AI in Transportation

AI in Transportation All Set to Redefine Urban Mobility

The hypotheses and developments in artificial intelligence stirred all kinds of hypes around this field of study. Research is underway for decades but it was only in the recent years that developments managed to hit consumer markets with integration in a range of products and services. AI in transportation is making a huge impact as computer vision software systems and machine learning algorithms are entirely redefining urban mobility.

Many new concepts would make to the development phase while a number of extensively tested features would be available for commercialization. This articles exclusively states the AI innovations that have the potential to revolutionize the industry in 2020.

Use of AI in Transportation for Autonomous Vehicles

Autopilot in aerial and marine vehicles is around for over a century now. Initially, the technology assisted human pilots in a very limited selection of tasks but improved over the time. We have witnessed a number of entirely autonomous aircraft models popularly known as unmanned aerial vehicle (UAV).

However, it was not until early 1990s that we started having autonomy in vehicles – that too on an intensely limited scale. Mitsubishi is arguably regarded as the first manufacturer to introduce and commercialize cruise control in vehicles. Mercedes-Benz is also one of the earliest automobile makers to invest in autonomy.

Society of Automobile Engineers (SAE) introduced a standard to classify the autonomy levels in commercial automobiles. Cruise control – the ability of a vehicle to maintain its lane and issue warning when a nearby vehicle or another object approaches dangerously near – defines the level 1 of autonomy. The standard also defines level 0 where vehicles are only capable of issuing warning and have no other control whatsoever.

The subsequent three levels further classify AI in transportation. Level 2 vehicles are capable of switching lanes and tackling nearby objects without human assistance but driver is required to keep hands on the wheel at all times. Level 3 allows hands off the vehicle but signals to intervene as needed. At level 5, a vehicle is fully autonomous eliminating human driver’s assistance.

SAE Autonomy Levels

Where does the autonomy in transportation stand today?

The challenges in autonomy are more of a regulatory framework than technical limitations. A number of manufacturers including BMW, Nissan, Tesla, Alphabet, Mercedes-Benz among others claim to have developed sufficient technology for self-driving cars. However, each of them is testing the vehicles under a wide range of circumstances. Besides, they are also ensuring to test the vehicles for a predetermined number of miles to achieve more certainty.

Waymo – a subsidiary of Google’s parent Alphabet – is offering level 4 autonomous taxi rides in Arizona. Tesla aims to introduce fully autonomous vehicles by the end of 2020 indicating a giant leap for artificial intelligence in transportation industry. Uber is testing level 3 and level 4 autonomous vehicles manufactured by Volvo. The ridesharing giant in partnership with some automobile manufacturers is aiming to introduce its flagship self-driving car in 2020.

Learn about some of the case studies at Mob Inspire

The year ahead is set to yield the outcome of the efforts building up for the past couple of decades regarding the association of AI and transportation. Although the large-scale commercialization of self-driving cars is still unlikely, yet technology would see widespread acceptance in various parts of the world.

Mobility as a Service (MaaS) to Enhance Ride-hailing Operations

Mobility as a Service

On-demand taxi service providers have redefined the ride-hailing industry by enabling passengers to instantly book a ride with only a few taps on smartphones. Although radio taxi services prior to the advent of on-demand economy were also providing instant booking over phone calls, yet the on-demand model carries its significance in that it allowed passengers and administrators to track ride in real time.

Besides, customers have the power to pay e-wallet and share feedback as soon as ride ends. Similarly, the apps on driver’s end provides them with the best route to destination. Many ride-hailing businesses allow drivers to find the nearby drivers from same service so that they may relocate to a nearby location where they have greater chances of getting a ride request.

Also read: Use Cases of IoT in Logistics

Ride-hailing is not immune of challenges though. Use of AI in transportation is on its way to address those challenges. A number of problems some of which are stated below have emerged in the decade down the road since the start of Uber era.

  1. Number of vehicles and gig workers registered with ride-hailing businesses is growing rapidly.
  2. Number of privately owned vehicles is not reducing as previously aimed.
  3. Service providers are ending up increasing fares to make their businesses sustainable.
  4. The amount of traffic congestion is increasing with dozens of ride-hailing businesses operating.
  5. Bus-pooling is an alternative but most passengers have to walk excessively to hop on a bus.
  6. Ridesharing or bus-pooling also takes more time than on-demand taxi services.
  7. There are very sharp tradeoffs when deciding between on-demand taxi and ridesharing.
How MaaS tackles the challenges of ridesharing with application of AI in transportation

MaaS also referred to as shared mobility network is a concept that has been widely regarded to define the future of AI in transportation. Instead of providing separate services for on-demand taxi and ridesharing, MaaS providers aim to combine these services so that passengers have more seamless experience.

For instance, a passenger looking to travel from point A to B would be offered the most optimized options that would include on-demand taxi, rideshare, and micromobility services. The resultant ride plan would reduce the walking time to almost minimal and may include one or more types of vehicles. A passenger may get a set of options like the one below.

MaaS AI in Transportation

It is notable that passengers would not require to book each ride separately. Instead, the artificial intelligence in transport system would enable passengers to get the entire ride plan by scheduling only once.

Also read: Technology in Logistics 2020

The transport departments in many developed countries are facilitating the efforts to phase out private vehicles, standalone services for on-demand taxi, public transit and micromobility and replace them with shared mobility. The regulatory framework for this transforming is under development stages for the past few years. It is highly likely that MaaS services would attract a large-scale adoption in 2020 in various metropolises.

Facial Recognition for Gig Driver Verification

Facial Recognition Software AI in Transportation

Uber recently faced a ban from operating in London – one of its biggest markets – on grounds of failure to prevent unregistered drivers from using accounts of other drivers. Uber, Lyft and other major ride-hailing businesses previously introduced a number of measures when the city’s transport authority warned ride-hailing giant of a potential ban in case of failure to meet the standards.

The measures include:

  1. Snap selfies at various times during the course of operations to ensure that the driver is a verified one.
  2. Panic button that allows passengers to call 911 with only a couple of clicks.
  3. Sharing ride-location in real-time with one of the contacts.
  4. Reminders to confirm number plate and driver as the one appearing in app.
  5. Automatic alert system to alarm passenger if ride goes excessively off track.
  6. Extensive background checks and driver education before registering them.

Despite all these measures, the ban of Uber indicates that transport authorities are all set to come down hard on ride-hailing service providers. Artificial intelligence solutions in transportation are enabling ride-hailing startups to overcome this challenge. All ride-hailing businesses will aim to add facial recognition feature to verify driver by at most end of the Q2 in 2020.

Mob Inspire is one of the pioneers in commercial development of facial recognition for gig drivers thereby expanding use of AI in transportation. One of our clients in Australia recently requested this feature. We developed and delivered a comprehensive system that recognizes drivers based on Computer Vision technology.

AI for Vehicle Surveillance and Traffic Forecast

Vehicle surveillance with AI in Transportation

Surveillance cameras are being used in hundreds of cities exclusively for surveillance of vehicles. The authorities retrieve the pictures from a particular time of the day to identify crime suspects.

Computer Vision technology is an impressive application of AI in transportation that identifies license plate in a picture to allow characters reading. Mob Inspire uses a combination of Computer Vision algorithms along with image processing to find a license plate in an image that may have any number of objects apart from vehicles.

Once the license plat is found, the algorithms of optical character recognition (OCR) are used to read the characters on plate. The outcome is compared with the database of vehicle registration departments to determine the origin and owner of vehicle. This way, authorities keep a track of each vehicle that passes through any junction in the city.

Artificial intelligence in transportation industry is also enabling transport departments to craft effective projections for traffic. Intelligent systems can identify growing traffic at one road and reducing at another in real-time. They use this information to attach bias in traffic signals so that each driver may get more or less equal wait time.

The use of big data with AI augments the capabilities of intelligent software systems. Traffic management units perform predictive analytics to identify the capacities of roads at usual times and during blockades. The proposed shared mobility network would also integrate passengers by sending them real-time notifications on traffic and recommendations for their route plan.

Drone delivery and AI powered network control system

Drone Delivery Network

Ground based on-demand delivery has been a huge source of relief to consumers’ lives who can deliver and receive parcels at their doorstep within an hour of placing the order. However, the excess of delivery businesses is going to make the space saturated in future. We already witness some cities reeling from traffic congestion.

Research in the past couple of decades indicates that mini drones are highly effective for delivery in urban areas due to growing congestion. Some drone delivery startups have emerged over the past few years mainly in San Francisco and Los Angeles. The operations from these businesses are so far so good.

However, there would be challenges in future as the number of drone traffic would increase. In a conventional case, the administrators will have to define speed, height and path for each drone in a spatial region.

Also read: Impact of Blockchain in Transportation

This is where Artificial intelligence solutions would be vital. Drone based delivery would serve little purpose if operators have to control each drone manually. AI enables you to make the entire delivery process automated from the time a drone is loaded with a parcel, delivered to destination, and returns. This is one of the most notable cases of future of AI in transportation.

The developers at Mob Inspire take their inspiration for drone delivery network from air traffic control systems. The difference lies in the fact that airplane pilots and UAVs set their path as per the directions from ground-based controller whereas drones in an AI network make the route plan independently unless explicitly tasked. A drone can set the height, speed and all notable parameters itself by identifying all other drones in the network.

