Veykor auren (27 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware - What if your machines could tell you they were about to fail before they actually did For decades, manufacturing teams have battled unexpected breakdowns, costly downtime, and maintenance schedules that often felt more like educated guesswork than science. Today, artificial intelligence is changing the rules of the game-and the smartest factories are listening. In AI for Industrial Maintenance: Predictive Failure Detection and Asset Intelligence in Manufacturing, I explore how AI, machine learning, Industrial IoT, digital twins, and advanced analytics are transforming maintenance from a reactive headache into a strategic advantage. Don't worry-this isn't a book filled with impossible equations, robotic jargon, or futuristic promises that belong in a science fiction movie. Instead, you'll discover practical insights, real-world concepts, and proven strategies that help manufacturers predict failures, optimize asset performance, and make smarter decisions with data. Whether you're a maintenance engineer, plant manager, operations leader, manufacturing executive, reliability professional, data analyst, or technology enthusiast, this book provides a clear roadmap for understanding and applying AI-powered maintenance systems in modern industrial environments. Inside, you'll learn how to: - Understand the shift from reactive and preventive maintenance to predictive maintenance- Identify common equipment failure patterns and risk factors- Build effective industrial data ecosystems for AI initiatives- Use sensors, Industrial IoT, and condition monitoring technologies- Prepare maintenance and operational data for machine learning- Develop predictive failure detection models and anomaly detection systems- Estimate remaining useful life for critical equipment- Leverage asset intelligence for better performance and lifecycle management- Integrate digital twins into maintenance strategies- Automate maintenance planning and decision-making processes- Deploy AI solutions across manufacturing environments- Address cybersecurity, governance, and ethical AI considerations>Along the way, you'll discover that predictive maintenance isn't just about preventing breakdowns-it's about unlocking hidden value, improving operational efficiency, reducing costs, increasing safety, and giving your organization a competitive edge. Machines may not be able to complain about Mondays, but thanks to AI, they can finally tell us when they're having a bad day. If you're ready to harness the power of artificial intelligence, predictive analytics, machine learning, and asset intelligence to build smarter, more resilient manufacturing operations, this book will show you where to start and how to move forward with confidence. The future of industrial maintenance isn't reactive. It's predictive, intelligent, and already here. …

Taschenbuch. Condizione: Neu. Neuware - Are you a CTO, SaaS founder, engineering leader, or product executive trying to make sense of the EU AI Act without drowning in legal jargon Then welcome aboard. When the European Union introduced the AI Act, many technology leaders had the same reaction: 'How bad can it be ' A few hundred pages later, they were questioning their life choices. I wrote this book to save you from that experience. The EU AI Act for SaaS Companies is a practical, CTO-focused guide that translates complex AI regulations into clear, actionable strategies for modern software businesses. Instead of legal theory and endless compliance buzzwords, you'll learn how to evaluate your AI systems, classify risks, build governance frameworks, prepare technical documentation, and navigate compliance requirements with confidence. Whether you're developing AI-powered SaaS products, integrating third-party models, deploying machine learning features, or preparing for future audits, this book helps you understand exactly what matters-and what doesn't. Inside, you'll learn how to: - Determine whether your SaaS products fall under the EU AI Act- Understand the risk-based classification framework- Identify prohibited, limited-risk, and high-risk AI systems- Build an effective AI governance and compliance program- Create AI inventories and documentation that regulators expect- Implement transparency, accountability, and monitoring processes- Manage data governance, cybersecurity, and quality requirements- Navigate conformity assessments and CE marking obligations- Handle compliance challenges involving foundation models and GPAI systems- Evaluate vendors and manage AI supply chain risks- Prepare for enforcement actions, audits, and regulatory scrutiny>This book is designed for busy technology professionals who need practical answers, not legal lectures. You'll find real-world guidance, implementation frameworks, risk assessment approaches, and compliance strategies that can be applied immediately inside SaaS organizations of any size. The goal isn't just to help you avoid fines. It's to help you build trustworthy AI products, strengthen customer confidence, reduce regulatory risk, and create a competitive advantage in an increasingly regulated market. Because the future of AI belongs to companies that can innovate fast and stay compliant at the same time. If you're ready to transform the EU AI Act from a source of confusion into a strategic business advantage, this guide will show you how. Written by Auren Veykor.…

