Top 10 Strategic Technology Trends for 2020 – Interesting Engineering

Industry analyst Gartner has identified the most relevant strategic technology trends that CIOs and IT executives should know about for 2020.
New and emerging technologies have the capacity to change our lives. If they are used correctly, they can improve the way we live, work, and do business. If misused, they can create problems ranging from a small disturbance caused by automated software to a large scale security breach.
Rapid developments and adoption of these technologies in the enterprise are contributing to the digital transformation that slowly started some years ago. And so, year after year industry analysts identify the technology trends that will shape and disrupt businesses in the next few years.
According to industry analyst, research and consulting firm Gartner, a strategic technology trend has the potential for substantial disruption. A strategic technology trend is one that is beginning to break out of an emerging state into a broader impact and use. It can also be one that is rapidly growing with a high degree of volatility reaching tipping points over the next five years. Gartner has identified the following Strategic Technology Trends for 2020 (the full report can be downloaded here). Analysts presented the findings at the annual Gartner’s IT Symposium and Xpo.
Gartner’s Strategic Technology Trends for 2020 are organized into two categories: People-Centric and Smart Spaces. This is mainly to convey where the primary impact and manifestation of the trend will be happening. However, Gartner says in the report that virtually all of the trends will have an impact on both the people and smart spaces concepts.
Gartner defines Hyperautomation as the combination of multiple Machine Learning (ML), packaged software, and automation tools to deliver work. Hyperautomation refers not only to the breadth of the pallet of tools, but also to all the steps of automation itself: Discover, analyze, design, automate, measure, monitor, and reassess. CIOs must understand the range of automation mechanisms, how they relate to one another, and how they can be combined and coordinated to get a full picture of what the major focus for hyperautomation is.
This trend was kicked off a few years ago with Robotic Process Automation (RPA). However, Gartner says that RPA alone is not hyperautomation. Instead, Hyperautomation requires a combination of tools to help support replicating pieces of where the human is involved in a task. 
Gartner expects that through 2028, the user experience will undergo a significant shift in how users perceive the digital world as well as how they interact with it. Conversational platforms are changing the way in which people interact with the digital world. Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) are changing the way in which people perceive the digital world.
This combined shift in both perception and interaction models leads to the future multisensory and multimodal experience, something we will see more often starting in 2020 across many industries. According to Brian Burke, Research Vice President at Gartner, the model will shift from one of technology-literate people to one of people-literate technology. The burden of translating intent will move from the user to the computer. “This ability to communicate with users across many human senses will provide a richer environment for delivering nuanced information,” he said.
According to the report, Democratization is focused on providing people with access to technical expertise such as Machine Learning or application development, or business domain expertise such as sales process or economic analysis via a radically simplified experience and without requiring extensive and costly training. Citizen access such as citizen data scientists and citizen integrators as well as the evolution of citizen development and no-code models are good examples of democratization. Throughout 2023, Gartner expects four key aspects of the democratization trend to accelerate, including:
Democratization of data and analytics tools: Those targeting data scientists expanding to target the professional developer community
Democratization of development: Such as AI tools to leverage in custom-developed applications
Democratization of design: For expanding on the low-code, no-code phenomena with automation of additional application development functions to empower the citizen-developer
Democratization of knowledge: Such as non-IT professionals gaining access to tools and expert systems that empower them to exploit and apply specialized skills beyond their own expertise and training.
Human augmentation is a much wider topic than what many people think. According to Gartner, it explores how technology can be used to deliver cognitive and physical improvements as an integral part of the human experience. Human augmentation enhances humans in two main ways: Physical or Cognitive. It can be physical, by changing their inherent physical capabilities by implanting or hosting a technology element on their bodies, such as a wearable device. But also, cognitive augmentation can occur through accessing information and exploiting applications on traditional computer systems and the emerging multi-experience interface in smart spaces.
Gartner anticipates that over the next 10 years, increasing levels of physical and cognitive human augmentation will become more prevalent as individuals seek personal enhancements raising the number of biohackers and bodyhackers globally. This will create what Gartner calls “a new consumerization effect,” where employees seek to exploit their personal enhancements — and even extend them — to improve their office environment as a whole.