Drones based on-demand delivery services are emerging for the past few years and 2020 would witness their expansion on a significantly large scale. The year would also possibly bring a regulatory framework for this industry.

Prepare to Live Ahead

The industries associated to transportation including logistics, delivery, ridesharing and automobile are all set to incorporate large-scale changes. Businesses are testing innovative features to enhance operations and optimize costs for years. The year 2020 will transform these industries with the innovations shared above as administrations are finalizing the corresponding regulatory framework.

It is about time you plan ahead of competitors and become of the pioneers in providing these features of AI in transportation. This investment is not only going to facilitate your customers but enable you to minimize costs and time consumption significantly.

Mob Inspire carries an experience spanning over a decade in developing intelligent systems. Our widespread clientele leads their respective industries by utilizing our transportation solutions.

What are you planning to accomplish? Do you intend to optimize your business with matchless software infrastructure or redefine business model right from scratch? Mob inspire can assist you in crafting a business model and developing a highly efficient software solution customized to your business needs. Contact us today so that our experts can take you further.

Technology in Logistics

Gear up for these technologies in Logistics in 2020

Logistics industry is technology-intensive. We get to see a range of emerging technologies under research and development phases every year and another set of technologies making their ways toward commercial availability. A slight retrospection of the decade reveals that a number of new areas for research emerged while others moved onto the commercialization phase. In essence, technology in logistics is constantly evolving.

This article shares some of the innovative technologies that are highly likely to make commercial availability on a limited or large scale in the logistics industry. Each of these technologies mainly falls in internet of things (IoT), extended reality, automation, blockchain and self-driving domains.

5G integration into IoT for Wearable Technology in Logistics

The cases of IoT in logistics and supply chain are now frequently coming up. Fleet managers can track the locations of each vehicle in real-time while warehouse managers can verify the authenticity of goods. Besides warehouse staff can also locate every item instantly and determine ahead of time when the supply of a product falls short or exceeds the required limit.

The upcoming year would further intensify the use of IoT since 5G is most likely to get commercialized. The speed of data transfer between transmitters and receivers would increase manifold while latency would reduce remarkably.

Improvement in speed and latency is inevitable now because real-time data information sharing is no longer a choice. Instead it is a compulsion for a range of reasons. The two most pressing reasons include:

  1. The US alone suffers from as much as $43 billion annually in food losses. There is an increased demand from regulators as well as retailers and consumers to place perishable items under real-time surveillance.
  2. Apart from food losses, supply chain leaves a huge carbon footprint. As the governments are pushing businesses to implement strict policy for reducing emissions, the businesses have no or little choice except complying with standards.

The number of logistics operators integrating IoT in fleet management systems is going to increase significantly in 2020. Businesses would be required to integrate sensors in fleet that monitor humidity, pressure and temperature and share the results with fleet managers in real-time.

Besides, the use of sensors identifying amount of emissions and the corresponding data sharing medium within a logistics management software would also witness a sharp hike. Each operator would eventually require publicly sharing data about emissions to democratize the entire logistics chain.

Robotic Process Automation for warehouse optimization

The use of QR codes and subsequently, RFID tags enabled warehouse managers to do away with the task of verifying each item manually. QR readers are extensively used in at warehouses and retail stores to confirm authenticity of a product.

Besides, QR readers also enable staff to find price of an item instantly. Scanning a unit having QR code with QR reader shares the results on a dedicated mobile app. This is helpful in multiple ways

  • A store owner can remotely confirm if a product is available in sufficient quantity or not.
  • The managers can tackle counterfeiting of products. Moreover, smart warehouse technology in logistics management also prevent expired or smuggled product units.
  • Staff members of a store can locate a unit instantly.
  • Warehouse managers can perform effective aggregate planning by ensuring that supply corresponds to demand.

Mob Inspire delivers field service management software customized to each operator’s needs. The software solution with its extensive range of robotic process automation tools eliminates the need to perform manual warehouse management. You can keep as little workforce as you wish by adding the amount of automation.

Blockchain Technology in Logistics for instant payment verification

The amount of time consumed in delivering a shipment from one part of the world to another is unnecessarily huge. Each shipment has to be verified for smuggling, payment verification, and counterfeiting by a number of stakeholders including manufacturers, warehouse owners, retailers, end consumers and regulators. Consequently, the cost of logistics also increases significantly apart from time.

Blockchain is widely regarded as the most viable solution for 2020 and beyond. All major fleet operators including MAERSK with its largest containership fleet are adopting blockchain. The effectiveness is not limited to fleet management. Blockchain based logistics management software is also causing a revolution in retail store management.

Two of the most noteworthy use cases of blockchain technology in logistics management include:

  1. Card-less Payment and Verification
  2. Payment through cash was already a thing of past. Blockchain enables you to move even a step ahead to eliminate centralized banking entirely. The decentralized banking through cryptocurrencies allows you to make payments through bitcoins. You can even have your own cryptocurrency if you intend so.

    Apart from payments, logistics operators are successfully verifying payments through blockchain in a remarkably lesser time. The verification that took days in the past takes only a few seconds now. Besides, blockchain enables you to democratize transactions by allowing each stakeholder to have visibility of payment history in real-time.

  3. Retrospective Tracking of Goods
  4. Blockchain provides another strategy to track perishable goods. Each stakeholder can find the date of production and duration of travel for the unit being shipped. The involved parties have the access to entire history but none of them can forge or delete data since blockchain technology is immutable.

    The tracking through blockchain is highly efficient in tackling the counterfeiting of drugs – one of the biggest challenges in global pharma industry today. Each block provides exact and immutable details of the origin of a drug to ensure that retailers do not accept consignment with counterfeited units.

    The accumulative losses from delays in transportation, drug counterfeiting and foodborne diseases are of the order of several hundred billion dollars. Thus, blockchain based logistics management app solutions are inevitable for transportation and logistics industry.

The commercial framework for autonomous fleet in supply chain

Autonomous vehicles are rapidly becoming a norm. The year 2019 remained revolutionary with multiple operators launching level-3 self-driving vehicles. Apart from Tesla for private use, Uber and Waymo are utilizing autonomous vehicles for ridesharing purposes.

Although there are incidents involving crashes, yet the probability of an autonomous vehicle crash during a journey is very small relative to conventional vehicles. The number of miles traveled against that of crashes confirm this claim.

The encouraging results are pushing logistics fleet owners to introduce autonomous vehicles in supply chain too. Some of the sea-based and aerial logistics operator already have autonomous systems. However, a number of operators would introduce ground based autonomous fleet.

“Automated or self-driving vehicles are about to change the way we travel and connect with one another.”

Elaine Chao – U.S. Secretary of Transportation

Some large-scale logistics business managers are partially operating autopilot in vehicles. The autopilot technology in logistics is extensively used during intercity travels where traffic is minimal. The vehicles in the fleet are capable of applying brakes as soon as the leading vehicle applies brake.

This strategy is proving to be paying so well to research and development in fleet efficiency. The vehicles traveling at constant speed with calculated inter-vehicle distance ensure minimal air friction. Consequently, there is a considerable reduction in fuel consumption.

The commercialization of level-5 autonomy is highly unlikely to be on the cards anywhere before 2025, a number of businesses however would be introducing partial autonomy by the second half of 2020.

Extended reality to facilitate drivers and augment driving experience

Some of the major logistics service providers and vehicle manufacturers are introducing augmented reality features in vehicles for a highly immersive experience. The information including but not limited to weather update, cabin temperature, driving speeds, usual and unexpected blockades is now ubiquitous.

The fleet operators can also mark milestones virtually so that drivers would be able to see each labeled object and the corresponding information in real-time. Moreover, you may also provide real-time 3D navigation facility to drivers so that they find and traverse the most optimized route.

Google announced AR Maps earlier this year and launched what it calls Live View. This feature in Google Maps, still in its testing phases, is set to make widespread adoption in 2020.

Apart from enhancing driving experience, augmented reality technology is also enabling truck drivers to repair minor faults. The combination of wearable gadgets mainly AR glasses enables drivers to find the fault lines and take corrective measures.

Many logistics operators are starting to offer a selection of these AR features. DHL shares some of the use cases of augmented reality and wearable technology in logistics in this brief video.

Transportation industry has over 13.3 million employees in the US due to the repetitive jobs. Utilizing extended reality technologies effectively can save a huge volume of costs. Some glimpses from DHL indicate that businesses employing AR would make huge gains in 2020.

Logistics in 2020 – A Recap

Logistics in 2020

Do you look forward to 2020 and beyond?

Logistics industry continues to evolve with innovative technologies. While AI, big data and IoT technologies are around for some years now, many new inventions and advancements including blockchain and 5G are setting feet deeper into delivery, logistics, and transportation.

Mob Inspire stands among the top technology solution providers and logistics app developers in the world with a range of digital solutions including field service management software, last-mile delivery solution, and logistics management.

Do you intend to optimize your logistics business or aim to launch one from scratch? Contact us today so that we can develop a feasibility study and provide you with a comprehensive business plan before moving on to development phase.

Video Subscription Platform

Why invest in Video Subscription Platform Business?

