Top technology trends for 2018

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PETALING JAYA: World’s leading research and advisory company Gartner Inc has highlighted the top strategic technology trends that will impact most organisations in 2018. 

Gartner defines a strategic technology trend as one with substantial disruptive potential that is beginning to break out of an emerging state into broader impact and use, or which are rapidly growing trends with a high degree of volatility reaching tipping points over the next five years.

“Gartner’s top 10 strategic technology trends for 2018 tie into the Intelligent Digital Mesh. The intelligent digital mesh is a foundation for future digital business and ecosystems. 
“IT leaders must factor these technology trends into their innovation strategies or risk losing ground to those that do,” said Gartner Fellow and vice president David Cearley. 

The first three strategic technology trends explore how artificial intelligence (AI) and machine learning are seeping into virtually everything and represent a major battleground for technology providers over the next five years. 

The next four trends focus on blending the digital and physical worlds to create an immersive, digitally enhanced environment. The last three refer to exploiting connections between an expanding set of people and businesses, as well as devices, content and services to deliver digital business outcomes.

The top 10 strategic technology trends for 2018 are:

Artificial intelligence (AI) Foundation:

Creating systems that learn, adapt and potentially act autonomously will be a major battleground for technology vendors through at least 2020. 

The ability to use AI to enhance decision making, reinvent business models and ecosystems, and remake the customer experience will drive the payoff for digital initiatives through 2025.

“AI techniques are evolving rapidly and organizations will need to invest significantly in skills, processes and tools to successfully exploit these techniques and build AI-enhanced systems,” 

“Investment areas can include data preparation, integration, algorithm and training methodology selection, and model creation. Multiple constituencies including data scientists, developers and business process owners will need to work together,” said Cearley.

Intelligent Apps and Analytics:

Over the next few years, virtually every app, application and service will incorporate some level of AI. Some of these apps will be obvious intelligent apps that could not exist without AI and machine learning. Others will be unobtrusive users of AI that provide intelligence behind the scenes. 

Intelligent apps create a new intelligent intermediary layer between people and systems and have the potential to transform the nature of work and the structure of the workplace.

AI has become the next major battleground in a wide range of software and service markets, including aspects of enterprise resource planning (ERP). 

Packaged software and service providers should outline how they’ll be using AI to add business value in new versions in the form of advanced analytics, intelligent processes and advanced user experiences.

Intelligent Things:

Intelligent things are physical things that go beyond the execution of rigid programming models to exploit AI to deliver advanced behaviors and interact more naturally with their surroundings and with people. 

AI is driving advances for new intelligent things (such as autonomous vehicles, robots and drones) and delivering enhanced capability to many existing things (such as Internet of Things [IoT] connected consumer and industrial systems).

Digital Twin:

A digital twin refers to the digital representation of a real-world entity or system. Digital twins in the context of IoT projects is particularly promising over the next three to five years and is leading the interest in digital twins today. 

Well-designed digital twins of assets have the potential to significantly improve enterprise decision making. These digital twins are linked to their real-world counterparts and are used to understand the state of the thing or system, respond to changes, improve operations and add value. 

Organisations will implement digital twins simply at first, then evolve them over time, improving their ability to collect and visualize the right data, apply the right analytics and rules, and respond effectively to business objectives.

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 of this information. 

Connectivity and latency challenges, bandwidth constraints and greater functionality embedded at the edge favors distributed models. Enterprises should begin using edge design patterns in their infrastructure architectures — particularly for those with significant IoT elements.

While many view cloud and edge as competing approaches, cloud is a style of computing where elastically scalable technology capabilities are delivered as a service and does not inherently mandate a centralised model.

Conversational Platforms:

Conversational platforms will drive the next big paradigm shift in how humans interact with the digital world. The burden of translating intent shifts from user to computer. The platform takes a question or command from the user and then responds by executing some function, presenting some content or asking for additional input. 

Over the next few years, conversational interfaces will become a primary design goal for user interaction and be delivered in dedicated hardware, core OS features, platforms and applications.

Immersive Experience:

While conversational interfaces are changing how people control the digital world, virtual, augmented and mixed reality are changing the way that people perceive and interact with the digital world. 

The virtual reality (VR) and augmented reality (AR) market is currently adolescent and fragmented. Interest is high, resulting in many novelty VR applications that deliver little real business value outside of advanced entertainment, such as video games and 360-degree spherical videos. 

To drive real tangible business benefit, enterprises must examine specific real-life scenarios where VR and AR can be applied to make employees more productive and enhance the design, training and visualisation processes.

Mixed reality, a type of immersion that merges and extends the technical functionality of both AR and VR, is emerging as the immersive experience of choice providing a compelling technology that optimises its interface to better match how people view and interact with their world. 

Mixed reality exists along a spectrum and includes head-mounted displays (HMDs) for augmented or virtual reality as well as smartphone and tablet-based AR and use of environmental sensors. Mixed reality represents the span of how people perceive and interact with the digital world.

Blockchain:

Blockchain is evolving from a digital currency infrastructure into a platform for digital transformation. 

Blockchain technologies offer a radical departure from the current centralized transaction and record-keeping mechanisms and can serve as a foundation of disruptive digital business for both established enterprises and startups. 

Although the hype surrounding blockchains originally focused on the financial services industry, blockchains have many potential applications, including government, healthcare, manufacturing, media distribution, identity verification, title registry and supply chain. 

Although it holds long-term promise and will undoubtedly create disruption, blockchain promise outstrips blockchain reality, and many of the associated technologies are immature for the next two to three years.

Event Driven:

Central to digital business is the idea that the business is always sensing and ready to exploit new digital business moments. 

Business events could be anything that is noted digitally, reflecting the discovery of notable states or state changes, for example, completion of a purchase order, or an aircraft landing. 

With the use of event brokers, IoT, cloud computing, blockchain, in-memory data management and AI, business events can be detected faster and analysed in greater detail. But technology alone without cultural and leadership change does not deliver the full value of the event-driven model. 

Digital business drives the need for IT leaders, planners and architects to embrace event thinking.

Continuous Adaptive Risk and Trust:

To securely enable digital business initiatives in a world of advanced, targeted attacks, security and risk management leaders must adopt a continuous adaptive risk and trust assessment (CARTA) approach to allow real-time, risk and trust-based decision making with adaptive responses. 

Security infrastructure must be adaptive everywhere, to embrace the opportunity — and manage the risks — that comes delivering security that moves at the speed of digital business.

As part of a CARTA approach, organisations must overcome the barriers between security teams and application teams, much as DevOps tools and processes overcome the divide between development and operations. 

Information security architects must integrate security testing at multiple points into DevOps workflows in a collaborative way that is largely transparent to developers, and preserves the teamwork, agility and speed of DevOps and agile development environments, delivering “DevSecOps.”