FUTURE TECHNOLOGY TRENDS TO LOOK FOR (Part-2)

In the 1st article I have detailed out of few future trends will is going to evolve and in this article I have detailed on the further few technologies. Evolution is trending and new techniques are scoping up giving more hopes for futuristic trends.

Virtual and augmented reality

Virtual, augmented and mixed reality technologies are on pace to be a $150 billion market by 2020

Since Google launched Google Glass in 2013 and Facebook acquired Oculus Rift for $2 billion in 2014, virtual reality and augmented reality have received tremendous global attention.

The future of augmented reality looked even more exciting when Microsoft unveiled HoloLens, based on a concept called mixed reality.

The VR and AR industry has attracted an investment of about $4 billion, with over half of that investment in just the last two years. Everyone from Facebook to Sony to Nokia is trying to get a slice of the VR pie.

International Data Corporation, worldwide revenues for the augmented reality and virtual reality (AR/VR) market will grow from $5.2 billion in 2016 to more than $162 billion in 2020.

2015 was the year that the much ballyhooed AR/VR technology started to arrive, and in 2016 it's been a major topic of buzz, but not much else.You are still hard-pressed to walk into an office and find someone wearing a headset. But VR/AR is a game-changer both for entertainment and for work.

Look for major progress to be made in 2017. Microsoft will be releasing a new HoloLens in 2017, a product always geared toward work. Facebook has previewed work applications with Oculus Rift, and so on.

IDC predicts that worldwide revenues for the augmented reality and virtual reality (AR/VR) market will grow from $5.2 billion in 2016 to more than $162 billion in 2020.

Digital twins

Digital twins is a combination of AI, IoT, and VR/AR.

The “digital twin” concept is becoming a part of this productivity improvement and decision making process by connecting the silos between digital data. But part of the challenge with this concept is that industry leaders define the concept differently.

The digital twin was first introduced and clearly defined by Dr. Michael Grieves in 2003 at University of Michigan. CAD technology companies like PTC and Dassault Systems, for example, perceive it differently to address the key concerns of their current and future customers.

The basic concept of the digital twin model is to build rich digital information for virtual products; digital information that is indistinguishable from the physical counterpart. This digital information will serve as a “twin” of the information embedded within the physical product or system itself and will be linked to it throughout the lifecycle of the system.

The digital twin concept model as defined by Dr. Grieves consists of three main parts: physical products in real space, virtual products in virtual space and the connected data that tie the physical and virtual products together.

Digital twin benefits

The concept of digital twin remains beneficial in many ways. It eliminates the use of symbols or numbers extracted from the visual information for conceptualization.

The most powerful benefit of digital twin however is in collaboration. Tracking the state of the physical product under the development through a replicated digital model lets individuals monitor the performance from anywhere.

Blockchain and distributed ledgers

This blockchain concepts starts from bitcoins. Blockchain is a way of distributing a database across many far-flung computers.A blockchain originally block chain is a distributed database that maintains a continuously-growing list of records called blocks secured from tampering and revision. Each block contains a timestamp and a link to a previous block.

The blockchain is a core component of the digital currency bitcoin conceived in 2008 and first implemented in 2009—where it serves as the public ledger for all transactions. Blockchain can be used to keep track of digital coins, like Bitcoin, and all kinds of other things. So many apps are create for blockchain for the financial industry, for health care, and so on.

Market Reports Hub believes the global blockchain technology market will grow from $210.2 million in 2016 to $2.3 billion by 2021.

Conversational systems

 Conversational agent (CA) is a computer system that interacts with the human through language to assist them. It is also called Dialog system. Dialog systems have employed text, speech, graphics, haptics, gestures and other modes for communication on both the input and output channel.

One of the strategic technology trends for 2017 are conversational systems. As defined by Tata Consulting, enterprise conversational systems offer a messaging or conversation-driven user experience and facilitate contextual conversations around business events. Through connected APIs, enterprises can build conversational systems that aggregate business events from every area of the enterprise to facilitate people-to-people, people-to-systems, and systems-to-systems interactions.

In future, in the conversation interface arena, the focus will shift from chatbots and microphone-enabled devices to the digital meshes that will encompass a wide range of endpoints. Later, we’ll observe a greater cooperative interaction between devices, creating a path for a new ambient digital experience.

There's a chatbot craze going on now right now, letting you interact with all sorts of apps by texting. Apps such as IBM's Watson, Apple's Siri, Facebook M, Microsoft Cortana, Slack Slackbot, Google Now, and Amazon Echo leverage cognitive computing to enhance and enrich the interaction between users and computers.

One market research firm, TMA Associates, believes that conversational user interfaces will lead to a $600 billion market by 2020.

Mesh app and service architecture

What is Mesh App and Service Architecture?

Everyday more and more app are being designed to work together. For this to function, we need an IT architecture for support so that architecture support the apps and services to the digital mesh.

Mesh App and Service Architecture needs to be flexible enough to allow for the rapid evolution of users’ needs and methods of interacting with their technology. It has to be able to link up numerous endpoints including devices, apps, services, microservices and other information sources.

What Does this Mean in Practice?

When it comes to providing the kind of architecture needed to support the digital mesh of the future, the old linear, rigid models – such as the three-tier application approach, which separates out presentation, processing and data — just isn’t going to cut it.

Savvy innovators are looking for solutions that are agile, integrated and that can scale. They’re using software-defined application services that support web-scale performance, both onsite and in the cloud. There’s a growing use of containers to support developments that are nimble and responsive – and which is key to creating microservice architecture, which allows them to build distributed applications.

In other words, when you have a ton of different apps and networks all firing information at each other, how do you make it look like one seamless, coherent experience for the user? How do you make sure all they see is the swan moving over the water, and not the feet splashing about under the surface? This is a question that will no doubt dominate tech development in 2016.

To get all of these devices come online talking to us and to each other, they'll need IT systems that them do this. Enter the "Mesh App and Service Architecture" or MASA. There's already been a lot of attention to the early stages of this market. Cisco's Jasper's IoT network, and Salesforce and Microsoft's IoT cloud services are just some examples. MASA is part of the IoT market that will generate $661.74 billion by 2021, predicts Markets and Markets.

Adaptive Security Architecture

Enhancing IT security with adaptive security architecture

According to a recent report by Deloitte, the average cost of a data breach to a single Australian business is more than $2.5 million per year. On top of that, the average breach compromises more than 20,000 records (accounts or credentials). These numbers are expected to rise as organizations confront the twin challenges of protecting their on-premise software well as their applications in the cloud.

The adaptive security architecture can help enterprises shift their existing mind-set of “incident response,” wherein incidents are thought of as occasional, one-off events, to a mind-set of continuous response, where they assume that cyber-attacks are relentless and hackers have the ability to continuously penetrate the systems.

An adaptive security architecture can be used to mitigate some IT security breaches. It can be used to continuously track existing and potential security threats. This architecture provides a balanced approach that allows enterprises to include enterprise security as an important component of their end-to-end business processes.

Currently Smart devices can be uses as good and bad. But soon, these smarter computers and devices will be able to learn and better protect themselves. IT professionals trying to use the AI and make the devices more smarter from attacks with the help of adaptive security architecture.

Research and Markets predicts adaptive security will become a $7.07 billion market by 2021.

Technology like Art Is a Soaring Exercise of  the Human Imagination -Daniel Bell