Trends Identified
Digital Twins
A digital twin is a digital representation of a real-world entity or system (see Figure 5). The implementation of a digital twin is an encapsulated software object or model that mirrors a unique physical object (see Note 1). Data from multiple digital twins can be aggregated for a composite view across a number of real-world entities. The notion of a digital representation of real-world entities or systems is not new. You can argue that this was a central notion in the IT industry with the creation of computer-aided design representations of physical assets or profiles of individual customers. The difference in the latest iteration of digital twins is: The robustness of the models
Digital twins' link to the real world, potentially in real time
The application of advanced big data analytics and AI
The ability to interact with them and evaluate "what if" scenarios
2017
Top 10 Strategic Technology Trends for 2018
Gartner
Cloud to the Edge
Edge computing describes a computing topology in which information processing and content collection and delivery are placed closer to the sources and sinks of this information. Edge computing draws from the concepts of mesh networking and distributed processing. It tries to keep the traffic and processing local, with the goal being to reduce traffic and latency. As such, the notion of edge content delivery has existed for many years. The "where to process the data" pendulum has swung between highly centralized approaches (such as a mainframe or a centralized cloud service) and more decentralized approaches (such as PCs and mobile devices). Connectivity and latency challenges, bandwidth constraints and greater functionality embedded at the edge favor distributed deployment models. The advantages of processing power and low costs of operating at hyperscale, coupled with the complexity of managing and coordinating thousands of geographically separated endpoints, favor the centralized model.
2017
Top 10 Strategic Technology Trends for 2018
Gartner
Conversational Platforms
Conversational platforms will drive the next big paradigm shift in how humans interact with the digital world. They will shift the model from technology-literate people to people-literate technology. The burden of translating intent will move from the user to the computer. The system takes a question or command from the user in natural language. It responds by executing a function, presenting content or asking for additional input.
2017
Top 10 Strategic Technology Trends for 2018
Gartner
Immersive Experience
While 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 perception and interaction models leads to the future immersive user experience.
2017
Top 10 Strategic Technology Trends for 2018
Gartner
Blockchain
Blockchain is evolving from a digital currency infrastructure into a platform for digital transformation. Blockchain and other distributed-ledger technologies provide trust in untrusted environments, eliminating the need for a trusted central authority.
2017
Top 10 Strategic Technology Trends for 2018
Gartner
Event-Driven Model
Business is always sensing, and ready to exploit, new digital business moments (see "Business Events, Business Moments and Event Thinking in Digital Business" (/doc/code/338380?ref=ddisp) ). This is central to digital business. Business events reflect the discovery of notable states or state changes, such as the completion of a purchase order. Some business events, or combinations of events, constitute business moments — detected situations that call for specific business actions. The most significant business moments have implications for multiple parties (for example, separate applications, lines of business or partners).
2017
Top 10 Strategic Technology Trends for 2018
Gartner
Continuous Adaptive Risk and Trust
The intelligent digital mesh and related digital technology platforms and application architectures create an ever-more-complex world for security. 20 The continuing evolution of the "hacker industry" and its use of increasingly sophisticated tools — including the same advanced technologies available to enterprises — significantly raise the threat potential. Relying on perimeter defense and static rule-based security is inadequate and outdated. This is especially so as organizations exploit more mobile devices, cloud-based services, and open APIs for customers and partners to create business ecosystems.
2017
Top 10 Strategic Technology Trends for 2018
Gartner
Machine learning
“Machine learning has the potential to be one of the biggest disruptors over the next decade,” says DeLaney.
2017
5 big disruptive trends investors should watch
Morgan Stanley
Autonomous vehicles
Autonomous driving will be facilitated by the data-processing capabilities of machine learning, but its disruption capabilities are so widespread that Delaney considers it a separate category.
2017
5 big disruptive trends investors should watch
Morgan Stanley
Augmented reality
We can see this being useful in education and training because it basically overlays virtual images onto reality.” Augmented Reality (AR) can simulate real-world scenarios. “That allows orientations or training to take place in a safe environment vs. a real-world environment that can be more dangerous. Surgeons will be able to practice complex procedures before operating on patients, for instance.” AR might also have entertainment value, by enabling consumers to enjoy unique experiences like sitting on the field at a sporting event or traveling to exotic locations.
2017
5 big disruptive trends investors should watch
Morgan Stanley