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Real World AI: A Practical Guide for Responsible Machine Learning
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About Real World AI: A Practical Guide For Responsible
Product Description How can you successfully deploy AI? When AI works, it’s nothing short of brilliant, helping companies make or save tremendous amounts of money while delighting customers on an unprecedented scale. When it fails, the results can be devastating. Most AI models never make it out of testing, but those failures aren’t random. This practical guide to deploying AI lays out a human-first, responsible approach that has seen more than three times the success rate when compared to the industry average. In Real World AI, Alyssa Simpson Rochwerger and Wilson Pang share dozens of AI stories from startups and global enterprises alike featuring personal experiences from people who have worked on global AI deployments that impact billions of people every day. AI for business doesn’t have to be overwhelming. Real World AI uses plain language to walk you through an AI approach that you can feel confident about—for your business and for your customers. Review "Real World AI is a call to arms for every AI practitioner. Rochwerger and Pang starkly remind us, with plenty of examples from Google, Uber, and others, that AI isn't a magical elixir that solves every problem, nor is it pixy dust you throw into a product. Thoughtfulness, iteration, and diverse teams are extraordinarily important for building AI products that serve everyone." -- Shalin Mantri , Group Product Manager, Google "Building an effective and responsible AI system, which drives strong ROI, is far from easy. But if companies want to thrive and remain competitive, they will need to find ways to be successful. There is really no alternative. But the good news is that this book provides a solid roadmap, which is backed up with real-world use cases and actionable advice." -- Tom Taulli , columnist, Forbes.com; author of Artificial Intelligence Basics " Real World AI is filled with practical, firsthand advice for business folks on how to be successful with machine learning technology." -- Rama Akkiraju , Fellow and CTO of AI Operations, IBM; IBM Master Inventor; Member, IBM Academy of Technology "In data sciences, there's an axiom that states that 'good data leads to good insights.' If this is true, then bad data will lead to bad insights. Over the next decade, businesses will spend billions on machine learning and artificial intelligence, and the quality of data will be key in ensuring these initiatives are successful. This book provides businesses with a way of assessing data and building a plan to ensure the highest levels of data quality." -- Zeus Kerravala , Principal Analyst, ZK Research "I can think of no more promising enabling technology than machine learning, yet this promise also comes along with real danger--to society, to customers, and to our employees and our businesses. Alyssa and Wilson's new book provides product teams and product leaders with a clear-eyed view of this powerful new tool." -- Marty Cagan , Partner, Silicon Valley Product Group "BLUF--bottom line up front--is a common acronym used in government, particularly in the defense and intelligence arena, to cut to the heart of a problem or situation, capture the options, and drive decision advantage. I use it often in my work each day as the one thing I want my audience to remember and act upon. BLUF: Real World AI is a must-read for both current AI practitioners as well as those interested in AI, precisely because it focuses on defining, understanding, and keeping top of mind the AI BPUF--the AI business problem up front. Building effective human-machine teaming and AI is fundamentally not about simply replacing humans--and to do it successfully requires everyone involved in an AI initiative to be more, not less, thoughtful in the problems we want AI to help solve. From developing an AI strategy, to clarifying success metrics, to data investments and the ethical considerations and potential missteps that can destroy an AI initiative, Real World AI dives i
