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Creating Value With Artificial Intelligence

Lessons Learned From 10 Yrs Of Building AI Products And Overcoming Data, Adoption, And Engineering Challenges

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This book bridges the gap between the commoner's world and the AI technical world. This easy read book is suitable for anyone who wants to dig deeper into the practical aspects and explore the value of AI and build intelligent products for real-world use cases. You will learn about:- Where can AI or intelligent machines add Value?- What real-world problems can be solved and what problems are harder to solve using existing AI algorithms,- A brief explanation of the most applicable algorithms and for which use cases they are most suitable,- How to engineer and architect AI systems, - How to overcome some of the major challenges with gathering the data, developing the product, and making users adopt the product. The above steps are explained through use cases taken from banking, insurance, energy, sales, healthcare, and other sectors. Almost all the knowledge and use cases shared in this book have been gained during my many years (almost 10 years actually) spent working and researching various AI-related products and are based primarily on my personal experiences. However, this is not a course book on Artificial Intelligence (AI), or a comprehensive literature review on AI or its use cases

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Creating Value With Artificial Intelligence, Rudradeb Mitra

Language
Released
2018
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Title
Creating Value With Artificial Intelligence
Subtitle
Lessons Learned From 10 Yrs Of Building AI Products And Overcoming Data, Adoption, And Engineering Challenges
Language
English
Released
2018
Format
Paperback
Pages
116
ISBN10
1720161313
ISBN13
9781720161318
Series
Description
This book bridges the gap between the commoner's world and the AI technical world. This easy read book is suitable for anyone who wants to dig deeper into the practical aspects and explore the value of AI and build intelligent products for real-world use cases. You will learn about:- Where can AI or intelligent machines add Value?- What real-world problems can be solved and what problems are harder to solve using existing AI algorithms,- A brief explanation of the most applicable algorithms and for which use cases they are most suitable,- How to engineer and architect AI systems, - How to overcome some of the major challenges with gathering the data, developing the product, and making users adopt the product. The above steps are explained through use cases taken from banking, insurance, energy, sales, healthcare, and other sectors. Almost all the knowledge and use cases shared in this book have been gained during my many years (almost 10 years actually) spent working and researching various AI-related products and are based primarily on my personal experiences. However, this is not a course book on Artificial Intelligence (AI), or a comprehensive literature review on AI or its use cases