Accelerate Business Growth and Outcomes with AI

whitePaper | November 25, 2019

In 2020, artificial intelligence will no longer be a vision of the future, but a tangible reality: language agents such as Siri, Cortana or Alexa are already pervading our everyday lives. The smart assistants play our favorite music, make restaurant suggestions, recommend films, identify the fastest route to our destination and steer our car better into the parking lot than we could. We use artificially intelligent systems that are becoming more and more a matter of course both at home and at work. AI systems have slipped into our everyday lives and they are here to stay.

whitePaper | November 1, 2019

Artificial Intelligence is becoming an ever more important part of our lives. Many of us are already familiar with its everyday applications, such as decluttering our inboxes with spam filters or receiving personalised shopping recommendations. Yet, whether it is powering a new generation of self-driving cars, guarding us against fraud or helping doctors better diagnose health conditions, AI’s transformational abilities are being felt in increasingly ubiquitous and innovative ways.

whitePaper | June 3, 2022

A key ingredient of eBusiness is the ability to offer customers the very best user experience, irrespective of whether they use a web browser, a mobile browser or a mobile app. In this guide, we explore the challenges organisations face in managing the numerous ways customers can transact with businesses

whitePaper | July 23, 2020

IT Operations Management (ITOM) is more important than ever in today’s fast-changing world. It helps IT to ensure availability, maintenance and deployment of hardware, software, services and processes. By providing IT with a single platform for operations management, ITOM is the enabler of speed, agility, complete visibility and rapid problem detection. This maximizes business return from IT investment by cost-effectively achieving optimum IT performance.

whitePaper | November 10, 2019

Large enterprises need to implement AI solutions quickly and efficiently, but many don’t have the right people, process and technology. Firms can accelerate progress to AI maturity through use of a robust workbench, an operating model built on a data science-led pyramid of skills, and pre-built solutions when data complexity and talent scarcity are too big a challenge.

whitePaper | December 22, 2022

Machine learning, one of the key building blocks of AI, has been a part of the technological world since the 1950s, when the earliest programmers asked computers to make sense of large sets of data. Programmers have increasingly refined the ability of machines to study data in order to detect patterns that allow computers to then organise information, identify relationships, make predictions and detect anomalies. Today, modern applications of AI have already given us self-driving cars and virtual assistants and have helped us detect fraud and manage resources like electricity more efficiently. Sectors as diverse as retail, sports, banking, manufacturing and healthcare have all found applications for machine learning and AI.