Engineering Intelligent Insurance Platforms: Cloud-Native AI Systems for Predictive Automation explores how AI, cloud-native architectures, and intelligent automation are transforming the insurance industry.
Intelligent Fiscal Trust Architectures: Autonomous Risk and Adaptive Economic Systems explores the transformation of modern financial ecosystems through artificial intelligence, autonomous governance, and intelligent digital trust frameworks.
Leading Digital Transformation: Strategy and Execution for Senior Leaders by Kavitha Thiyagarajan is a practical and strategic guide for executives, business leaders, and decision-makers navigating the rapidly evolving digital economy.
Intelligent Digital Trust Architectures: AI, Compliance, and Infrastructure Across Connected Industries explores the evolving foundations of secure, intelligent, and compliant digital ecosystems in an era driven by AI, cloud computing, and interconnected enterprise platforms.
'Sarah is one of the few people who really understands how AI is changing the character of work already and what it means for all of us' David Runciman'Original and enlightening.
The Times and Financial Times Book of the Year'Enticing' Sunday Times | 'Engaging' Financial Times | 'Essential' Reid Hoffman___As technology accelerates, the human mind struggles to keep up - and our companies, workplaces and democracies get left behind.
' Exactly the book you need right now Stylist'You know how the best writers pinpoint something you ve felt for ages but haven t been able to articulate?
Leading tech companies such as Netflix, Amazon and Uber use data science and machine learning at scale in their core business processes, whereas most traditional companies struggle to expand their machine learning projects beyond a small pilot scope.
Dan Ariely's three New York Times bestselling books on his groundbreaking behavioral economics research, Predictably Irrational, The Upside of Irrationality, and The (Honest) Truth About Dishonesty, are now available for the first time in a single volume.
Leading tech companies such as Netflix, Amazon and Uber use data science and machine learning at scale in their core business processes, whereas most traditional companies struggle to expand their machine learning projects beyond a small pilot scope.
From the author of The Music of the Primes and Finding Moonshine comes a short, lively book on five mathematical problems that just refuse be solved - and on how many everyday problems can be solved by maths.
This body of work aims to systematically organize and deliver a comprehensive overview of the IT landscape, ranging from the fundamental concepts of computer systems to the latest cloud technologies and application development.
This book explores MATLAB graphics and handles, focusing on the construction of dynamic system simulations and interactive control animations within App Designer.
A hands-on and intuitive guide to the foundations of modern deep learning In Deep Learning: Principles and Implementations, distinguished researcher and professor Weidong Will Kuang delivers an up-to-date exploration of how major deep learning algorithms and architectures are formalized and developed from mathematical equations.
Unlock clarity, creativity, and strategic direction with this powerful collection of 100+ business growth prompts, thoughtfully designed to help entrepreneurs, founders, and professionals take their ideas to the next level.
AI-driven Healthcare Innovations presents a timely and authoritative exploration of how artificial intelligence (AI) is transforming modern clinical practices and medical research.
Balanced, in-depth exploration of mathematics in cybersecurity, supported by case studies and other learning features With clear and concise explanations, practical examples, case studies, and real-world applications, Mathematics in Cybersecurity is an essential learning aid for readers seeking an understanding of the fundamental concepts in the field.
Fortify your digital defenses with this essential book, which provides a roadmap for moving beyond the limitations of traditional encryption by leveraging generative AI algorithms to proactively anticipate, detect, and mitigate the next generation of cyber threats in real-time.
Balanced, in-depth exploration of mathematics in cybersecurity, supported by case studies and other learning features With clear and concise explanations, practical examples, case studies, and real-world applications, Mathematics in Cybersecurity is an essential learning aid for readers seeking an understanding of the fundamental concepts in the field.
