- Posted March 29, 2017
- Tag: Artificial intelligence, Gartner, Technology Trends
Trend No. 1: AI & Advanced Machine Learning
and machine learning (ML), which include technologies such as deep
learning, neural networks and natural-language processing, can also
encompass more advanced systems that understand, learn, predict, adapt
and potentially operate autonomously. Systems can learn and change
future behavior, leading to the creation of more intelligent devices and
Trend No. 2: Intelligent Apps
apps, which include technologies like virtual personal assistants
(VPAs), have the potential to transform the workplace by making everyday
tasks easier (prioritizing emails) and its users more effective.
Trend No. 3: Intelligent Things
intelligent things generally fall into three categories: robots, drones
and autonomous vehicles. Each of these areas will evolve to impact a
larger segment of the market and support a new phase of digital business
but these represent only one facet of intelligent things.
Trend No. 4: Virtual & Augmented Reality
reality (VR) and augmented reality (AR) transform the way individuals
interact with each other and with software systems creating an immersive
environment. For example, VR can be used for training scenarios and
Trend No. 5: Digital Twin
three to five years, billions of things will be represented by digital
twins, a dynamic software model of a physical thing or system. Using
physics data on how the components of a thing operate and respond to the
environment as well as data provided by sensors in the physical world, a
digital twin can be used to analyze and simulate real world conditions,
responds to changes, improve operations and add value.
Trend No. 6: Blockchain
is a type of distributed ledger in which value exchange transactions
(in bitcoin or other token) are sequentially grouped into blocks.
Blockchain and distributed-ledger concepts are gaining traction because
they hold the promise of transforming industry operating models in
Trend No. 7: Conversational Systems
systems can range from simple informal, bidirectional text or voice
conversations such as an answer to “What time is it?” to more complex
interactions such as collecting oral testimony from crime witnesses to
generate a sketch of a suspect.
Trend No. 8: Mesh App and Service Architecture
intelligent digital mesh will require changes to the architecture,
technology and tools used to develop solutions. The mesh app and service
architecture (MASA) is a multichannel solution architecture that
leverages cloud and serverless computing, containers and microservices
as well as APIs and events to deliver modular, flexible and dynamic
Trend No. 9: Digital Technology Platforms
technology platforms are the building blocks for a digital business and
are necessary to break into digital. Every organization will have some
mix of five digital technology platforms: Information systems, customer
experience, analytics and intelligence, the Internet of Things and
business ecosystems. In particular new platforms and services for IoT,
AI and conversational systems will be a key focus through 2020.
Trend No. 10: Adaptive Security Architecture
evolution of the intelligent digital mesh and digital technology
platforms and application architectures means that security has to
become fluid and adaptive. Security in the IoT environment is
particularly challenging. Security teams need to work with application,
solution and enterprise architects to consider security early in the
design of applications or IoT solutions.