Taschenbuch. Condizione: Neu. Neuware - What happens when AI agents stop being simple tools and start making decisions, communicating with other agents, accessing sensitive data, and acting on your behalf - A lot of amazing things.- Also, a lot of terrifying things.- That's exactly why I wrote Zero Trust for AI Agents: Identity, Auth, and Secure Protocols for Autonomous Systems.>In this book, I'll guide you through the modern security principles needed to protect AI agents operating in increasingly complex digital environments. Using a practical, engaging, and sometimes humorous approach, we'll explore how Zero Trust Architecture can help ensure that every agent, request, interaction, and decision is continuously verified. Whether you're a cybersecurity professional, AI engineer, system architect, technology leader, or simply curious about the future of secure autonomous systems, this book provides the knowledge and frameworks you need to build trustworthy AI ecosystems. Inside, you'll discover: - The fundamentals of Zero Trust Architecture for AI-driven environments - How to establish secure digital identities for autonomous agents - Modern authentication and authorization strategies for AI systems - Secure communication protocols for agent-to-agent interactions - Trust frameworks for multi-agent ecosystems - Data protection, privacy, and governance best practices - Threat modeling techniques designed specifically for AI agents - Defenses against identity spoofing, prompt injection, and privilege abuse - Monitoring, auditing, and incident response for autonomous environments - Strategies for scaling secure multi-agent systems - Governance, compliance, and ethical security considerations - Emerging standards, decentralized identity, and the future of AI security The reality is simple: AI agents are becoming powerful digital coworkers. And just like human coworkers, they shouldn't automatically receive unrestricted access to everything. Trust is valuable. Blind trust is expensive. My goal with this book is to help you understand how identity, authentication, authorization, encryption, monitoring, and secure protocols work together to create resilient AI systems that can operate safely at scale. If you're ready to move beyond security buzzwords and learn how to protect the next generation of intelligent systems, Zero Trust for AI Agents will give you the roadmap, practical insights, and confidence to build secure autonomous architectures for the AI-powered future. Because in a world full of autonomous agents, 'trust but verify' is no longer enough. Verify everything. Trust intelligently. Build securely.…

Taschenbuch. Condizione: Neu. Neuware - What if you could build a profitable software business without raising funding, hiring employees, or spending years chasing the next big startup dream That's the promise of AI-powered Micro-SaaS. In The Micro-SaaS Agent, I'll show you how solo developers, indie hackers, freelancers, and aspiring entrepreneurs can build, price, launch, and grow AI software products that generate recurring revenue in today's rapidly evolving digital economy. The rise of artificial intelligence has changed the rules of software entrepreneurship. Tasks that once required large teams can now be automated by AI agents, workflows, and powerful language models. This creates an unprecedented opportunity for one-person businesses to compete, innovate, and win. But technology alone doesn't create a successful business. You need the right idea, the right market, the right pricing strategy, and a clear path to acquiring customers. That's exactly what you'll learn inside this book. You'll discover how to: - Find profitable AI Micro-SaaS opportunities before writing a single line of code - Validate customer demand and avoid building products nobody wants - Design AI-powered solutions that solve real business problems - Build lean MVPs quickly and efficiently - Create effective AI agents and automation systems - Choose the best AI tools, APIs, and infrastructure for your business - Develop pricing models that maximize revenue and customer retention - Build trust through better user experience, security, and transparency - Attract your first paying customers without a huge marketing budget - Create repeatable sales systems as a solo founder - Automate operations and scale without growing a large team - Transform side projects into sustainable, long-term businesses - Prepare your Micro-SaaS for expansion, acquisition, or a portfolio strategy This isn't a book about becoming the next billion-dollar startup founder. It's about creating freedom, ownership, and income through practical AI entrepreneurship. Along the way, I'll share lessons, frameworks, and real-world strategies designed specifically for solo builders who want results without unnecessary complexity. Whether you're a software developer, indie hacker, freelancer, consultant, or tech enthusiast looking to capitalize on the AI revolution, this book provides a step-by-step roadmap for turning ideas into profitable software products. The future belongs to creators who can move fast, solve meaningful problems, and leverage AI intelligently.- You don't need a massive team.- You don't need venture capital.- You don't need permission.- You just need a problem worth solving and the willingness to start.Your first profitable AI Micro-SaaS could be closer than you think. Start building today. …

