9798994345702 - Agentic AI in Law and Finance: Navigating a New Era of Autonomous Systems di Bommarito, Michael; Katz, Daniel; Bommarito, Jillian (11 risultati)

Condizione: New.

Condizione: New.

Paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. The practical guide to AI agent deployment in regulated industries-from the researchers and industry experts who proved GPT-4 could pass the bar exam. If you're evaluating AI agents for legal work, financial services, or compliance, you need more than vendor demos. You need a framework for understanding what these systems can actually do-and what it takes to deploy them responsibly. AGENTIC AI IN LAW AND FINANCE delivers exactly that. Drawing on seven decades of AI research, the authors-who co-founded LexPredict, demonstrated GPT-4's bar exam capabilities, and were named among the top 20 legal market shapers by the Financial Times-provide a rigorous yet accessible framework for professionals in regulated industries. What you'll learn: How to evaluate AI agent claims and separate genuine capability from marketing hypeDesign patterns for building reliable agents: triggers, perception, action, memory, planning, and terminationGovernance frameworks that satisfy non-delegable duties in legal and financial settingsEscalation and oversight controls for autonomous systems in productionRisk assessment criteria for agentic AI procurement decisions Who this book is for: General counsel and legal operations teams evaluating AI tools. Compliance officers developing AI governance policies. Technology leaders making build-vs-buy decisions. Risk managers assessing autonomous systems. Regulators seeking to understand agentic AI. "A clear, practical framework for the legal and compliance professionals who actually have to make AI deployment decisions." This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. The practical guide to AI agent deployment in regulated industries-from the researchers and industry experts who proved GPT-4 could pass the bar exam. If you're evaluating AI agents for legal work, financial services, or compliance, you need more than vendor demos. You need a framework for understanding what these systems can actually do-and what it takes to deploy them responsibly. AGENTIC AI IN LAW AND FINANCE delivers exactly that. Drawing on seven decades of AI research, the authors-who co-founded LexPredict, demonstrated GPT-4's bar exam capabilities, and were named among the top 20 legal market shapers by the Financial Times-provide a rigorous yet accessible framework for professionals in regulated industries. What you'll learn: How to evaluate AI agent claims and separate genuine capability from marketing hypeDesign patterns for building reliable agents: triggers, perception, action, memory, planning, and terminationGovernance frameworks that satisfy non-delegable duties in legal and financial settingsEscalation and oversight controls for autonomous systems in productionRisk assessment criteria for agentic AI procurement decisions Who this book is for: General counsel and legal operations teams evaluating AI tools. Compliance officers developing AI governance policies. Technology leaders making build-vs-buy decisions. Risk managers assessing autonomous systems. Regulators seeking to understand agentic AI. "A clear, practical framework for the legal and compliance professionals who actually have to make AI deployment decisions." This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.