2018 Technology Trends for Businesses


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

The top 5 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 Gartner Fellow and vice president David 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.

Source:  www.thestar.com

Posted on: 29/11/17

Rahul Krishnan

- Content Writer