Digital media industry is growing at a wild pace since the commercialization of cloud based platforms. It is not only the social media channels that are contributing but live streaming and original content providing platforms as well. The trend of providing video content through smartphone apps is gaining remarkable attraction. An entire industry based on video subscription platform has emerged in the recent years.

 

Crowd-sourced video content providing apps like YouTube and 9GAG are around for many years now. Subscription based platforms like Netflix, and Hulu are also around for some time. However, mobile app based video on-demand services of these providers apart from HBO Now and Apple TV are relatively recent.

Mob Inspire develops and delivers software-as-a-service and on-demand mobile solutions to digital media industry for over a decade. In this article, our experts reveal market analysis of video on-demand business model. It also highlights the factors that ensure success. Meanwhile, the article states reasons for why cable and satellite TV service providers should opt on-demand business model.

Video On-Demand Market Analysis

The statistics from credible sources released in 2018 indicate an incredible annual growth of over 38% in market size of on-demand industry. The market in the prior year was calculated at $42 billion which reached as high as $58.3 billion in the following year. Considering the current growth rate, the sector is projected to grow up to $91 billion by 2023 providing a significant boost to digital media industry.

Why VOD Makes Up a Successful Business Model?

There are undeniable reasons that enable subscription VOD platform highly attractive. The flexibility in services, convenience of getting the desired content, cost of subscription or purchase and portability are some of the notable factors pushing customers to replace traditional cable and satellite TV.

1. Flexibility and Convenience

Unlike VOD, there is no way as yet to personalize content for each viewer. For instance, if a person wants sports and athletics content only, other channels would still be available on cable and satellite TV. Video on-demand attracts subscribers since the content is most relevant to each customer’s interest.

Moreover, VOD services enable customers to watch content at the time of their choice. They can pause and rewind programs and play back whenever required. They can also forward a program unless one is broadcasting live.

2. Subscription Costs

The subscribers of VOD are obliged to pay only for the subscribed content. The charges would be only as much as the viewed content. Despite this flexible cost model, the subscription video on-demand providers earn significantly more than their cable TV competitors.

Apart from this model, video subscription service also enables customers to subscribe on monthly basis. The details in business models vary because some allow unlimited viewership for a monthly package while others place a range of limitations.

3. Content Portability

Your customers can access the subscribed content from anywhere with an internet connection. The availability of a unique account ensures that their progress remains intact. In essence, subscribers can quit watching a program at one time and resume watching it later from where they left. The apps from top providers are capable of running seamlessly on devices with every available screen size.

Furthermore, more than one customer can use the same subscription package with their unique profiles. The distinctiveness of profiles enables each of them to personalize content and save progress. Every user of a shared package can access video content any device and location.

Which VOD Business Model is Suitable for You?

Apart from the factors mentioned above, some native aspects in every region are crucial to consider while working on online video subscription platform. The socioeconomic situations and current trends shape the interests of customers. Thus, you may need to make a behavioral and geographic analysis before starting to collaborate with original content producers.

VOD Success Factors

The aforementioned points indicate that VOD model has very high probability of success. Numerous factors influence the probability. Following are some of the most notable factors making the business more meaningful.

Content Delivery Network

It is absolutely crucial for individuals to have knowledge on how they are going to sustain and expand the business in future. Devising a growth path takes more significance in case of online video subscription platform because your customers would be spread across various regions of the world.

Utilization of Content Delivery Network (CDN) provides you the ability to offer localized servers for each region. The natives of each area are able to access the video from nearest server. For instance, Google has placed its CDNs in every inhabited continent. Each search query generates quick results as the traffic on local servers is relatively lesser.

Also read: Why Big Data is incredibly effective in Digital Media industry?

If customers access videos uploaded on single server from around the world, it is highly likely that the server would face bottlenecks and excessive traffic. Thus, CDN is essential to ensure smooth content delivery for customers spread in various regions.

Cloud-based Video Platform

The selection of underlying cloud infrastructure and cloud integration service provider is significant. Cloud infrastructure refers to the server where your mobile app, website and entire content would be uploaded. The most credible platforms include Microsoft Azure and Amazon’s AWS.

Cloud platform selection rests on multiple factors including projected number of users after a given number of years, tradeoffs between price and quality, and amount of demand in every region.

Mob Inspire lists among the top cloud integration service providers for on-demand mobile solutions. Our primary choice is AWS for its relentless performance and unparalleled speeds. We have delivered 81 on-demand platforms so far to companies in over 30 countries.

The platform includes mobile and web based apps for customers and admin panels for business executives. You can expand business to new regions or allow more traffic to existing regions almost effortlessly by updating cloud package.

Flawless Device Compatibility

Your subscribers would be using a range of devices with varying operating systems, screen sizes and processors. Thus, the mobile app development should be perfect to efficiently run the app regardless of the devices used.

Compatibility problems in video subscription software integration occur frequently. This may end in a number of unwanted consequences including poor rendering of a video to screen and app crashing. The app should fully utilize cloud benefits by consuming least space on users’ phone. Instead entire content should be placed on remotely located CDNs.

Variety of VoD Subscription Service Models

Cable TV would not allow your customers to watch shows when and where they want. Besides, the pricing structure of cable and satellite TV networks is rigid. In essence, your customers must pay a fixed price no matter how little or large amount of time they would spent on watching the channels provided by you.

Video on-demand platform replaces cable and satellite TV businesses with a highly flexible model. The subscribers can watch favorite TV shows at their own pace. They can stream video content from any place where your services are available.

The pricing structure of acquiring on-demand video widely varies with a number of business models. You can offer your customers one of the following services or a combination of them.

1. Subscription Video On-demand (SVOD)

A customer pays for accessing all the TV shows and live streaming of available events. You can either put a limit on amount of content accessed or time duration after which the subscription period expires.

Popular subscription VOD platforms like Netflix and Hulu offer monthly subscription packages accessible through multiple accounts so that most family members can access content on their phones, tablets or laptops. On-demand mobile solutions make this model even more attractive.

2. Advertisement Supported Video On-demand (ASVOD)

A marketplace for video sharing used to be one of the hottest VOD business models up to few years back. The users can access videos without charges on these platforms. Meanwhile, service providers can earn revenues by allowing advertisements that play at the beginning or somewhere in the middle of a video.

However, services like YouTube and Dailymotion have penetrated to every corner of the world up to the extent that there is little for another similar platform.

Introducing ASVOD alone would rarely make any notable gains now because existing service providers have extremely high brand equity. However, ASVOD would work very well when introduced in combination with SVOD or below-mentioned TVOD.

3. Transactional Video On-demand (TVOD)

To provide further granularity in pricing plans, you can enable customers to pay for each video they watch instead of acquiring entire package. This pay-per-video model is relatively new but proving to be highly successful as it allows even more flexibility.

There is a massive range of TVOD use cases. One notable case is the selection of games in a competition that a customer would like to stream. For instance, I am more inclined to watch LA Galaxy games because I am a fan of this MLS club. TVOD model allows such fans to get the streaming of the game that they intend to watch.

Another model similar to TVOD is Premium VOD or P-VOD. The service providers would be able to get the license to release a movie on platform on the same day of its release. Thus, the subscribers would be able to watch new movies without needing to travel to cinemas.

Launch your VOD Platform Today

The statistics and causes of success in video on-demand business reiterate the fact that cable and satellite TV would be obsolete soon. The disruption is underway at a higher pace than ever before. Whether you are a cable or satellite TV operator or an entrepreneur aiming to invest in digital media industry, adopting VOD business model is your best bet.

Mob Inspire is developing mobile based software platforms for more than a decade. Apart from serving digital media industry, our on-demand software solutions are assisting startups and enterprises in transportation, home services, real estate and healthcare. We are also listed among the top companies for providing enterprise mobility management solutions.

We would like to know about your business plans and intended areas of services. Our development team would not only help in providing the most appropriate software technology but in business development and marketing as well. Contact us so that we can move ahead.

applications of artificial intelligence

Dubai Launches AI based Virtual Fatwa Service

Dubai ranks among the metropolises that are quickest to adopt advanced technologies. The administration has launched AI based fatwa issuing service earlier this week to instantly respond to religious queries. This development is seen as one of the landmark applications of artificial intelligence.

Fatwa is a formal ruling in Islam issued by qualified clerics in response to an inquisition. Islamic Affairs and Charitable Activities Department (IACAD) is the official body in Dubai to issue fatwas for the past fifty years.

The city serves as one the top destination for companies intending to test their product and services. More businesses are making their ways into the city because Dubai provides a highly favorable environment for corporate activities.

How does AI Fatwa service work?

The inquisitors can access the service at the website of the IACAD – one of the oldest state-run agencies in the emirate. A chat box opens up upon clicking the icon placed on the bottom right corner labeled “Chat With US”. This chat icon is accessible from every page on the site.

Once clicked, a couple of messages appear with Islamic greetings followed by the request to choose language. As soon as you select the language out the available choices including Arabic and English, another group of messages appear stating the topics on which the questions can be asked. The instructions confirm that the service answers questions in four categories including Prayer, Zakat, Purity, and Worship.

AI Fatwa 4

Moreover, one of the messages admits that the answer might be erroneous in some cases and invites inquisitors to assist the IACAD if one finds an error.

