Let’s have a look at 10 predictions that Gartner did at Symposium ITXpo that will change the IT.
(1)Intelligent Apps:
Maximum time, machine learning and AI will to be directed at humans. Some systems will use their intelligence to interact with other systems. But plenty of machine intelligence will be employed in intelligent apps that increase human intelligence in different ways. From personal virtual assistants like Siri and Alexa to calendars that figure out what you need to know about the other attendees in your next meeting, the apps you use are going to be increasingly intelligent in the coming years.
(2)AI And Advanced Machine Learning:
Though these are not new technologies to go making hassle about but what came as a an interesting surprise as at the Gartner Symposium where people were seen to accept AI as a dominating factor in almost every device that will be created in the coming decade — and the degree to which they assume that machine learning will be a key method for systems to build knowledge bases.
(3)Virtual and Enlarged Reality:
If you want to find people using Oculus Rift headsets, you might avoid game gatherings in favor of big data conferences. Virtual reality is being explored by companies looking for better big data analysis, while augmented reality is already being used in industrial applications. Both virtual and augmented reality is part of the push to make the experience of interacting with computer systems more absorbed and more readily understandable in complex situations.
(4)Intelligent Things:
From industrial equipment to vehicles to light bulbs, the physical things that make up our environment are becoming more intelligent. Some of that intelligence will be used to improve the experience humans have in relating to the items, but some will be used for these smart things to communicate and coordinate with other intelligent things. One of the important pieces of this trend as described by Gartner is the increase in intelligent network applications as the intelligent things form intelligent networks and intelligent ecosystems.
(5)Blockchain and Distributed Ledgers:
When trust is crowd-sourced and widely distributed, it can change the face of the financial system. Blockchain is in the early days of transforming financial encounters, but some analysts are already looking ahead to a time when blockchain’s crowd-sourced trust is used to transform other activities from economic prediction to computer security.
(6)Digital Twin:
A static model won’t work to accurately represent a dynamic system. Dynamic models that can respond to environmental changes in real-time form digital twins that can be used to predict maintenance windows, anomalous behavior, and manufacturing efficiencies. Artificial Intelligence systems will use digital twins informed by machine learning as critical components in systems that augment human decisions and improve human processes.
(7)Conversational Systems:
It’s not only that a growing number of people are using speech as a primary means of interacting with their computers. It’s also that the computer systems are using tools like chatbots to initiate the conversational interaction with humans. It’s unlikely that speech will completely replace keyboards and typing for all computer interaction. However, many users will find most of their computer work transacted by voice in the near future.
(8)Digital Technology Platforms:
In the keynote address at the Gartner Symposium ITxpo 2016 the research firm identified five platforms on which the digital business rests. Those platforms are: information systems, customer experience, analytics and intelligence, the IoT, and business ecosystems. These form both the foundation upon which the IT function rests and the building blocks of the IT infrastructure.
(9)Adaptive Security Architecture:
Ready for some more non-news? IT security is becoming more complex. Hackers are getting better, and the stakes are getting higher. If your organization is going to have a chance of keeping up, it’s going to have to produce and employ security systems that adapt to new threats at machine speed. Humans, for all our virtues, are simply not fast enough to keep up. We can be creative, but it’s time to let the computers take care of themselves.
(10)Mesh App and Service Architecture:
Applications rarely exist in isolation any more. Instead, the mesh app and service architecture (MASA), in which an array of end-use apps making use of a constellation of back-end applications and services, is becoming the norm. In this model, connections are as important as elemental functionality, and data-sharing is as important as data processing.