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. If you think clinical trials are slow, expensive, and complicated, you're absolutely right. For decades, drug development has struggled with patient recruitment delays, data silos, trial failures, and rising costs. But what if artificial intelligence could help change the game? In AI in Clinical Trials: Accelerating Drug Development with Machine Learning and Synthetic Data, I take you on a practical and engaging journey through the technologies transforming modern clinical research. Whether you're a healthcare professional, pharmaceutical leader, researcher, data scientist, student, or simply curious about the future of medicine, this book will help you understand how AI is reshaping every stage of the clinical trial process. Don't worry-this isn't one of those books that requires a PhD, three monitors, and a gallon of coffee to understand. I've broken down complex concepts into clear, relatable insights with real-world applications and plenty of practical examples. Inside this book, you'll discover: - How machine learning is accelerating clinical trial design and execution - The growing role of synthetic data in healthcare innovation and privacy protection - AI-powered strategies for patient recruitment, enrollment, and retention - Methods for improving diversity, inclusion, and representation in clinical research - Predictive analytics techniques that help identify risks before they become costly failures - The rise of decentralized clinical trials, digital biomarkers, and remote monitoring - How synthetic control arms and virtual trials are changing traditional study models - Regulatory, ethical, and legal challenges surrounding AI-driven healthcare decisions - Best practices for implementing AI solutions within pharmaceutical and biotech organizations - Emerging trends that could redefine drug development in the coming decade The future of clinical research isn't about replacing scientists, physicians, or clinical teams with algorithms. It's about giving them smarter tools, better data, and faster pathways to life-changing discoveries. AI is becoming the ultimate research assistant-minus the coffee breaks and office gossip. As healthcare systems generate more data than ever before, organizations that understand how to harness machine learning and synthetic data will gain a significant advantage in developing safer, more effective therapies. The question is no longer whether AI will influence clinical trials. The question is how quickly the industry can adapt. If you're ready to explore the intersection of artificial intelligence, machine learning, synthetic data, clinical research, and drug development, this book will provide the knowledge, strategies, and inspiration to help you navigate one of the most exciting transformations in modern healthcare. The future of clinical trials has arrived. Let's discover it together. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. Artificial Intelligence is changing business at lightning speed. Autonomous systems are making decisions, managing operations, analyzing risks, and influencing outcomes in ways that seemed impossible just a few years ago. Exciting? Absolutely. Risk-free? Not a chance. As organizations race to adopt AI, a critical question emerges: Who is responsible when autonomous systems make mistakes? In The Chief Risk Officer's Guide to AI, I take you on a practical and engaging journey through the complex world of AI liability, insurance, governance, cybersecurity, ethics, and safety frameworks. Whether you're a Chief Risk Officer, risk manager, compliance officer, executive leader, board member, legal professional, insurer, or technology strategist, this book will help you navigate the challenges and opportunities of the AI era with confidence. Let's be honest. When an AI system causes financial loss, regulatory violations, operational disruption, or reputational damage, nobody gets away with saying, "The algorithm made the decision." Regulators, customers, investors, and courts expect accountability. Understanding that accountability is now a business necessity. This book cuts through the hype and jargon to deliver practical strategies for identifying, assessing, and managing AI-related risks before they become costly problems. Inside, you'll learn: - How autonomous systems are transforming enterprise risk management- The legal foundations of AI liability and organizational accountability- Proven AI governance frameworks for responsible deployment- Emerging insurance solutions designed for AI-driven risks- Risk assessment methodologies tailored for autonomous systems- Safety engineering practices that improve reliability and resilience- How to defend against AI-specific cybersecurity threats- Strategies for reducing bias, increasing transparency, and building trust- Effective incident response plans for AI failures and crises- Methods for integrating AI risks into enterprise-wide governance programs- Future trends shaping the next generation of AI regulation and insurance This isn't a book about slowing innovation. It's about enabling innovation responsibly. The organizations that succeed in the age of artificial intelligence won't be those that avoid risk altogether. They'll be the ones that understand it, manage it, and build systems capable of adapting to an increasingly autonomous world. If you're responsible for protecting your organization while supporting growth and innovation, this guide will provide the tools, frameworks, and insights needed to make informed decisions in an AI-powered future. Because the smartest AI strategy isn't just about building intelligent systems-it's about building systems you can trust. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. What if your law firm could review thousands of pages of documents, analyze contracts, accelerate due diligence, and streamline legal research in a fraction of the time-without replacing a single lawyer? That's exactly what this book is about. In The Legal Tech AI Playbook, I'll show you how artificial intelligence is transforming the legal profession and how forward-thinking law firms are using it to work smarter, serve clients better, and stay competitive in a rapidly changing industry. Now, before you imagine a robot sitting in your corner office billing 2,000 hours a year, let me reassure you: this book is not about replacing lawyers. It's about removing repetitive, time-consuming work so legal professionals can focus on what they do best-thinking strategically, advising clients, negotiating outcomes, and practicing law. Whether you're a solo attorney, managing partner, legal operations professional, in-house counsel, or law student preparing for the future, this practical guide will help you understand, evaluate, and implement AI tools with confidence. Inside, you'll discover: - How AI is reshaping modern legal practice and why it matters now- The fundamentals of legal AI, machine learning, and generative AI-without the technical jargon- Proven strategies for automating due diligence and document review workflows- Practical methods for drafting, reviewing, and managing contracts more efficiently- AI-powered approaches to faster and more accurate legal research- Ways to improve client communication and automate administrative processes- Essential guidance on ethics, confidentiality, compliance, and risk management- Step-by-step frameworks for selecting and implementing legal AI solutions- Real-world insights into measuring ROI and increasing firm productivity- Emerging trends that will define the future of AI-augmented legal services I wrote this book because too many legal professionals feel trapped between excitement and uncertainty. The headlines promise a revolution, while the reality often feels confusing, overwhelming, and full of buzzwords. My goal is simple: cut through the noise. You don't need to become a software engineer. You don't need to learn complex algorithms. And you certainly don't need to fear that technology is coming for your job. What you do need is a practical playbook for understanding how artificial intelligence can support legal work, enhance professional judgment, and create more efficient law firms. The firms that thrive in the coming decade won't be the ones that resist technology. They'll be the ones that learn how to combine human expertise with intelligent automation. If you're ready to modernize your practice, increase efficiency, reduce repetitive work, and build a future-ready law firm, this book will give you the roadmap. The future of law isn't lawyers versus AI. It's lawyers with AI. And that future starts here. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. What if you could build a profitable software business without raising funding, hiring employees, or spending years chasing the next big startup dream? That's the promise of AI-powered Micro-SaaS. In The Micro-SaaS Agent, I'll show you how solo developers, indie hackers, freelancers, and aspiring entrepreneurs can build, price, launch, and grow AI software products that generate recurring revenue in today's rapidly evolving digital economy. The rise of artificial intelligence has changed the rules of software entrepreneurship. Tasks that once required large teams can now be automated by AI agents, workflows, and powerful language models. This creates an unprecedented opportunity for one-person businesses to compete, innovate, and win. But technology alone doesn't create a successful business. You need the right idea, the right market, the right pricing strategy, and a clear path to acquiring customers. That's exactly what you'll learn inside this book. You'll discover how to: - Find profitable AI Micro-SaaS opportunities before writing a single line of code - Validate customer demand and avoid building products nobody wants - Design AI-powered solutions that solve real business problems - Build lean MVPs quickly and efficiently - Create effective AI agents and automation systems - Choose the best AI tools, APIs, and infrastructure for your business - Develop pricing models that maximize revenue and customer retention - Build trust through better user experience, security, and transparency - Attract your first paying customers without a huge marketing budget - Create repeatable sales systems as a solo founder - Automate operations and scale without growing a large team - Transform side projects into sustainable, long-term businesses - Prepare your Micro-SaaS for expansion, acquisition, or a portfolio strategy This isn't a book about becoming the next billion-dollar startup founder. It's about creating freedom, ownership, and income through practical AI entrepreneurship. Along the way, I'll share lessons, frameworks, and real-world strategies designed specifically for solo builders who want results without unnecessary complexity. Whether you're a software developer, indie hacker, freelancer, consultant, or tech enthusiast looking to capitalize on the AI revolution, this book provides a step-by-step roadmap for turning ideas into profitable software products. The future belongs to creators who can move fast, solve meaningful problems, and leverage AI intelligently.You don't need a massive team.You don't need venture capital.You don't need permission.You just need a problem worth solving and the willingness to start.Your first profitable AI Micro-SaaS could be closer than you think. Start building today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Paperback. Condizione: new. Paperback. If you think clinical trials are slow, expensive, and