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{ "item_title" : "Predictive AI in Financial Services", "item_author" : [" Kama Ibrahim "], "item_description" : "Predictive AI is all about learning from the past to make smarter decisions about the future. It studies patterns in historical data to forecast outcomes, and it's already reshaping how the financial services industry work. In fraud prevention, it's used to detect anomalies and flag suspicious activities before any harm occurs. In credit risks, it flags loans that might go bad. In customer retention, it's used to identify customers at risk of leaving. Marketers love it for recommending financial products or services you didn't even know you wanted. Pretty powerful, right? So, what's this book about? This guide is made for everyday business professionals, not techies. If you're working on AI strategy and governance, collaborating with data scientists and technical teams for AI implementation in financial services, or just curious how predictive AI can transform your business, this book speaks your language. It's especially helpful for:Folks working in business strategy, governance, or cross-functional AI projectsBusiness leads, analysts, consultants, and project managers supporting AI rolloutsAnyone excited to explore practical ways AI can drive innovationHere's what you'll pick up:What AI, Big Data, and Machine Learning actually do, and how they work together to predict what's coming nextHow to spot business problems that predictive AI can solveThe journey of turning an idea into a real predictive AI product, step by stepHow to evaluate predictive AI models and weave them into your business operationsRisks to watch out for (and how to stay ahead of them)Where bias creeps into predictive AI models, and what you can do to prevent itNow, if you're worried this book will drown you in math or complex algorithms, don't be. It's not here to make you a predictive analytics whiz. It's here to help you:Understand the value of predictive AI in financial servicesCollaborate with data scientists and tech teams effectivelyKeep predictive AI initiatives grounded in business goals and ethicsAssess performance, drive adoption, and bring predictive AI into daily workflowsIt's practical. It's approachable. It'll give you the confidence to ask the right questions, spot good opportunities, and lead with impact.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/829/758/9798297587328_b.jpg", "price_data" : { "retail_price" : "19.90", "online_price" : "19.90", "our_price" : "19.90", "club_price" : "19.90", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Predictive AI in Financial Services|Kama Ibrahim

Predictive AI in Financial Services : From Idea to Impact

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Overview

Predictive AI is all about learning from the past to make smarter decisions about the future. It studies patterns in historical data to forecast outcomes, and it's already reshaping how the financial services industry work. In fraud prevention, it's used to detect anomalies and flag suspicious activities before any harm occurs. In credit risks, it flags loans that might go bad. In customer retention, it's used to identify customers at risk of leaving. Marketers love it for recommending financial products or services you didn't even know you wanted. Pretty powerful, right? So, what's this book about? This guide is made for everyday business professionals, not techies. If you're working on AI strategy and governance, collaborating with data scientists and technical teams for AI implementation in financial services, or just curious how predictive AI can transform your business, this book speaks your language. It's especially helpful for:

  • Folks working in business strategy, governance, or cross-functional AI projects
  • Business leads, analysts, consultants, and project managers supporting AI rollouts
  • Anyone excited to explore practical ways AI can drive innovation

Here's what you'll pick up:
  • What AI, Big Data, and Machine Learning actually do, and how they work together to predict what's coming next
  • How to spot business problems that predictive AI can solve
  • The journey of turning an idea into a real predictive AI product, step by step
  • How to evaluate predictive AI models and weave them into your business operations
  • Risks to watch out for (and how to stay ahead of them)
  • Where bias creeps into predictive AI models, and what you can do to prevent it

Now, if you're worried this book will drown you in math or complex algorithms, don't be. It's not here to make you a predictive analytics whiz. It's here to help you:
  • Understand the value of predictive AI in financial services
  • Collaborate with data scientists and tech teams effectively
  • Keep predictive AI initiatives grounded in business goals and ethics
  • Assess performance, drive adoption, and bring predictive AI into daily workflows

It's practical. It's approachable. It'll give you the confidence to ask the right questions, spot good opportunities, and lead with impact.

This item is Non-Returnable

Details

  • ISBN-13: 9798297587328
  • ISBN-10: 9798297587328
  • Publisher: Independently Published
  • Publish Date: August 2025
  • Dimensions: 9 x 6 x 0.26 inches
  • Shipping Weight: 0.38 pounds
  • Page Count: 122

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