Top Five Strategic Technology Trends For 2019

Blockchain, empowered edge, artificial intelligence, privacy and ethics, quantum computing, immersive experiences, augmented analytics, autonomous things and digital twins drive the top Strategic Technology Trends for 2019.

According to Gartner Inc., a particular technology trend is one with real disruptive potential on the cusp of breaking out of an emerging state into broader impact and use. It also relates to those rapidly growing trends with a high degree of volatility reaching tipping points over the next five years.

The interlinking of people, devices, content, and services as “The Intelligent Digital MeshStrategic technology trends are created by digital models, business platforms and a set of services that support digital business.

  • Intelligent refers to AI that can allow more powerful, adaptable and potentially independent systems.
  • Digital technology provides a mix of the virtual and real worlds to create an immersive digitally enhanced and relaxed environment.
  • Mesh indicates the connections between an expanding set of people, business, devices, content, and services to address digital consequences.

The Intelligent Digital Mesh has been a compatible theme for the past two years and remains as an initial success through 2019. Strategic technology trends are a vital component in driving a continuous innovation process as part of a Continuous NEXT strategy.

For example, artificial intelligence (AI) in the form of mechanical things and expanded information is being used together with the Internet of Things (IoT), edge computing and digital twins to deliver highly integrated smart spaces. This combinatorial effect of multiple trends combined to produce new opportunities and drive further disruption is a hallmark of the for 2019.

Below are the top five strategic technology trends for 2019:

1. Autonomous Things:

Imagine robots, vehicles, and drones, and then think AI and automation. Mechanization now goes ahead programming patterns; AI can deliver behaviors to automate functions earlier conducted by humans.

As autonomous things usage increases, it leads to a shift from stand-alone intelligent systems to connected smart things, with multiple devices working collaboratively, either with or without human interference.

2. Augmented Analytics

Augmented analytics relates to augmented intelligence, which focuses on AI’s assistive potential and aims to enhance augmented human analytics related to augmented intelligence, which focuses on AI’s assistance potential and seeks to improve human knowledge instead of replacing it.

Augmented analytics’ capabilities will advance rapidly to mainstream adoption, as a critical feature of data preparation, data management, modern analytics, business process management, process mining, and data science platforms. This shift is due, in part, to machine learning (ML), which will transform how analytics content is developed, consumed and shared.

Increased analytics automates the process of data preparation, insight generation, and insight visualization, eliminating the need for professional data scientists in many situations.

No matter how much a business combines emerging technology into their systems, the human element will remain fundamental. Cearley has the view that this would lead to citizen data science, an emerging set of capabilities and practices that enables users whose primary job is outside the field of statistics and analytics to extract predictive and prescriptive insights from data.

In 2020, the number of citizen data scientists will grow five times faster than the number of expert data scientists. Organizations can use citizen data scientists to fill the data science and machine learning talent gap caused by the shortage and high cost of data scientists.

3. AI-Driven Development

Eventually, highly advanced AI-powered development environments are automating both functional and non-functional features of applications that will give a lift to a new age of the ‘citizen application developer’ where non-professionals will be able to use AI-driven tools to make new solutions automatically. Research says by 2022, at least 40% of new application development plans will have AI co-developers on their team.

4. Digital Twins

A digital twin is a digital image of real-world items that are connected. According to Cearley, we can have digital twins of people, processes, and things. Many manufacturers in various sectors are already using the concept of the digital twin to monitor real-world assets and drive significant savings in maintenance, repair, and operations.

One aspect of the digital twin evolution that moves beyond IoT would be enterprises implementing Digital Twins of their Organizations (DTOs). A DTO is a dynamic software model that relies on operational or other data to understand how an organization operationalizes its business model, connects with its current state, uses resources and responds to changes to deliver expected customer value. DTOs help drive effectiveness in business processes, as well as create more flexible, dynamic and responsive means that can likely react to changing conditions automatically.

5. Immersive Experience

Generation of virtual reality (VR), augmented reality (AR) and mixed reality (MR) are bringing changes in the way of doing businesses. Take the example of remote assistance; companies are using them in many instances, such as, to have an expert engineer work with somebody in a distant factory to get a piece of equipment back online.

Over time, we would shift from thinking about individual devices and fragmented user interface technologies to a multichannel and multimodal practice.

The multimodal technology will connect people with the digital world over a large number of edge devices that surround them, including traditional computing devices, wearables, automobiles, environmental sensors, and consumer appliances. The multichannel experience will use all human sensations and advanced computer senses (such as heat, humidity, and radar) across these multimodal devices.