Название: The Latest Research: AI and Machine Learning Автор: Harvard Business Review
Издательство: Harvard Business School Publishing
Год: 2018
Страниц: 155
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Artificial intelligence (AI) and Machine Learning (ML) may soon drive a massive reshaping of the economy and society. But what impact is AI already making in the workplace? Is it living up to the hype? And what should your company be doing right now to ensure it is poised for success? In this collection, we’ve selected some of HBR’s most important research, analysis, and case studies on AI and Machine Learning from the past two years to help you understand what you and your colleagues need to know about machine intelligence, now. The first section, Understanding AI and Machine Learning, explains the current business potential of AI, helps you identify opportunities in your organization, and provides an inside look at how leaders in the field of AI are deploying the technology in their own companies. The next section, How AI Is Being Used Now, presents current uses of AI ranging from back-office processes in health care to research on board selection to out-of-the-box marketing products for automotive retail. Finally, The Near Future looks ahead to what’s coming next in AI, with our authors predicting that we’ll see new ways of collaborating with machines and increasing automation in more industries and job functions.
The most important thing to understand about ML is that it represents a fundamentally different approach to creating software: The machine learns from examples, rather than being explicitly programmed for a particular outcome. This is an important break from previous practice. For most of the past 50 years, advances in information technology and its applications have focused on codifying existing knowledge and procedures and embedding them in machines. Indeed, the term "coding" denotes the painstaking process of transferring knowledge from developers' heads into a form that machines can understand and execute. This approach has a fundamental weakness: Much of the knowledge we all have is tacit, meaning that we can't fully explain it. It’s nearly impossible for us to write down instructions that would enable another person to learn how to ride a bike or to recognize a friend's face.
The Latest Research: AI and Machine Learning provides you with today’s essential thinking on machine intelligence in business. Use it to kick off urgent conversations about how to implement AI initiatives in your organization. At the end of each article, you’ll find discussion questions to share with your team and help you apply what you’ve learned across your company.
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