Mob Inspire team members tested the services with varying inquiries from the indicated topics. The chatbot responds to each query by mentioning “I understand what you are asking for” if it understands the question. Otherwise, the bot responds with “Sorry could not understand your question, Kindly would you rephrase your question in order to serve your demands properly”.

One of our team members inquired about an ambiguity that he said was facing for quite long. The screenshot showing inquiry and the response of artificial intelligence fatwa issuing chatbot is shared below. The inquisitor believes that this AI fatwa service is highly efficient and shares the most relevant responses to each question.

AI Fatwa AI Fatwa 2

Part of a Larger Plan

The objective of Dubai administration is to make the metropolis the “smartest city” in the world by incorporating artificial intelligence services in all public departments. AI Lab is one of the ambitious programs in this direction. The purpose of this lab is to instantly facilitate residents and visitors of the city.

AI Lab has launched multiple initiatives including startup support to provide a testbed to technology enthusiasts as well as notable manufacturers. The lab also aims to make every government department paper-free by 2021.

In a bid to make Dubai the happiest city on planet, this state-sponsored AI Lab is using machine learning technology to predict the needs and desires of residents and visitors and provide them a personalized and efficient experience that corresponds to everyone’s requirements.

Dubai 10X is another major program to set forth the technology future of the city. This program aims to push Dubai 10 years ahead of rest of the world with the application of advanced technologies including AI, big data, blockchain, IoT, and extended reality. The initiative of issuing Virtual Fatwa is also a part of this larger plan.

Past Applications of Artificial Intelligence in Dubai

The Virtual Fatwa service is claimed to be the first initiative of its kind in the world to use artificial intelligence for religious purposes. However, Dubai is demonstrating the applications of artificial intelligence for over five years.

Dubai Police introduced Robocop – a police robot – that detects emotions and understands gestures of people. The robot is capable of determining the mood of people by reading face expressions and body language.

The Federal Authority for Identity and Citizenship – the official body to recognize citizens in Dubai – leverages AI to serve customers. Multiple other state departments including Dubai Municipality, Dubai Metro, and Roads and Transport Authority are utilizing robots that are powered by artificial intelligence.

Healthcare is one of the earliest sectors in the city to have adopted AI. State-run hospitals are performing cardiac surgeries since 2014. The healthcare administration is also investing in developing artificial intelligence solutions that can efficiently diagnose a disease and make the most suitable recommendations.

The Road Ahead

Dubai presents one of the best robotic process automation success stories in the world. While Virtual Fatwa is apparently one small step, it reflects a giant leap toward building the smartest city on planet.

Mob Inspire is one of the primary stakeholders in the global developments concerning artificial intelligence. Over the past 11 years, we have developed a range of intelligent software systems including shared mobility ecosystem and on-demand solutions. Our artificial intelligence solutions are revolutionizing the world by facilitating users with cost and time optimization.

Contact us today if you are interested in developing AI solutions or to incorporate robotic process automation in your department.

Big Data Processing

Big Data Processing – Use Cases and Methodology

The introduction of big data processing analytics proved revolutionary in a time when the quantity of data started to grow significantly. One scale to understand the rate of data growth is to determine data generated per second on average per head. While it is true that a proportion does not have access to the internet, most internet users generate more than this average. Thus, the net generation currently stands at 1.7MB per second per person.

Why Choose Big Data Analytics over Traditional Data Mining?

Traditional mining involving data warehouse (DWH) was the approach used for data analysis of all scales before the advent of big data. The introduction of frameworks, technologies, and updates in them are making big data analytics the best approach for data analysis on datasets whose size amounts to terabytes.

Data analysis time reduction

Traditional data analysis using extraction, transformation, and loading (ETL) in data warehouse (DWH) and the subsequent business intelligence take 12 to 18 months before the analysis could allow deducing conclusive outcomes. In sharp contrast, big data analytics roughly take only three months to model the same dataset. Big data also ensures excessively high efficiency which DWH fails to offer when dealing with extraordinarily large datasets.

Data analysis cost reduction

Traditional data analysis costs three times as much as big data analytics when the dataset is relatively large. Besides cost, big data also ensures significant return on investment because big data processing systems used for analytics including Hadoop and Apache Spark are proving to be highly efficient.

Notable Use Cases and Industries for Big Data Applications

Understanding loopholes in business

It is often the case with manufacturers as well as service providers that they are unable to meet targets despite having immaculate products and unparalleled efficiency. Determine why some of the areas in your business model lack expected output while others continue to generate more than anticipated.

By utilizing big data processing for large scale businesses, companies can perform quantitative as well as qualitative risk analysis with far less resources of time, money, and workforce.

Future forecast

Predict with high precision the trends of market, customers, and competitors by assessing their current behavior. It is notable that this prediction is not speculative. Rather, it is powered by real-world records. There are various channels used for data sources depending on the underlying industry. Social media is one of the top choices to evaluate markets when business model is B2C.

Strategic decision making

Crucial corporate decisions should not be based on hit-and-trial methods. Instead, you need to analyze market and streamline future goals accordingly.

Business landscape is changing rapidly in the current corporate sector owing to the growing enterprise mobility technologies and shrinking cycle of innovation. Big data processing analytics provide insightful and data-rich information which boosts decision making approaches.

Understanding customers

The amount of new and retained customers in a time period projects the potential of a business. Customers carry various motivational factors to prefer one product over another. Instead of interviewing the potential customers, analyzing their online activities is far more effective.

Thus, big data management and processing allows you to determine the path that a customer chooses to reach you – or, for that matter, to reject you.

Realigning Marketing

Before big data was a thing, the enterprises used to perform post-launch marketing. However, this strategy involves significant risks because the product or service might not be as appealing to customers as to you. The leverage of big data analytics in support of decision making process enables companies to perform marketing prior to the launch. Consequently, they can introduce need-based products and services which are highly likely to ensure achieving targeted revenues.

Sentiment Analysis

The big data does not only provide market analysis but also enables service providers to perform sentiment analysis. Using this technique, companies can identify context and tone of consumers in mass feedback.

Optical character recognition in combination with big data processing in image processing also assists in sentiment analysis. Apart from social media, the public relation sites are also sources to collect data for such analysis.

Intelligent algorithms are capable of performing this analysis by themselves – a technique usually referred to as supervised machine learning. In other words, companies no longer require multiple human resources to evaluate each feedback.

Fraud Detection

Big data enables banks, insurance companies, and financial institutions to prevent and detect frauds. The traditional methods to detect financial frauds occurring with credit cards present a dilemma here. A company can either provide unhindered and streamlined experience to its customers or it can ensure security at the cost of miserable experience.

Big data analytics allow ensuring seamless customer experience as well as security at the same time. Using big data analytics, companies have been able to markedly bring down fraudulent transactions and fake claims.

Disease Detection

It would be astonishing if you are still unaware of the revolution that big data is causing in the healthcare industry. The technology in combination with artificial intelligence is enabling researchers to introduce smart diagnostic software systems. Big data medical image processing is one of the most mentionable examples.

Besides, it also allows software to prescribe medicine by assessing patients’ history and results of relevant tests. These capabilities are significantly bringing down the cost of operations.

Mob Inspire Methodology for Big Data

Mob Inspire uses a comprehensive methodology for performing big data analytics. The experience of working with various industries enabled our experts to work on a range of tasks. The variety of tasks posed occasional challenges as well when we had to solve a problem which never occurred before.

However, the professionals did not only remain successful but developed enterprise level big data framework too. This framework allows them to revisit documented cases and find out the most appropriate solutions.

Data Extraction

Big data often requires retrieval of data from various sources. While the sources vary depending on the project, yet social media and search engine queries are the most widely used sources. Banks use transaction records for fraud detection whereas healthcare companies use data regarding patient’s medical history to train software for intelligent diagnosis and prescription.

The companies providing video on-demand (VOD) services acquire data about users’ online activity. This data enables providers to determine consumer’s choices so that they can suggest them the relevant video content. Companies utilize their own enterprise data to make strategic corporate decisions.

For instance, a construction company aiming to optimize resources would acquire data of a range construction project and process them to find out the areas where cost and time consumption can be minimized.

Thus, data extraction is the first stage in big data process flow. The retrieved data is placed in a repository technically referred to as Data Lake. It is notable here that big data analytics require unstructured data – the kind whose data does not exist in schema or tables. Instead, it is stored in flat hierarchy irrespective of data type and size.

Data Cleansing

A data lake is a container which keeps raw data. The process of data cleansing provides appropriate filters to ensure that invalid, relatively older, and unreliable data filter filters out before latter stages big data processing.

Data reliability implies the sources from which you acquire datasets. For instance, you may require electronic healthcare records (EHR) to train software for automatic prescription and diagnosis. A collection of fake EHR would spoil the training of AI resulting in exacerbating the automation process.

Data currency indicates how updated is the dataset. Data has to be current because decades-old EHR would not provide appropriate information about prevalence of a disease in a region. For instance, only 1.9% of people in the US had macular degeneration. This percentage is projected to grow beyond 5% by 2050. Using the data from 2010 to perform big data analytics in 2050 would obviously generate erroneous results.

