Roundup of ML forecasts and market estimates 2018

The list of linked sources at the end of the article alone is well worth a look.
Details: http://bit.ly/2F9kAYe

Sources of Market Data on Machine Learning:

• 2018 Outlook: Machine Learning and Artificial Intelligence, A Survey of 1,600+ Data Professionals. MEMSQL. (14 pp., PDF, no opt-in)
• Advice for applying Machine Learning, Andrew Ng, Stanford University. (30 pp., PDF, no opt-in)
• An Executive’s Guide to Machine Learning, McKinsey Quarterly. June 2015
• An Investors' Guide to Artificial Intelligence, J.P. Morgan. November 27, 2017 (110 pp., PDF, no opt-in)
• Artificial intelligence and machine learning in financial services Market developments and financial stability implications, Financial Stability Board. (45 pp., PDF, no opt-in)
• Big Data and AI Strategies Machine Learning and Alternative Data Approach to Investing, J.P. Morgan. (280 pp., PDF. No opt-in).
• Google & MIT Technology Review study: Machine Learning: The New Proving Ground for Competitive Advantage (10 pp., PDF, no opt-in).
• Hitting the accelerator: the next generation of machine-learning chips, Deloitte. (6 pp., PDF, no opt-in).
• How Do Machines Learn? Algorithms are the Key to Machine Learning.Booz Allen Hamilton. (Infographic)
• IBM Predicts Demand For Data Scientists Will Soar 28% By 2020, Forbes. May 13, 2017
• Machine Learning At Amazon, Amazon Web Services (47 pp., PDF no opt-in).
• Machine Learning Evolution (infographic). PwC. April 17, 2017
• Machine learning: things are getting intense. Deloitte (6 pp., PDF. No opt-in)
• Machine Learning: The Power and Promise Of Computers That Learn By Example. The Royal Society’s Machine Learning Project (128 pp., PDF, no opt-in)
• McKinsey Global Institute Study, Artificial Intelligence, The Next Digital Frontier (80 pp., PDF, free, no opt-in).
• McKinsey's State Of Machine Learning And AI, 2017, Forbes, July 9, 2017.
• Predictions 2017: Artificial Intelligence Will Drive The Insights Revolution. Forrester, November 2, 2016 (9 pp., PDF, no opt-in).
• Risks And Rewards: Scenarios around the economic impact of machine learning, The Economist Intelligence Unit. (80 pp., PDF, no opt-in).
• Smartening up with Artificial Intelligence (AI) - What’s in it for Germany and its Industrial Sector? Digital/McKinsey & Company. (52 pp., PDF, no opt-in).
• So What Is Machine Learning Anyway?  Business Insider. Nov. 23, 2017
• The 10 Most Innovative Companies In AI/Machine Learning 2017, Wired.
• The Business Impact and Use Cases for Artificial Intelligence. Gartner (28 pp., PDF, no opt-in).
• The Build-Or-Buy Dilemma In AI, Boston Consulting Group. January 4, 2018.
• The Next Generation of Medicine: Artificial Intelligence and Machine Learning, TM Capital (25 pp., PDF, free, opt-in).
• The Roadmap to Enterprise AI, Rage Networks Brief based on Gartner research. (17 pp., PDF, no opt-in).
• Will You Embrace AI Fast Enough? AT Kearney. January 2018