New Research from the MIT-IBM Watson AI Lab Reveals How Work is Transforming IBM Research Blog

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Rapid advancements in the field of artificial intelligence (AI) are uniquely poised to transform entire occupations and industries, changing the way work will be done in the future. It is imperative to understand the extent and nature of the changes so that we can prepare today for the jobs of tomorrow. New empirical work from the MIT-IBM Watson AI Lab uncovers how jobs will transform as AI and new technologies continue to scale across business and industries. We created a novel dataset using machine learning techniques on 170 million U.S. job postings. The dataset and research, The Future of Work: How New Technologies Are Transforming Tasks, allow us to extract key insights into how AI is shaping the future of work.



IBM Watson & The Not So Distant Future of AI in Digital Marketing HubSpot Academy

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Ethics And Artificial Intelligence With IBM Watson's Rob High

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Listen to The Modern Customer Podcast with Rob High here. Artificial intelligence seems to be popping up everywhere, and it has the potential to change nearly everything we know about data and the customer experience. However, it also brings up new issues regarding ethics and privacy. One of the keys to keeping AI ethical is for it to be transparent, says Rob High, vice president and chief technology officer of IBM Watson. When customers interact with a chatbot, for example, they need to know they are communicating with a machine and not an actual human.


IBM's Watson is getting into ETF business as robot attack on stock market heats up

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Equbot, the Fund's sub-advisor, is a technology-based company focused on applying artificial intelligence to investment analyses. It is part of the IBM Global Entrepreneurs start-up roster. IBM already has a Watson effort for financial services more broadly, which includes a Watson analytical tool for wealth advisors and wealth management groups, and Watson applications for financial markets analysis. The filing says Equbot will use IBM's Watson AI to perform a fundamental analysis of U.S.-listed stocks and real estate investment trusts based on up to 10 years of historical data and then apply that analysis to recent economic and news data. "Each day, the Equbot Model ranks each company based on the probability of the company benefiting from current economic conditions, trends and world events and identifies approximately 30 to 70 companies with the greatest potential for appreciation and their corresponding weights, while maintaining volatility comparable to the broader U.S. equity market."