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Building AI-Powered Financial Products.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Dey, Abhiji.
Contributor:
Shanmuganathan, Srinivasa.
Martínez, David Roldán.
Language:
English
Subjects (All):
Artificial intelligence--Financial applications.
Artificial intelligence.
Financial services industry--Technological innovations.
Financial services industry.
Physical Description:
1 online resource
Production:
Packt Publishing 2026
Summary:
Apply generative AI, AI agents, LLMs, and proven frameworks to build trustworthy, scalable FinTech products across payments, lending, digital banking, insurance, and wealth management Key Features Master AI-first product management with real-world case studies, templates, and frameworks Integrate generative AI and LLMs into financial products while ensuring trust and compliance Learn from real FinTech successes and failures in payments, lending, and banking Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Book Description In today's financial product landscape, AI is no longer optional; it is non-negotiable. AI is not here to replace product managers and FinTech professionals, but to enhance their skills and amplify their impact. As the industry moves beyond traditional apps into AI-driven platforms, Building AI-Powered Financial Products is the practical guide for everyone building in this space. Unlike financial management books that lean heavily on theory, this book delivers actionable, real-world insights. Each chapter is grounded in real-world scenarios, including a FinTech startup case study that demonstrates frameworks and best practices in action. For financial professionals looking to harness generative AI and LLMs, this book offers the practical tools and templates needed to innovate confidently within regulatory boundaries. By the end, you'll be equipped to design and scale AI-driven financial products, strengthening your position as a forward-thinking product and FinTech leader in this fast-moving landscape shaped by generative AI. *Email sign-up and proof of purchase required What you will learn Design, launch, and scale AI-powered financial products Integrate generative AI and LLMs into FinTech products Navigate AI governance, regulation, and compliance Balance customer-centric design with monetization models Learn from FinTech success and failure stories Apply AI-first product frameworks to scale products Discover how AI agents will reshape financial services Who this book is for This book is for product managers, engineers, innovation leads, entrepreneurs, and professionals across financial services and technology who aim to become AI-driven leaders in product innovation. Written for professionals involved in building digital products, it shows how generative AI can be used to improve customer experiences and unlock new growth opportunities across the financial ecosystem. Working experience with software products and digital platforms is helpful, but no deep expertise in AI or finance is required -- key ideas are explained with clear context.
Contents:
Table of Contents The New Product Manager in FinTech – First Principles Thinking Data, Identity, and Trust as Product Building Blocks AI and Regulation – Turning Compliance into a Product Advantage Payments: Building the Infrastructure of Invisible Money AI-Powered Lending: From Credit Scores to Credit Intelligence Digital Banking: Building Platform-First Financial Experiences WealthTech: Personalizing Investments with AI Agents RegTech: Turning Compliance Into Scalable Products InsurTech: Building Intelligent, Trustworthy Insurance Products GenAI for FinTech Product Builders: Turning Capabilities into Trustworthy Products AI-Native Product Roadmaps: Designing Discovery to Scale Scaling Teams and Governing Responsible Autonomy Vertical AI Agents: AI Products That Serve Financial Goals Autonomously Trust, Safety, and Compliance in Agentic Financial Products Productizing and Scaling Financial Agents.
Notes:
OCLC-licensed vendor bibliographic record.
ISBN:
9781806388950
OCLC:
1601136795

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