Validity of data explains its relevance in the problem at hand. For instance, a taxi business aiming to determine consumer behavior would assess people who travel by taxi or another ride-hailing service. It would be inefficient to consider people who commute by public transport. Developing and placing validity filters are the most crucial phases at data cleansing phase. Thus, cleansing is one of the main considerations in processing big data.

Preprocessing

This phase involves structuring of data into appropriate formats and types. The data acquired and placed from various sources into Data Lake is unstructured. There is no distinction of types and sizes whatsoever. Many analysts consider data cleansing as a part of this phase. However, Mob Inspire treats data cleansing separately due to the amount of tasks involved in it.

The cleaned data is transformed with normalization and aggregation techniques. Transformation makes the data more readable for the big data mining algorithms. For instance, if the data has a broad range, it is plausible to convert the values into manageable equivalents. This transformation process is performed again once the mining is done to turn the data back into its original form.

Training with Machine Learning

This phase is not an essential one but applies to a range of cases making it significant among big data technologies and techniques. Machine learning involves training of software to detect patterns and identify objects. However, ML is must when the project involves one of these challenges. ML can be either supervised or unsupervised.

Supervised Machine Learning:

It refers to the approach where software is initially trained by human AI engineers. They ensure to place certain bounds (bias) so that the outcome does not exceed the logical range. Supervised ML is the best strategy when big data analysts intend to perform classification or regression.

Classification is the identification of objects. Software trained to perform this recognition has to decide, for instance, if an object visible in a frame is an apple or not. The system would generate a probability based on the training provided to it making it a crucial phase in big data processing pipelines.

Regression is performed when you intend to draw pattern in a dataset. For instance, determining the behavior of financial stocks by analyzing trends in the past ten years requires regression analysis.

Unsupervised Machine Learning:

Unsupervised ML implies the approach where there are no bounds and the outcome can be as unusual as it can. This ML provides more flexibility is pattern identification because it does not have limitations on the outcome. Unsupervised ML also considers extremely unusual results which are filtered in supervised ML making big data processing more flexible.

Clustering is one significant use case of unsupervised ML. The technique segments data into groups of similar instances. Thus, members of the same group are more similar to each other than those of the other groups. There are usually wide ranging variables for clustering. Association is the other instance which intends to identify relationships between large-scale databases.

Many projects require reinforcement learning which refers to the technique where a software system improves outcomes through reward-based training.

Segmentation and Visualization

The outcome of ML provides distinctive groups of data regardless of the technique you use. These groups are run through more filters, at times, if needed. The phase of segmentation nurtures data to perform predictive analysis and pattern detection. One notable example of pattern detection is identification of frauds in financial transaction.

The segmented results essentially take the form of relational databases. At this point, data scientists are able to visualize results. Datasets after big data processing can be visualized through interactive charts, graphs, and tables. The result of data visualization is published on executive information systems for leadership to make strategic corporate planning.

Tool, Technologies, and Frameworks

Mob Inspire uses a wide variety of big data processing tools for analytics. Our experts use both Hadoop and Apache Spark frameworks depending on the nature of problem at hand. They have expertise on big data programming and scripting languages including R, Python, Java, and NoSQL. Mob Inspire use SAS and Tableau for visualization.

Big data technologies

Big data analytics take your enterprise to unimaginable heights in incredibly short time – provided the analysis is correctly performed. We utilize multiple big data processing platforms depending on the nature of tasks. Contact us to share the specific business problem with our experts who can provide consulting or work on the project for you to fulfill the objectives.

iOS 13 features

Apple iOS 13 New Features and Updates in a Nutshell

A week after the launch of impressive set of smart devices, Apple launched iOS 13 – the latest in its series of operating systems for iPhone. The new features bring massive opportunities for entrepreneurs to introduce new apps and developers to innovate. Following are the ten notable areas where Apple introduced innovative iOS 13 features.

    1. Siri

    Siri gets a new voice based on Neural Text-to-speech. Unlike earlier versions which sounded robotic, the new voice sounds much more natural with occasional emphasis on words wherever required. The listeners would feel like talking to a human.

    The revitalized voice assistant now provides personalized recommendations in Safari, Radio, Podcasts, and Maps. It suggests most visited apps, reading list and bookmarks to the users. Besides, you can also switch the radio station all by voice commands. In one of the previous articles about iOS development trends, Mob Inspire experts correctly predicted the changes in Siri.

    2. Appearance

    Apple brings the much anticipated dark mode in iOS 13 features to facilitate usability particularly in low-light areas. This new theme implements at the system level and not for the selected apps. You can also integrate dark mode with third party apps.

    There are various options to use dark mode. Users can schedule the mode to automatically turn on and off at predefined times. For instance, the phone environment would turn dark at sunset and switch back to light mode at sunrise. Wallpapers also change automatically to ensure optimization.

    A built-in shortcut app allows you to personalize daily routine. You will get reminders whenever a scheduled event draws nearer.

    Also read: Apple Event Fall 2019

    3. Airpods and Accessibility

    iOS 13 enables you to connect two pairs of Airpods simultaneously. Thus, two users can listen to a song at the same time.

    Siri can also read your messages aloud when indicated by the owner. This feature would work with Airpod of second generation or above. Apple aims to launch both audio sharing and loud messages features in upcoming fall update.
    The enhancement in accessibility reflects in the fact that users can control device solely with voice commands. The OS ensures to process new languages and words on device since connection to third party may result in eavesdropping.

    This version of iOS brings an exciting range of features for enhancing accessibility. Rich text editor is most notable as it enables users to correct sentences and words simply by giving voice commands.

    4. Camera

    The voice control in camera remains active only while you are looking at it. It sleeps once you look away to ensure that the phone does not catch the commands while you are talking to someone around.

    One of the most incredible new features is the portrait lighting adjustment. You can take the virtual lighting effect closer to a subject or farther from it. Moreover, Light-Key Mono is another lighting effect which turns an image into classic black and white.

    Also read: Also read: A Guide to Enterprise and Consumer App Development

    5. Photos

    The redefined Photos tab enables users to find and manage pictures in multiple ways. For instance, you can create a timeline of photos for each month, week, and day – and view the remarkable moments. Besides, Photos tab would only show the best shot when a group of multiple shots are taken.

    A smart organization of photos provides the ability to view the most important images by prioritizing the significant ones over relatively insignificant ones. Photos also show the images of people with birthdays so that you can easily navigate to those photos.

    6. Find My

    The previous versions of iOS had two distinct apps called “Find My iPhone” and Find My Friends. iOS 13 combines the two apps to increase usability. Now you can search for devices and people from the same app.

    One attractive feature is to find a device without WiFi or cellular connection. You can achieve this feat by connecting another device to yours via Bluetooth. The location of your device would appear on the connected device without sharing any other piece of information.

    Also read: Also read: App Development Outsourcing

    7. Apple ID Sign-in

    The users no longer need to create separate accounts each time they need sign-ups for websites and third party apps. Apple ID can now be used to quickly log into apps like Google account. The difference lies in the fact that you can log in not only through passwords but through Touch ID and Face ID as well.

    Apple sign-in prevents sharing email if you intend so. Thus, you can choose to sign-in using Face or Touch ID without sharing email address. Apple ID is now more flexible allowing platform independent signing. For instance, you can open apps requiring Apple ID on desktop and android phones as well.

    8. Maps

    Apple is redesigning Maps for quite some time. A small glimpse appeared in latter updates of iOS 12. The new revamped app is set to roll out with the fall update. The app is going to offer highly realistic view that would offer almost effortless understanding to new users.

    This high resolution app with improved distinctions of roads from pavement would be available initially in the US. It also provides a highly interactive 3D view. The integration of Siri with Maps is also enhanced with natural language and end-point guidance.

    Also read: Also read: How Mob Inspire Assists You in App Development?

    9. HomePod

    An iPhone with iOS 13 is capable of recognizing multiple voices. This feature allows more than one users to use the same phone. In essence your phone can tell apart your voice from that of your family members and friends providing personalized experience to each user.

    Each user of this phone would be able to play their playlist, for example, with referring to the name using HomePod. Moreover, you can transition between HomePod and Airpod in real-time without needing to “pause” the song or hold a phone call.

    10. HomeKit

    Apple reaffirms its commitment to data security by sharing photos and videos with iCloud from HomeKit-enabled cameras. There is a range of small changes in Home app to increase usability with changing iOS app trends.

    Users would be able to control the communication between routers and HomeKit accessories to increase security with the upcoming update. The same update will also bring features that would automate music playing features with AirPlay 2 speakers.

Let’s Innovate and Inspire!

The developers at Mob Inspire are all set to play around with new features to innovate and inspire. Our experts tested iOS 13 features in combination with Bionic processors to learn that this operating system version is twice as fast as any of its predecessors.

Mob Inspire has the privilege to develop apps in every version of iOS. Our team loves to work on challenges and innovative ideas. We would love to work with you on the next big thing. Contact us today.

Apple Event Fall 2019

Apple Event Fall 2019 Everything You Should Know

Apple announces a whole bunch of enthralling devices and updates to its inventory at Apple Special Event. Time Cook introduced iPhone 11 and its variants including iPhone 11 Pro and 11 Pro Max, Seventh-generation iPad, and Watch Series 5. The Apple event 2019 also featured the trailers of original content for upcoming Apple TV+. Besides, a number of games were demonstrated which are set to be available with the launch of Apple Arcade.