Consumers who are increasingly aware that their personal information is valuable, are demanding control. Analysts report how organizations recognize the increasing risk of securing and managing personal data, and governments are implementing strict legislation to ensure they do. Both transparency and traceability are critical elements to support these digital ethics and privacy needs. According to Gartner, transparency and traceability refer to a range of attitudes, actions, and supporting technologies and practices designed to address regulatory requirements, preserve an ethical approach to use Artificial Intelligence (AI) and other advanced technologies, and repair the growing lack of trust in companies. Gartner advises organizations to focus on three areas:
Artificial Intelligence and Machine Learning
Personal data privacy, ownership, and control
Ethically aligned design
According to Gartner, Edge Computing is a computing topology in which information processing, content collection, and delivery are placed closer to the sources, repositories, and consumers of this information. Edge Computing tries to keep the traffic and processing local to reduce latency, exploit the capabilities of the edge and enable greater autonomy at the edge. According to Brian Burke, much of the current focus on edge computing comes from the need for IoT systems to deliver disconnected or distributed capabilities into the embedded IoT world for specific industries such as manufacturing or retail. “However, edge computing will become a dominant factor across virtually all industries and use cases as the edge is empowered with increasingly more sophisticated and specialized compute resources and more data storage. Complex edge devices, including robots, drones, autonomous vehicles, and operational systems will accelerate this shift,” he said.   
The cloud expands its territory and becomes a distributed cloud, which is the distribution of public cloud services to different locations while the originating public cloud provider assumes responsibility for the operation, governance, updates to and evolution of the services. According to Gartner, this represents a significant shift from the centralized model of most public cloud services and will lead to a new era in cloud computing. 
Gartner’s report describes Autonomous Things as physical devices that use Artificial Intelligence (AI) to automate functions previously performed by humans. The most recognizable current forms of autonomous things are robots, drones, autonomous vehicles/ships, and appliances. The automation of these things goes beyond the automation provided by rigid programming models, and they exploit AI to deliver advanced behaviors that interact more naturally with their surroundings and with people.
As the technology capability improves, regulation permits, and also social acceptance grows, autonomous things will increasingly be deployed in uncontrolled public spaces. According to Brian Burke, as autonomous things proliferate, there is an expected shift from stand-alone intelligent things to a swarm of collaborative intelligent things where multiple devices will work together, either independently from people or with human input. “For example, heterogeneous robots can operate in a coordinated assembly process. In the delivery market, the most effective solution may be to use an autonomous vehicle to move packages to the target area. Robots and drones aboard the vehicle could then affect the final delivery of the package,” he says. 
According to Gartner, Blockchain has the potential to reshape industries by enabling trust, providing transparency, and enabling value exchange across business ecosystems, potentially lowering costs, reducing transaction settlement times, and improving cash flow. CIOs will see that assets can be traced to their origin, significantly reducing the opportunities for substitutions with counterfeit goods. This will contribute to a more transparent supply chain. Asset tracking also has value in other areas, such as tracing food across a supply chain to more easily identify the origin of contamination, or track individual parts to assist in product recalls.
The report notes that another area in which blockchain has potential is identity management. Smart contracts can be programmed into the blockchain where events can trigger actions; for example, payment is released when goods are received. However, Gartner’s Brian Burke says that blockchain remains immature for enterprise deployments due to a range of technical issues including poor scalability and interoperability. “Despite these challenges, the significant potential for disruption and revenue generation means organizations should begin evaluating blockchain, even if they don’t anticipate aggressive adoption of the technologies in the near term,” he says. 
A rather obvious trend for 2020 sees Artificial Intelligence and Machine Learning continuing to be applied in order to augment human decision making across a broad set of use cases. According to Gartner, while this creates great opportunities to enable hyperautomation and leverage autonomous things to deliver business transformation, it also creates significant new challenges for the CISO, the security team, and risk leaders with a massive increase in potential points of attack with IoT, cloud computing, microservices, and highly connected systems in smart spaces. Therefore, analysts advise that Security and Risk leaders should focus on the following three key areas:
Protecting AI-powered systems
Leveraging AI to enhance security defense
Anticipating nefarious use of AI by attackers  
As far as we can see, the new year anticipates great opportunities as well as great challenges for CIOs and their teams. Yet, it is paramount to always remember that embracing change and adopting new technologies and trends will guarantee that your enterprise remains active and competitive on the market. Resisting change will only set your company a few but important steps behind. Leaders in enterprise digital transformation will continue to evolve with those who are brave enough to jump into what the future will bring. Gartner’s full report, Strategic Technology Trends for 2020, can be downloaded (registration required) here.
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