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Succeeding with AI : how to make AI work for your business /
Chock-full of illuminating examples that will dramatically improve your success with AI projects. Zarak Mahmud, Techflo Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too often, these AI projects focus on technology at...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico Audiom |
| Idioma: | Inglés |
| Publicado: |
[Shelter Island, New York] :
Manning Publications,
2020.
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| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 246 | 3 | |a Succeeding with artificial intelligence | |
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| 520 | |a Chock-full of illuminating examples that will dramatically improve your success with AI projects. Zarak Mahmud, Techflo Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too often, these AI projects focus on technology at the expense of actionable or tangible business results, resulting in scattershot results and wasted investment. Succeeding with AI sets out a blueprint for AI projects to ensure they are predictable, successful, and profitable. It's filled with practical techniques for running data science programs that ensure they're cost effective and focused on the right business goals. about the technology Succeeding with AI requires talent, tools, and money. So why do many well-funded, state-of-the-art projects fail to deliver meaningful business value? Because talent, tools, and money aren't enough: You also need to know how to ask the right questions. In this unique book, AI consultant Veljko Krunic reveals a tested process to start AI projects right, so you'll get the results you want. about the book Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This practical guide reveals secrets forged during the author's experience with dozens of startups, established businesses, and Fortune 500 giants that will help you establish meaningful, achievable goals. In it you'll master a repeatable process to maximize the return on data-scientist hours and learn to implement effectiveness metrics for keeping projects on track and resistant to calcification. what's inside Where to invest for maximum payoff How AI projects are different from other software projects Catching early warnings in time to correct course Exercises and examples based on real-world business dilemmas about the audience For project and business leadership, result-focused data scientists, and engineering teams. No AI knowledge required. about the author Veljko Krunic is a data science consultant, has a computer science PhD, and is a certified Six Sigma Master Black Belt. If you are starting a new AI project, put all odds on your side by reading this book. David Paccoud, Bioclinica A definitive resource for building an AI system idea ... and deploying it in production. Teresa Fontanella De Santis, Accenture Follow this book's advice, and you will find your organization "succeeding with AI"! James J. Byleckie, BH Enterprises NARRATED BY NATE COLITTO | ||
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