AI on the Edge with Security: Foundations and Practices - Hardcover

Über die Autorin bzw. den Autor

Naresh Kumar Sehgal is a CTO at the Deeply Human AI. Before that he worked at NovaSignal for 3 years and at Intel for 32 years in various Engineering and Management roles. Naresh has earned his B.E. from Punjab Engineering College, M.S. and Ph.D. from Syracuse University. He taught Cloud Computing at Santa Clara University, where he also earned an MBA.

Manoj Saxena is currently working as a Chief Researcher at Centre of Excellence for Distributed Artificial Intelligence, NetEdge. He is a Gold Medallist in Electrical Engineering from Delhi College of Engineering with a Master’s in computer science from Indian Institute of Science, Bangalore, and a Ph.D. in Computer Science with research in the area of Distributed Artificial Intelligence from IIT, Delhi. With over 30 years of experience in Information Technology, his prime focus is on Artificial Intelligence, Machine Learning, Knowledge Management, Distributed Systems, Internet of Things, and Cloud Computing.

Dhaval N. Shah is an Entrepreneurial Software Professional working in the AI space. He is based in California, USA where he came to study Computer Science at Stanford University after his B. Tech. in Computer Science and Engineering at IIT (BHU), Varanasi. He was awarded the Outstanding Student of the Institute for the entire IIT Graduating Batch. He previously worked at Cisco Systems and Oracle Corporation, has been part of several startups including co-founding MooWee (pioneered Internet TV) that was acquired, and is the Father of Internet TV. He was a Fellow at Syracuse University, holds a MS from University of Wisconsin-Madison, Certificate in Software Systems from Stanford University, and a MBA from University of California, Berkeley, Haas School of Business. Dhaval is an inventor on 21 Patents. In his spare time, Dhaval is a part-time Table Tennis Coach (was a National Level Table Tennis Player) and as a classically trained singer, participates in Bollywood singing and also teaches singing part-time.

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This book provides readers with an overview of the next generation of Cloud computing with AI, evolving to minimize latency and address privacy/security concerns of many customers. This book will highlight the associated problems and propose new solutions for performing AI and ML at the edge of computing networks.

• Connects the dots between IoT, Cloud Computing and AI/ML to show the power of combining these;
• Readers will learn to prepare for the evolution of Cloud Computing in the context of Security, AI and the Edge;
• Enables design of architectures resulting in lower electrical power usage, latency and higher security.