Each of these new gadgets has exciting features that never appeared before in any smart device. Moreover, Apple further boosted the efficiency by integrating more performance intensive processors. Following are the devices launched at Apple September’19 Special Event. The salient features of each device are also shared.

iPhone 11

Apple integrated a number of features for the first time in its latest iPhone. These features provide a wide range of options to develop iOS apps. Following are the most notable takes from each of the iPhone 11 variants.

iPhone 11 Pro

Note: The additional features of iPhone 11 Pro and Pro Max are explicitly mentioned.

Camera

  1. Although the resolution of rear camera remains at 12MP, yet the introduction of ultra-wide snapper implies that you can cover much more area in a single shot. The availability of twin cameras ensures that pixels do not distort. Single wide angle camera with lens offering 120¬o coverage focuses on a single point as with the case in traditional smartphone cameras.
  2. Apple appears to have placed a strong emphasis toward improving picture quality in low light areas. The introduction of night mode serves this purpose. Photos taken in night mode demonstrate remarkable quality even in the considerably dark places like concerts. The camera turns into night mode by default in areas.
  3. Front camera attains a notable enhancement with 12MP 4K resolution as compared to 7MP in iPhone X. TrueDepth is retained while semantic rendering is added to improve photo processing.
  4. Another highly anticipated camera feature is the ability to take slow-motion selfies or “slofies” as labeled by the company’s officials. The camera is capable of capturing videos up to 120fps.
  5. Besides slofies, a number of other features are added for enriching experience in video making. For instance, you can zoom-in by transitioning between the two cameras. Another attraction is QuickTake. This feature allows taking videos without switching to video pane by long pressing the photo shutter.
  6. Apple also announced availability of Deep Fusion with fall update of iPhone. The camera would take multiple shots when in Deep Fusion mode. Neural Engine would compare each pixel in one picture with the corresponding pixels in every other shot. Eventually, it would select the best combination of pictures to compile the best photo.

Processing Speeds and Battery

The previous studies at Mob Inspire to compare the processors of Apple with those used in smartphones manufactured by other companies indicate that Apple is way ahead. Bionic A11 processor integrated in iPhone X was almost twice as fast as Samsung Galaxy S9 considering a wide-ranging variables.

This trend is likely to continue because iPhone 11, as claimed by Apple, outperforms iPhone X – its predecessor – by over 20% greater efficiency. A13 Bionic processor of iPhone 11 also outperforms A12 Bionic used in iPhone XS and XS Max.

Also read: iPhone 11 Specs in a Nutshell

Apple claims that its Next Generation Neural Engine in A13 performs one trillion operations per second. Besides, This AI accelerator, according to company’s officials, performs matrix multiplication 6x faster than its predecessor.

The battery life is one of the most crucial factors for smartphone customers. Apple guarantees that battery lasts an hour more than iPhone X and its variants.

Durability and Audio

The durability is claimed to have increased with improved water and dust resistance. The phone would not take any impact 2m underwater for up to 30 minutes. Shock resistance is also enhanced to protect screen up to a remarkable degree.

iPhone 11 brings Dolby Atmos for providing an immersive and theatrical experience. Besides, a new visualizer ensures spatial audio. Max storage space available in iPhone 11 is 256GB with optional variants of 64GB and 128GB.

iPhone 11 Pro and iPhone 11 Pro Max

A number of features distinguish iPhone 11 Pros from iPhone 11.

  1. iPhone 11 Pro and Pro Max have an additional 12MP telephoto camera with 2x optical zoom. Although the demonstrative sample videos and photos were taken by professional photographers, yet the officials are certain that Pro cameras can be used as comfortably by average user.
  2. Screen sizes widely vary as with the case in previous generations. iPhone 11 has 6.1-inch display. iPhone 11 Pro has relatively smaller 5.8-inch display size, though it is powered by super retina XDR. Pro Max also offers super retina XDR display in a massive 6.5-inch screen. Same screen size as XR.
  3. Battery timing is one of the distinguishing features of iPhone 11 Pro and iPhone 11 Pro Max lasting 4 and 5 hours more than iPhone X series, respectively. This implies that Pro variants last 3 and 4 hours more than iPhone 11.
  4. Apart from 64GB and 256GB, the Pro models offer 512GB variant as well. Color variation also provides a slight difference with Pro models offering Midnight Green color scheme. Purple and green colors are debutants in all three models.

Also read: iPhone 11 Pro Specs

Seventh-generation iPad 10.2

Apple introduced iPad air in March 2019 Special Event. However, a new generation of iPad kicks off with the release of Seventh- generation iPad. Although many features have been retained from preceding generations, yet some exciting new functions are added to enhance user experience and attractiveness.

iPad 7th gen

Previous versions were lacking a dedicated operating system. Earlier generations used iOS. However, iPadOS – as it is called – is the default OS for iPad 7th generation. This update would immensely improve the performance of iPad since iOS, at times, showed compatibility problems for a selection of apps.

Also read: Seventh-generation iPad 10.2

iPad 10.2 provides the first instance when a smart device is developed from 100% recycled aluminum. Following are the most distinctive features of Apple Seventh-generation iPad.

Display

Bigger screens present an obvious reason to convince customers for spending on iPad. Thus, Apple pays strong emphasis to screen resolution and multitasking. Seventh-generation brings a number of remarkable updates as listed below.

  • You do not require an app for switching to dark mode. Instead, it is pre-built in iPadOS.
  • 10.2-inches retina display is aided with 3.5 million pixels.
  • Multitasking is more comfortable than ever with screen dividing into multiple sections. The section which is not in use shuts most of its associated processes, thereby saving power.

Processing Power

While multitasking is significant with iPad customers, the speed of applications with streamlined transitions between apps is crucial. Thus, Apple retained A10 Fusion Chip from Sixth-generation iPad. This chip also powered iPhone 7 and iPhone 7 Plus.

The executives are certain that A10 Fusion provides a processing speed twice as fast as the best PC. This is significant because Apple aims at completely replacing PC by providing the same experience on an iPad. Independent observations also confirm A10 outperforming any PC with a considerable margin.

User Experience

Apple emphasized big time on enhancing user experience. Seventh-generation brings desktop computing experience without losing the sight of tablet portability. The recent updates in Safari for iPadOS are also aimed at providing desktop class browsing. These updates even allow website development and direct edits as highlighted by Greg Joswiak.

Notes app brings some substantial updates. You can use the Notes app in combination with another app with screen split to accommodate the two apps. The app is highly integrated with Apple Pencil to draw and take notes while watching a video or reading a document.

Compatibility with external Devices

iPad Air introduced in March this year brought a range of flexibilities regarding connections with the external devices. These flexibilities were largely absent in 6th and all other preceding generations.

Floating keyboard can be connected almost effortlessly since it is already configured via smart connector. Keyboard connection is one giant leap toward adopting desktop computing experience.

Arguably, the most remarkable feature of Seventh-generation iPad is the interface to connect USB thumb-drive and SD card. The much anticipated support for USB drives was also long awaited. Although it featured in iPad Pro as well, yet this is the first time when a non-pro version offered such option. In fact, the high price of iPad Pro was justified with its ability to connect USBs.

iPad 7 is all set to provide remarkable gaming experience by pairing PlayStation Controller with iPad 7 via Bluetooth.

Camera

Camera is not a primary component that drives sales when it comes to tablets. This is why Apple does not market iPads for the efficiency of cameras – though it maintains a decent level of quality barely provided by competitors.

Seventh-generation iPad incorporates 8MP rear camera with five element lens and 1.2MP front camera. All other features are retained from previous generation of iPad.

Apple Watch Series 5

Watch Series 5

The launch of next generation iPhones and iPads is also accompanied with the launch of Watch Series 5. Like its sister products, Series 5 also brings a range of new features. Following are the prominent attributes associated with Series 5.

    1. Always on retina display is at the forefront of this machine. None of the previous Apple watches featured this ability. According to Apple officials, the innovative hardware allows the battery of watch to last for 18-hours once fully charged despite the display that never sleeps. This modification in hardware is intended at energy efficiency.
    2. Now, Compass comes built-in with Series 5 like iPhone. Apart from sharing real-time location and current direction of face, the watch also shares latitude, longitude, and altitude. The compass also facilitates in identifying constellations.

Also read: Watch Series 5 Specs in a Nutshell

  1. Watch 5 enables you to dial SOS calls in over 150 countries by simply long-pressing the side button. The device also suggests you to call medical support if it detects fall. It is notable that this ability does not require presence of an iPhone around since watch is capable of independently performing entire activity.
  2. Since smart watches are frequently used to monitor health and fitness, Apple announced to perform three groundbreaking studies including heart and movement, hearing, and women health. Users can contribute by performing indicated activities during their health and fitness chores. Apple claims that app has the ability to hide contributors’ identity. Thus, the contributor will have the choice to remain anonymous. Moreover, users can view the progress in these studies via Research app available later this year.
  3. Like iPhone 11 and 7th gen iPad, Watch Series 5 also composed of 100% recycled aluminum. Besides a stainless steel variant, Watch 5 is the first amongst Apple watches, or for that matter smartwatches from any company, to offer titanium casing.

