This report will describe a set of best practices throughout the AI lifecycle, from planning, development and deployment to ongoing monitoring of AI models to ensure the responsible, ethical and fair use of AI. Businesses have to be proactive in developing a strong foundation for responsible AI. Otherwise, they will risk having to take AI implementations offline or suffer costly remediation that will be detrimental to their return on investment.
The Essentials of Healthcare IT – 2024 Kit brings together the latest in information, coverage of important developments, and expert commentary to help...
The Essentials of Marketing – 2024 Kit brings together the latest in information, coverage of important developments, and expert commentary to help with...
The global news source for IoT innovations in public infrastructure including intelligent transport systems, digital twins, AI, V2X, micromobility, smart parking, autonomous vehicles,...
Global news about connected technology for asset tracking and supply-chain management, including last-mile deliveries, last-kilometre (last-mile) deliveries, fleet management, telematics, delivery robots, warehouse...
The global news source for advances in mHealth and Telemedicine, including cyber security, AI, virtual care, health wearables, fertility tracking, remote patient monitoring,...
Global news about connected technology for the smart grid and pipeline/refineries management, including smart meters, smart grid, electric vehicles, security, V2G, AMI, energy...
Global news about connected technology for the smart grid and pipeline/refineries management, including smart meters, smart grid, electric vehicles, security, V2G, AMI, energy...
The global news source for advances in mHealth and Telemedicine, including cyber security, AI, virtual care, health wearables, fertility tracking, remote patient monitoring,...
