EAN: 9798868818790

CHAKRABARTY JAYDEEP THE VALUE VECTOR

Learn how to bring Generative AI applications to life  from conception to production  ensuring
they deliver true business value. Follow Dr. Anya’s story as she implements AI in day-to-day
business solutions  immersing you in the real challenges of AI-based product development and
deployment. Through her journey and notes  you will experience a wide range of challenges and
solutions firsthand  demonstrating how AI can be translated into compelling business cases 
efficient technical architectures  and innovative applications. The book begins with you
understanding the AI Value Compass – a strategic framework that will provide you with a
structure for AI implementation. It then dives into AI-led innovation and how you can extract
the most valuable and interesting ideas from the waves of creative thinking that emerges from
your organization. It also addresses AI literacy  helping you guide your teams in using AI to
tackle the most pressing business challenges.  Next  you will find a roadmap for creating a
Proof of Concept for your AI application that don’t become outdated before review  showing how
to build solutions that deliver value rapidly and efficiently. The journey continues as Dr.
Anya guides you from a POC to production  teaching how to scale Generative AI applications for
enterprise deployment. The book then tackles governance  security  and ethics - all of which
are crucial aspects for implementing AI responsibly and sustainably. The final chapter explores
the next wave of AI  introducing you to the era of AI agents.    This book  by providing a
comprehensive guide that combines practical advice  ethical considerations  and an incredibly
engaging narrative  aims to equip you with the knowledge and tools you will need to
successfully implement Generative AI projects that deliver real business value.     What You
Will Learn:     How to identify and prioritize valuable generative AI use cases that help
organizations create a path to value.   Techniques for developing effective POCs and
transitioning to full-scale production   including architectural considerations for enterprise
readiness.   Essential ethical considerations in AI-based solution development and strategies
to prevent misuse.   Practical steps and considerations for selecting  fine-tuning and
integrating AI models  including avoiding common pitfalls.       Who is this book for:
Professionals involved in AI product development and deployment  including developers 
architects  project managers  business analysts  and CXOs.

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