Apple claims that Watch 5 is water resistant to 50 meters to facilitate swimmers and scuba divers. Along with other attributes, this series is set to revolutionize the smart device industry.

Apple Arcade

Smartphone game owners for years have been looking for ways to increase earnings through their games. Previous updates of iOS introduced in-app video ads and multiple subscription models. Fortunately, Apple Arcade brings this subscription model which enables users to get hands on the some of the most attractive games.

Apple Arcade

Subscribing to Apple Arcade would enable iPhone and iPad users to enjoy a range of benefits – a selection of which is shared below.

  1. Arcade subscription lets you play games right from the app store rather needing to download it. This feature is remarkable as it prevents users’ time in downloading the app incase if they do not want to play this game anymore.
  2. Subscribers and non-subscribers can access a new tab on App Store where every new game added to Arcade is distinctly visible.
  3. Each subscriber gets personalized recommendations based on their interests and previous activity. Moreover, Arcade also provides access to expert editorials and trailers of upcoming games.

Apple Arcade would initially feature around 100 games from top studios including Konami, Capcom, and Annapurna among others. However, it is going to add thousands of games in a couple of years to provide variety to subscribers. Thus, this subscription service is a notable opportunity for entrepreneurs as well who are aiming to build a business model based on gaming apps.

Apple TV+

Apple is setting its ground for the first time in releasing the original content. In essence, the company is going to become a competitor of Netflix and other video on-demand service providers with its new Apple TV+ platform.

AppleTV+

Although TV+ was already announced in March Apple Event, yet this September event unveiled the trailers of the upcoming shows scheduled to start on November 01, 2019.

Users can access TV+ for a seven days free trial before subscribing for $4.99 per month. Moreover, the company also offers a year of free subscription with the purchase of new Apple products.

An Opportunity for Entrepreneurs

This new series of Apple products is pretty much a reflection of what Apple does the best. While the enthusiasts of Apple products are excited to get their feet wet into this sea of innovation, entrepreneurs have also gotten a huge opportunity to initiate and drive their businesses with attractive and addictive apps.

Mob Inspire is one of the pioneers in mobile app development. Our experts are building native apps for iOS as well as Android for over a decade. We would love to partner with you for the next viral app that runs riot at App Store and Google Play. Contact us today so that we can go further.

Backend as a Service

Backend as a Service Platform for Mobile and Web Apps

Did you develop a mobile app or planning to develop one but uncertain about its speed and peak load management? A considerable proportion of apps fail to make a mark due to inefficient development of custom backend. A poor backend is characterized by following disadvantages while building or maintaining the app:

  1. Poor loading time: An efficient backend should ensure that app does not take more than 6 seconds to load when opened for the first time. Moreover, 2 seconds is the standard time to load when opening as a returning user.
  2. Slower Development Speed: You can accelerate the process of mobile app development and ensure to build the app in markedly lower price. Custom apps take excessively more time.
  3. Expensive Development: The custom app development process would consume a significant amount of money up to the degree that your bank account might exhaust.
  4. Server Management: There will always be an overhead of maintaining in-house servers.
  5. Inability to Scale-up: You will have a hard time scaling up your business. Any effort toward scalability would most likely require additional hardware resources and expertise to maintain them.

How is Backend-as-a-Service Effective?

Instead of caring about the intricacies of backend development, you can attain backend-as-a-service (BaaS) platform. In essence, BaaS service provider would be responsible to ensure that the backend development of your app remains flawless, quick, and inexpensive.

Following are the ways demonstrating how backend-as-a-service platform serves you.

Database Management with MBaaS

Development of databases for custom apps is both expensive as well as time consuming. These apps are highly prone to security breaches because there is a high probability of loopholes creation during development.

Mobile backend-as-a-Service addresses this problem by offering a framework which has already been tested on scores apps. Thus, developers do not have to develop backend from scratch. Instead, they use APIs to connect data sources with app. The APIs are built in a way that they disallow possibilities of successful intrusion through backend.

Hosting and Storage

A successful development of custom apps does not complete the job as server configuration, app release planning, and a host of other tasks also remain. You would need to add users from backend each time a new database administrator moves in. Moreover, the integration of native services would also be an in-house task.

MBaaS enables you to have an effective content distribution network in place apart from a real-time cloud messaging system.

Mob Inspire provides managed multi-tenant as well as dedicated MBaaS solutions. We use public clouds from Amazon Web Services to offer either of these solutions. Besides, you do not need to upload an entirely new app to provide users with a new functionality. Instead, you can update the app using remote config feature.

Scalability and Accessibility

BaaS uses centralized cloud-based architecture. The flexibility of this architecture enables you to easily scale the business as required. Your company would be generating more data and holding greater digital assets in future. Thus, it would require more space on servers.

BaaS frees you from scale-up overheads. Your backend service provider would be responsible for keeping a seamless backend of your app.

Notifications with Mobile Backend as a Service

Working with custom apps requires hosting of a dedicated server for push notifications. MBaaS allows setting up instant notifications for the users of your mobile app. The users would receive same set of messages since there would be a common underlying cloud.

Every app that uses instant notifications has same set of use cases. However, the backend approach may differ between them. MBaaS allows you to use one code for each of your apps where messaging or notification feature is required. Since the frontend would vary, the appearance of each app would still be different from other despite using same backend approach.

Also read: 5 Core Stages of User Experience Design Process

In-app Features Integration

You can tell apart an efficient BaaS from the otherwise with their ability to integrate in-app features. Mob Inspire MBaaS enables you to define access hierarchy and personalization of apps for each user with distinct profiles.

An effective MBaaS would offer dashboards with insightful charts and graphs. These statistics share performance insight of apps including the factors which cause drawbacks. They allow you to decide if the apps are sufficiently fast and secure or not. However, it is advisable to occasionally have an independent audit of apps as well.

Moreover, Backend-as-a-Service should also allow comfortable integration with third-party tools. For instance, you might be using a third party tool for in-house resource management. The app should be able to integrate these tools seamlessly.

Also read: MBaaS Product Research in Software Industry

MBaaS Providers Facilitate Development

It is notable that mobile Backend-as-a-service should enable you to develop apps for various operating systems and the behavior on each OS remains flawless.

Mob Inspire uses REDIS as a replacement of traditional Memcached as a memory caching system. REDIS does not only serve as cache but as in-memory data structure and a database as well. You can have the abilities of automatic partitioning and high availability with REDIS Sentinel and REDIS Clustering.

The use of Loopback – a Node.js framework – enables developers to connect nodes comfortably with socket.IO. The API ensures high speeds during immense loads on servers. Besides, it also reduces the amount of efforts and time consumption in development.

Also read: How to Choose an App Development Company

Leverage the Best Mobile Backend as a Service Platform

In a Nutshell, MBaaS eliminates the repetitive tasks of developing APIs for signups, instant notification, file uploading, integration with social media channels, and geolocation besides a host of other features. Using MBaaS, developers use pre-built APIs for each of these features because their development remains identical regardless of the use cases or scope of app.

Mob Inspire is serving as one of the best MBaaS providers for years enabling the mobile app development industry to attain stability.

Our experts do not only assist you in using the Backend-as-a-Service platform for app development but also in adoption of cloud-optimized storage and virtual cores.

We would love to work with you on another challenging and exciting project. Contact us today so that our experts can take you further.

appointment booking software

What Makes Appointment Booking Software Effective?

The process of scheduling the meetings, examinations, medical tests, and other healthcare practices is around for centuries. Now, digital technologies are facilitating this process by eliminating the wait time and ensuring that patients reach the most specialized practitioners. Appointment booking software systems are at the forefront of this transformation.

This article mentions some of the most noteworthy use cases of such software systems. Moreover, it also shares the essential components of such platforms.

Use Cases of Medical Appointment Booking Software

Appointment scheduling is not only confined to booking a meeting with physician. Following are some of the notable use cases of these systems.

Physician On-demand Booking Platform

You can either schedule an in-person or remote meeting with healthcare practitioners using the on-demand services model. Apart from physicians, these may also be surgeons, pharmacist, or another subject specialist.

There are further variants for in-person meetings. A patient can seek services of doctors at home or at clinics. Either way, the platform ensures that the specialist remains available and serves patients at the scheduled time.

Zocdoc is one of the finest examples. This facility connects patients with service providers including independent practitioners and partnered clinics.

Ambulance Service Scheduling Software

Although ambulance booking is not a new concept, yet it is essential to mention for the sake of comprehensiveness. The aim of appointment booking platform is to provide a range of healthcare services through smartphone app. Thus, the ability to schedule an ambulance or a paratransit vehicle through this platform is vital.

If you intend to introduce on-demand ambulance service, Flare serves as a decent role model. This startup aggregates various ambulance service providers and dispatches the most suitable vehicle depending on the requested type and distance from patient.

Medicine Delivery Job Scheduling Software

Getting a prescribed drug delivered at your doorstep is no less vital. A patient should be able to share the prescription with your on-demand pharmacy. One of your agents deliver the medicine at the indicated location and the patient can pay the delivery charges via credit card or through an in-app e-wallet.