complicated, you're absolutely right. For decades, drug development has struggled with patient recruitment delays, data silos, trial failures, and rising costs. But what if artificial intelligence could help change the game? In AI in Clinical Trials: Accelerating Drug Development with Machine Learning and Synthetic Data, I take you on a practical and engaging journey through the technologies transforming modern clinical research. Whether you're a healthcare professional, pharmaceutical leader, researcher, data scientist, student, or simply curious about the future of medicine, this book will help you understand how AI is reshaping every stage of the clinical trial process. Don't worry-this isn't one of those books that requires a PhD, three monitors, and a gallon of coffee to understand. I've broken down complex concepts into clear, relatable insights with real-world applications and plenty of practical examples. Inside this book, you'll discover: - How machine learning is accelerating clinical trial design and execution - The growing role of synthetic data in healthcare innovation and privacy protection - AI-powered strategies for patient recruitment, enrollment, and retention - Methods for improving diversity, inclusion, and representation in clinical research - Predictive analytics techniques that help identify risks before they become costly failures - The rise of decentralized clinical trials, digital biomarkers, and remote monitoring - How synthetic control arms and virtual trials are changing traditional study models - Regulatory, ethical, and legal challenges surrounding AI-driven healthcare decisions - Best practices for implementing AI solutions within pharmaceutical and biotech organizations - Emerging trends that could redefine drug development in the coming decade The future of clinical research isn't about replacing scientists, physicians, or clinical teams with algorithms. It's about giving them smarter tools, better data, and faster pathways to life-changing discoveries. AI is becoming the ultimate research assistant-minus the coffee breaks and office gossip. As healthcare systems generate more data than ever before, organizations that understand how to harness machine learning and synthetic data will gain a significant advantage in developing safer, more effective therapies. The question is no longer whether AI will influence clinical trials. The question is how quickly the industry can adapt. If you're ready to explore the intersection of artificial intelligence, machine learning, synthetic data, clinical research, and drug development, this book will provide the knowledge, strategies, and inspiration to help you navigate one of the most exciting transformations in modern healthcare. The future of clinical trials has arrived. Let's discover it together. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. What happens when AI agents stop being simple tools and start making decisions, communicating with other agents, accessing sensitive data, and acting on your behalf?A lot of amazing things.Also, a lot of terrifying things.That's exactly why I wrote Zero Trust for AI Agents: Identity, Auth, and Secure Protocols for Autonomous Systems.As organizations race to deploy autonomous AI systems, multi-agent architectures, and intelligent workflows, security can no longer be treated as an afterthought. The old approach of "trust first, verify later" is about as effective as giving your house keys to a stranger because they seem nice. In this book, I'll guide you through the modern security principles needed to protect AI agents operating in increasingly complex digital environments. Using a practical, engaging, and sometimes humorous approach, we'll explore how Zero Trust Architecture can help ensure that every agent, request, interaction, and decision is continuously verified. Whether you're a cybersecurity professional, AI engineer, system architect, technology leader, or simply curious about the future of secure autonomous systems, this book provides the knowledge and frameworks you need to build trustworthy AI ecosystems. Inside, you'll discover: - The fundamentals of Zero Trust Architecture for AI-driven environments - How to establish secure digital identities for autonomous agents - Modern authentication and authorization strategies for AI systems - Secure communication protocols for agent-to-agent interactions - Trust frameworks for multi-agent ecosystems - Data protection, privacy, and governance best practices - Threat modeling techniques designed specifically for AI agents - Defenses against identity spoofing, prompt injection, and privilege abuse - Monitoring, auditing, and incident response for autonomous environments - Strategies for scaling secure multi-agent systems - Governance, compliance, and ethical security considerations - Emerging standards, decentralized identity, and the future of AI security The reality is simple: AI agents are becoming powerful digital coworkers. And just like human coworkers, they shouldn't automatically receive unrestricted access to everything. Trust is valuable. Blind trust is expensive. My goal with this book is to help you understand how identity, authentication, authorization, encryption, monitoring, and secure protocols work together to create resilient AI systems that can operate safely at scale. If you're ready to move beyond security buzzwords and learn how to protect the next generation of intelligent systems, Zero Trust for AI Agents will give you the roadmap, practical insights, and confidence to build secure autonomous architectures for the AI-powered future. Because in a world full of autonomous agents, "trust but verify" is no longer enough. Verify everything. Trust intelligently. Build securely. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. Are you a CTO, SaaS founder, engineering leader, or product executive trying to make sense of the EU AI Act without drowning in legal jargon? Then welcome aboard. When the European Union introduced the AI Act, many technology leaders had the same reaction: "How bad can it be?" A few hundred pages later, they were questioning their life choices. I wrote this book to save you from that experience. The EU AI Act for SaaS Companies is a practical, CTO-focused guide that translates complex AI regulations into clear, actionable strategies for modern software businesses. Instead of legal theory and endless compliance buzzwords, you'll learn how to evaluate your AI systems, classify risks, build governance frameworks, prepare technical documentation, and navigate compliance requirements with confidence. Whether you're developing AI-powered SaaS products, integrating third-party models, deploying machine learning features, or preparing for future audits, this book helps you understand exactly what matters-and what doesn't. Inside, you'll learn how to: - Determine whether your SaaS products fall under the EU AI Act- Understand the risk-based classification framework- Identify prohibited, limited-risk, and high-risk AI systems- Build an effective AI governance and compliance program- Create AI inventories and documentation that regulators expect- Implement transparency, accountability, and monitoring processes- Manage data governance, cybersecurity, and quality requirements- Navigate conformity assessments and CE marking obligations- Handle compliance challenges involving foundation models and GPAI systems- Evaluate vendors and manage AI supply chain risks- Prepare for enforcement actions, audits, and regulatory scrutiny- Develop a long-term AI compliance strategy without slowing innovation This book is designed for busy technology professionals who need practical answers, not legal lectures. You'll find real-world guidance, implementation frameworks, risk assessment approaches, and compliance strategies that can be applied immediately inside SaaS organizations of any size. The goal isn't just to help you avoid fines. It's to help you build trustworthy AI products, strengthen customer confidence, reduce regulatory risk, and create a competitive advantage in an increasingly regulated market. Because the future of AI belongs to companies that can innovate fast and stay compliant at the same time. If you're ready to transform the EU AI Act from a source of confusion into a strategic business advantage, this guide will show you how. Written by Auren Veykor. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. Artificial Intelligence is changing business at lightning speed. Autonomous systems are making decisions, managing operations, analyzing risks, and influencing outcomes in ways that seemed impossible just a few years ago. Exciting? Absolutely. Risk-free? Not a chance. As organizations race to adopt AI, a critical question emerges: Who is responsible when autonomous systems make mistakes? In The Chief Risk Officer's Guide to AI, I take you on a practical and engaging journey through the complex world of AI liability, insurance, governance, cybersecurity, ethics, and safety frameworks. Whether you're a Chief Risk Officer, risk manager, compliance officer, executive leader, board member, legal professional, insurer, or technology strategist, this book will help you navigate the challenges and opportunities of the AI era with confidence. Let's be honest. When an AI system causes financial loss, regulatory violations, operational disruption, or reputational damage, nobody gets away with saying, "The algorithm made the decision." Regulators, customers, investors, and courts expect accountability. Understanding that accountability is now a business necessity. This book cuts through the hype and jargon to deliver practical strategies for identifying, assessing, and managing AI-related risks before they become costly problems. Inside, you'll learn: - How autonomous systems are transforming enterprise risk management- The legal foundations of AI liability and organizational accountability- Proven AI governance frameworks for responsible deployment- Emerging insurance solutions designed for AI-driven risks- Risk assessment methodologies tailored for autonomous systems- Safety engineering practices that improve reliability and resilience- How to defend against AI-specific cybersecurity threats- Strategies for reducing bias, increasing transparency, and building trust- Effective incident response plans for AI failures and crises- Methods for integrating AI risks into enterprise-wide governance programs- Future trends shaping the next generation of AI regulation and insurance This isn't a book about slowing innovation. It's about enabling innovation responsibly. The organizations that succeed in the age of artificial intelligence won't be those that avoid risk altogether. They'll be the ones that understand it, manage it, and build systems capable of adapting to an increasingly autonomous world. If you're responsible for protecting your organization while supporting growth and innovation, this guide will provide the tools, frameworks, and insights needed to make informed decisions in an AI-powered future. Because the smartest AI strategy isn't just about building intelligent systems-it's about building systems you can trust. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…