Building AI-Powered Products

Building AI-Powered Products
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Publisher :
Total Pages : 0
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ISBN-10 : 1098152700
ISBN-13 : 9781098152703
Rating : 4/5 (00 Downloads)

Book Synopsis Building AI-Powered Products by : Marily Nika

Download or read book Building AI-Powered Products written by Marily Nika and published by . This book was released on 2024-12-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade Artificial Intelligence has become ubiquitous, driving increasingly complex and consequential decisions like credit approvals, college admissions, courtroom bail decisions, early diagnosis of disease and so on. AI is no longer science fiction or something that we only see in the movies. It is real, and it's everywhere. These consequential decisions are happening at an unprecedented scale and tech companies and startups are launching new products that are changing the way people work and impact their lives in so many ways. This book is a comprehensive resource for product managers looking to leverage artificial intelligence in their products. Written by Marily Nika, an expert in the field, this book provides a clear and actionable framework for identifying opportunities and building AI-powered products that meet the needs of users and drive business growth. From understanding the basics of AI and machine learning, to identifying the right use cases and building a team, this book is an essential guide for product managers looking to stay ahead of the curve in the fast-moving world of AI. Readers do not need a technical background to thrive as a Product Manager leveraging AI. Marily will expertly guide the readers through the most popular use cases that AI can solve for, and describe which technologies can be leveraged for each use case. Readers will have tangible takeaways and they will understand the skillset they will need throughout the AI product lifecycle, as well as how to come up with AI-enabled ideas, how to create effective roadmaps for the products they are building and how to measure the success of an AI product. Moreover, readers will grasp the diverse skillset and tools that AI product managers need in order to thrive and effectively partner with scientists and engineers.


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