Numerous startups have emerged with this business model. Capsule is notable in New York City. This startup with a total funding amount of $70m to date delivers drugs within two hours. ScriptDash is another notable startup powered by Alto with an impressive Serie C funding of $55m.

Nurse At-home Scheduling

There is little or no doubt in the fact that US population is aging. Consequently, the need for at-home nursing agents is rising. Besides, families are inclining toward keeping nannies for childcare. Thus, scheduling nursing services should also be an option in appointment booking platform.

Besides these use cases, there is a wide range of applications for such platforms. Businesses can enhance their services by facilitating customers with immaculately designed and developed scheduling software.

Also Read: A Guide to Enterprise and Consumer App Development

Components of Appointment Booking Platform

Telephone calls served as the top medium for booking appointments. Websites replaced phone calls and remained the primary booking source until recent past. The contemporary era of smartphones demands mobile apps as the medium for appointment scheduling.

A comprehensive appointment booking software should have following components.

App for Patients

Patients or their guardians should be able to schedule an app via their smartphones. The app should be simple enough to allow the least literate individuals to schedule appointment without needing to have any technical understanding.

Personalization in booking platforms is vital. It is achieved by providing unique profiles for each patient so that they can instantly retrieve medical history or EHR.

Developing a dedicated appointment scheduling platform for a business is one case but many startups serve as a gateway between customers and a range of healthcare providers. In this latter case, the patient should be able to search and select the provider of their choice.

Also Read: Blockchain Technology in Healthcare

Moreover, the platform can also suggest the most relevant providers depending on the specialization that a patient intends to seek.

Many healthcare providers collaborate with on-demand scheduling startups to appear at the top of search results. The startups earn monetary commission in return.

Administration Panel

This software serves as the middleman between patients and service agents. It also validates each request for appointment and confirms its schedule.

An admin panel should have an extensive dashboard with scheduled appointments. It should show the pending requests besides in-progress and past ones.

It is notable that the process of scheduling should not require phone call or in-person meeting. Instead, patients should be able to book any available timeslot from an in-app calendar. As a consequence, the admin can verify the appointment by connecting the request with most relevant healthcare practitioner.

Also Read: Robotic Process Automation in Healthcare Industry

The panel should also feature interactive charts and graphs depicting performance of business. Some of the key performance indicators include: difference in the number of bookings from previous week, month, and quarter; number of new visitors; percentage increase in the number of positive reviews.

App for Service Agents

Service agent apps are only required when you are providing on-demand medical services through independent gig workers. Otherwise, administration panel with an app for patients should be sufficient if you are scheduling for an in-house team of practitioners.

The admin panel also serves as dispatch panel to connect the suitable healthcare service providers with patients. It is notable that the entire scheduling process should be automated. Patients choose the timeslot of their choice. The admin panel software confirms the request and dispatches the relevant practitioner by considering the availability of providers.

The app should allow independent practitioners to reveal their flexible work hours. It should also empower practitioners to confirm or decline a scheduled service.

This appointment booking platform comprising apps for patients and practitioners along with an admin panel should be interactive. In essence, the practitioners should be able to access EHR of patients as soon as they confirm appointment request. Besides, it is also advisable to keep the platform cloud-based so that it scalability is easier.

Get Your Online Appointment Booking Software Today

Mob Inspire is working with some of the top healthcare businesses for over a decade. Our experts build and maintain software systems which ensure business growth with cost and time optimization and enhanced user satisfaction.
We would love to serve you as a technology provider. Contact us today so that we can collaborate and grow together.

Telemedicine platform

Telemedicine Platform – Use Cases and Challenges

Healthcare sector is one of the most crucial stakeholders of research and development in software industry. Apart from IoT based machines connected with smart devices, Artificial Intelligence, Big Data, Blockchain, and Robotic Process Automation are also enabling significant improvements in this sector. One highly rated business model is that of a telemedicine platform.

Many telemedicine startups have emerged in the ongoing decade. The regulators are also developing regulatory framework for mainstreaming of telemedicine service providers. This article shares some of the most noteworthy use cases of telemedicine, the challenges posed to it and their solutions.

Notable Use Cases of Telemedicine Platform

The introduction of telemedicine software platforms was aimed at facilitating the patients and their guardians at the places of their choice. However, more use cases started to emerge with time. Some of the most notable applications of telemedicine platform are shared below.

Remote Patient Examination

Carrying an ailing patient to hospital for routine check-ups is one of the most debatable topics. At one end, healthcare practitioners discourage frequent traveling whereas, on the other end, they push for regular examination. Traveling causes fatigue and may exacerbate health conditions especially amongst patients with chronic diseases and those aged above 70 years.

Also read: Robotic Process Automation in Healthcare Industry

Telemedicine platform enables patients to access medical services without moving out of their homes. A doctor can examine patient via video call or may travel to patient’s home. The latter model, called on-demand healthcare services, is gaining incredible momentum in the industry.

One does not necessarily have to be a patient or a guardian to use telemedicine apps. These apps can serve as awareness and education platforms to familiarize users about prevention, cure, and symptoms of diseases.

Intelligent Prescription

The research and development in big data and AI allowed innovators to capacitate software systems in automatic medicine prescription. The systems are trained on case studies from hundreds of thousands of patients so that correctly predict the disease or illness depending on the symptoms and suggest the most suitable prescription.

This smart prescription model demonstrates remarkable results as the AI outsmarts human experts in disease prediction efficiency. Despite this impressive outcome, intelligent prescription for the most part is still in its testing stages. Nevertheless, regulators allow using such telemedicine software systems for prescription in situations which are considerably less likely to become life threatening.

Translation for Non-Native Residents

A considerably large number of Americans are unable to speak English and Spanish correctly. This limitation often leads to a communication gap between healthcare practitioner and patient/guardian. Moreover, most of the clinics do not have Spanish speakers adding to the woes of 41 million native Spanish speakers who are not bilingual.

Many top service providers of telemedicine software platforms ensure that their system performs real-time translation to enable seamless communication between patients and physicians. This activity is relatively easier when communication happens remotely.

Earlier, analysts believed that automated translation using AI was ineffective because it often changed the context of speakers’ point. However, the advancement in natural language processing (NLP) is resulting in maturity of virtual assistants up to a remarkable degree. The NLP for telemedicine app is capable of not only translating the words but also understanding the tone and expressions to differentiate literal meanings from wit, metaphor, and sarcasm.

Medicine Delivery from Chosen Pharmacy

Telemedicine software platforms are not only capable of prescribing medicine but delivering them on-demand as well. A consumer can place order for the prescribed drug from the store of their choice. Top mHealth systems also inform about the store where patients can find prescribed medicine. This is particularly important in case of rarely available drugs.

Some service providers use drug store suggestions as a way to earn revenue. They suggest a store in return of monetary benefits from store owners. There are medicine delivery app startups which serve as gateways between customers and pharmacies. For instance, Eaze is a startup which delivers cannabis to customers from the store of their choice.

It is notable that telemedicine app should remain a single stop shop to acquire each of the services including physician on-demand, intelligent prescription, translation for comfortable communication, and medicine delivery. This ability would prevent users from using multiple software systems for healthcare. You may also choose to offer a set of these features.

Telerehab with Telemedicine Software

In the contemporary highly busy routines of Americans, it is intensely challenging to spare time for mental health. Anxiety disorders alone make the most prevalent illness in the US with 18.1% population suffering from it. Anxiety and Depression Association of America reveals that these mental conditions are curable regardless of their intensity.

However, only a small proportion of people seek services of psychiatrist or rehab center. The primary reason is the lack of time and excessive costs. The introduction of telemedicine app platforms is enabling patients to get treatment in the comforts of their homes. As a result, the annual number of individuals seeking rehab services is gradually increasing.

Also read: Recommendation of Successful App Development Outsourcing

This incline is going to take pace as the patients get aware of such platforms. Thus, entrepreneurs have a huge business opportunity which can also serve as social responsibility fulfillment cause.

Addressing the Challenges

Although startups and established healthcare providers are rapidly adopting telemedicine software systems, yet it is not free of challenges. Fortunately, the advancements in technologies are enabling providers to address challenges in both traditional and telemedicine based services. Following are some of the notable developments.

  1. Healthcare providers were reluctant to incorporate such services up to few years back because of insufficient internet and video quality. Besides, the cost and time consumed for physician to travel to patient’s site were excessively high. Nevertheless, the successful expansion of on-demand ride-hailing services like Uber and Lyft enabled providers to adopt this model.
  2. Telemedicine is not only a startup job anymore. Tech giants are making ways into mHealth and telemedicine because these models carry potential to become one of the biggest impressions in healthcare industry. Apple Inc. is collaborating with American Well, a notable telemedicine startup, to market this model up to the extent that it requires.
  3. One of the top challenges posed to traditional healthcare practices was the lack of specialist physicians in remote regions. Telehealth is undoubtedly a significant alternative.

Mob Inspire is among the leaders in developing software systems for healthcare industry. In a period of working for a decade, our experts developed systems powered by AI, RPA, AR and VR, big data, Blockchain, and cloud computing.

We would love to work you for the development of your telemedicine platform. Contact us today.