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Applied Artificial Intelligence: A Handbook For Business Leaders Paperback – April 30, 2018
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- How do I distinguish true value from AI hype?
- What are the best business use cases for AI established so far?
- How do I identify the best business case for AI adoption and evaluate opportunities?
- Should I build or buy an AI platform?
- How do I find and recruit top AI talent for my enterprise?
- How will bringing AI into my business increase revenue or decrease costs?
- How can I facilitate AI adoption within my company?
- Print length246 pages
- LanguageEnglish
- Publication dateApril 30, 2018
- Dimensions5.5 x 0.56 x 8.5 inches
- ISBN-100998289027
- ISBN-13978-0998289021
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Editorial Reviews
Review
"This book made me realize how little I actually knew about AI. Which is embarrassing because I live in the Silicon Valley which is AI Central."Karen Cheng (Amazon Verified Review) "This is a fantastic introduction for people trying to make sense of this emerging field, especially with the goal of applying it to their business endeavors. The authors have made a complex topic accessible, makes for a great reading on a plane flight to your next meeting."Amit Garg (Amazon Verified Review)
"Amazing book that gets you excited about applied AI! The book does not overwhelm you with the technicalities of AI but educates you on how to think, be creative and leverage AI in projects. The book is easy to digest, fun to read and really get you excited about AI! MUST READ for anyone new to AI!"Lucy Y (Amazon Verified Review)
Product details
- Publisher : TOPBOTS (April 30, 2018)
- Language : English
- Paperback : 246 pages
- ISBN-10 : 0998289027
- ISBN-13 : 978-0998289021
- Item Weight : 10.2 ounces
- Dimensions : 5.5 x 0.56 x 8.5 inches
- Best Sellers Rank: #318,329 in Books (See Top 100 in Books)
- Customer Reviews:
About the authors

Marlene Jia is a Founder of TOPBOTS, a digital publication and marketing firm focused on the strategy, design and marketing of automation technologies. Marlene launched and scaled go-to-market teams at multiple high-growth startups helping them reach their funding and exit goals. She graduated from Northwestern University for undergraduate and is committed to entrepreneurship, collaborative leadership, and technology. To learn more, visit www.topbots.com.

Mariya Yao is the Chief Technology Officer of Metamaven, an AI company automating revenue growth for global companies, and Editor-In-Chief of TOPOTS, the largest publication and community for enterprise AI professionals.

Adelyn is a leader in the growth and technology sector who is passionate about the intersections of marketing, automation, and the future of work. She is recognized as a top influencer in marketing and artificial intelligence (AI) by publications including Forbes, Entrepreneur, Inc., Wired, and IBM Watson. She has led growth efforts at Amazon (Quidsi), Eventbrite, TOPBOTS, and Nextdoor. She is a marketing advisor to SignalFire’s portfolio of companies and a mentor to startups incubated at NYU Tandon Future Labs and IBM’s AI XPRIZE. She is an internationally acclaimed speaker at conferences such as SXSW, CES, Inbound, MarTech, DLD, and more. Adelyn graduated from Harvard College and received an MBA from Harvard Business School.
Customer reviews
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Learn more how customers reviews work on AmazonReviewed in the United States on July 6, 2018
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Top reviews from the United States
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Whilst I acknowledge that these are very important to create the ecosystem needed to drive AI change, I found the advice quite basic 101 eg. Be sure to recruit someone with the right skills as this will have an impact on your outcomes.
Whilst the book was a good attempt I found the result somewhat lacking and left me with a few holes eg. Since agility is such a driving force in organisations, I found the section on delivering AI using agile techniques quite lite. I refer to process agility here not business, structural and strategic agility.
That’s said I don’t think there are too many use cases available (besides companies like Uber’s Michaelangelo, Google etc) that have made a success of thinking through and scaling AI within their organisations in an agile manner. I therefore found the MLaaS section and its surrounding commentary the most valuable.
As more and more use cases become available, and Mariya and Adelyne continue to research, I suspect the next revised version will be much more powerful. This version is a good start.
Reviewed in the United States 🇺🇸 on July 6, 2018
Top reviews from other countries
If you understand the basics ( I mean very basic general content you can acquire reading some articles) look somewhere else).
Covers the entire landscape -- the essence, devising a strategy
and the usefulness to enterprise functions -- in just about 200 pages.
Un-put-downable !!









