WHAT’S UNDER YOUR NETWORK’S HOOD

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 | December 27, 2022

Welcome back to our white paper series about how to use AI and data throughout the new business and underwriting processes. In the first white paper we discussed the importance of product design and the benefits of using AI.

whitePaper | October 3, 2022

Contact center associates deal with complex incall tasks, across multiple systems. High staff turnover is common, and training up new staff can take weeks or even months. These challenges can quickly begin to affect engagement, performance and KPIs. With a cohesive digital strategy, your Digital Workforce has instant access to all customer information from one system, meeting the customer’s expectation of immediacy.

whitePaper | November 1, 2021

Robotics, automation, Internet of Things (IoT), and data are not new in manufacturing. Manufacturing is one of the most data-rich and first industries piloting artificial intelligence at the edge. It’s been estimated, however, that about 95% of all industrial data goes unused. The reason? Legacy equipment and operational systems that tend to be proprietary and siloed are incapable of communicating with each other.

whitePaper | December 15, 2019

Artificial Intelligence (AI), and specifically Machine Learning (ML), are being tested in an increasing number of fields, including data-centric environments. Image or text analysis, speech recognition, chatbot interactions, custom machine learning models… all these are elements that could enable the AI journey of a public safety and security organisation. This document dives into different aspects of integrating AI & ML in Public Safety activities, at different levels and in different domains of activity. It presents ethical and regulatory considerations, real examples from Public Safety Answering Points (PSAPs) and Emergency Response Organisations (EROs), and also initiatives that can benefit the public sector greatly, with a series of recommendations at the end.