Business transformations that involve AI, digital technologies and mesh technologies […]

Business transformations that involve AI, digital technologies and mesh technologies may be one of the top business trends being discussed today, says Gartner, however, these three technologies have yet to be fully adopted or become mainstream. According to McKinsey & Company, on average industries are less than 40% digitalised. Industries that take the initiative to adopt these technologies will ultimately create a foundation for the next generation of digital business models and ecosystems.

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Here’s our breakdown of some of Gartner’s most disruptive technology trends for 2018 and beyond — and how we believe adopting them can have major effect across all organizational levels.

Intelligent Digital Mesh | Source: Gartner

Top 10 Strategic Predictions for 2018 and Beyond

Trend No. 1: AI Foundation

Artificial Intelligence and machine learning is increasingly becoming the foundation component of all the application, services and all the things surrounding the business world. Gradually AI is being used to enhance decision making, reinvent business models and ecosystems. According to Gartner there has been an increase in inquiry calls, it’s clear that interest in AI is growing. A recent Gartner survey showed that 59% of organisations are still in the process of accumulating information to build an AI strategy, while the rest have begun their process on adopting AI solutions. This indicates the adaptation of AI is well on its way foreshadowing a future where businesses and AI will come together like “peas and carrots”.

Trend No.2: Intelligent Apps and Analytics

Most technology and business analysists have predicted that in the next few years every app, application and service will have incorporated AI at some level or another. This means that Ai will operate clandestinely in the background of many familiar and future applications. A game changer, as some have called it, as it will have the potential to transform the nature of work and the structure of the workplace. This is already seen in virtual customer assistants.

Trend No.3: Intelligent Things

This is understood as technology communicating with one another on a whole new level using AI. With Ai, machine learning will reach a point where ‘things’ i.e. machines, can interact in a more intelligent way with each other, as well, as with people. Intelligent things will be able to operate semi-autonomously in an unsupervised environment to complete a task. An example of this is Honda. With smart cars, backed by AI, there will be less traffic, pollution and most importantly less fatalities as the cars will be able to interact/detect one another to prevent accidents.

Trend No.4: Digital Twins

Digital twins are digital representations of real word things where people can operate on these digital representations to drive better maintenance, repair and operation (MRO) of physical assets. The purpose of this technology is to link the digital world with the physical world to offer greater information. 21 billion connected sensors and endpoints will be established by 2020 thereby allowing digital twins to exist for billions of IoTs in the near future. This can potentially save billions of dollars in MRO and optimise IoT asset performances.

Trend No.5: Cloud to the Edge

Cloud to the edge is a method of advancing cloud computing systems by carrying out more efficient data processing at the edge of the network, near the source of the data. This will allow edge devices (phones, tablets and other IoTs) to be connected to “near services” thus, reducing the communication bandwidth between sensors and the central datacentre.

Trend No. 6: Conversational Platforms

This trend is about how people will interact with computer systems. Conversational platforms are another game changer in of itself as it will advance the way people literally speak to their devices. Questions such as “how is the weather?” will be easily understood and answered by computer systems. These platforms will continue to evolve to even more complex actions and responses making it as humanly as possible.

Trend No. 7: Immersive Experience

Immersive experience is the advancement of virtual reality (VR). VR will change the way people perceive and interact with the digital world. Coupled with conversational platforms, a paradigm shift in the user experience will emerge as application vendors, system software and development vendors will all compete to bring about this model to a wide range of users.

Trend No. 8: Blockchain

Blockchain is a digitised, decentralised, chain of digital blocks that keep record of all transactions and added in a chronological order. The business value here is that blockchain allows untrusted parties to engage in commercial transactions, which holds the potential to disrupt all industries.

Trend No. 9: Event-Driven

As businesses become more digitised, digital businesses will need to rely on their ability to sense new digital business opportunities and be ready to pounce to exploit their advantages. With the rise of AI, IoT and other such technologies business events will be easily detected and analysed in greater detail. Businesses should warmly grip “event thinking” as part of a digital business strategy.

Trend No. 10: Continuous Adaptive Risk & Trust

As security is a continuous adaptive process, digital businesses will have to create a new mental model built around security. The use of increasingly sophisticated tools, consequently, increases the threat potential. Real-time, risk and trust-based decision making with adaptive responses to security-enabled digital business will become of greater importance as the old techniques will no longer work in a digital world. With the aforementioned nine trends, this final trend will be inevitable as it is an after affect of the digital transformation of all businesses and industries.

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