In the realm of artificial intelligence (AI), the ability to execute models effectively at the edge has become paramount. As we witness the rapid proliferation of IoT and edge devices, along with the increasing need for those devices to make decisions in real time, the concept of edge AI has emerged as a transformative paradigm. The Practical Guide to Preparing Edge Device Fleets for the Future delves into the intricacies of operationalizing AI models at the edge, providing a comprehensive guide for practitioners.
The Practical Guide to Preparing Edge Device Fleets for the Future is structured to provide a holistic understanding of the key considerations, best practices, and technical nuances involved in streamlining device management and preparing device fleets for a future where AI deployments are critical. Whether you are a seasoned AI practitioner, a researcher seeking to expand your knowledge, or a business leader exploring the possibilities of edge AI, this book offers a comprehensive and practical guide to operationalizing AI on your devices. By leveraging the insights and best practices presented, you can effectively harness the power of AI to drive innovation and achieve transformative business outcomes
