IoT and the Data Gold Rush

whitePaper | July 10, 2020

There’s no arguing that preventing failures and accidents is critical for industry. Unexpected incidents can grind operations to a halt for extended periods of time and necessitate expensive repairs. Just 12 hours of downtime for an oil production platform could cost six to eight million dollars in lost production opportunity alone. A single day of grounding for a plane costs roughly four to five million dollars. Because of these disruptions, industrial sectors are always on the lookout for newer, better maintenance methods, and the approach on everyone’s lips right now is predictive maintenance. While everyone agrees on the name, there is less consensus on what it means or how to implement it. But to truly unlock the potential of predictive maintenance, it needs to be paired with artificial intelligence (AI) and machine learning (ML).

whitePaper | October 18, 2022

The term Artificial Intelligence for IT Operations (AIOps) combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.

whitePaper | June 2, 2022

Licensing programs are channels where you can buy Power Apps, Power Automate and Power Virtual Agents. You can license Power Apps, Power Automate and Microsoft Power Virtual Agents through Microsoft Volume Licensing (VL), Cloud Solution Provider program (CSP), and/or Web Direct (MOSP) programs. In Volume Licensing, Power Apps and Power Automate are available through:

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.

whitePaper | September 12, 2022

A seamless customer experience has quickly emerged as a critical differentiator for businesses across all industries.1 And the bar is set high – using artificial intelligence (AI) to deliver touches like personalization, gamification and around-the-clock customer support has become an all but everyday expectation for a large number of consumers.

whitePaper | November 28, 2022

The Future of Life Institute (FLI) welcomes the opportunity to provide feedback to the European Commission on its proposal for an artificial intelligence (AI) Liability Directive1 . Liability is an important instrument for safeguarding the interests of society. It can play a role in catalysing innovation by encouraging organisations to develop risk-mitigating technologies that reduce the likelihood of harm in products and services. At the same time, it prioritises the rights of individuals and can lead to increased trust and uptake in new technologies.