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."
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 believes 100% of jobs will eventually change due to artificial intelligence, and new empirical research released last October 30 from the MIT-IBM Watson AI Lab reveals how. The research, The Future of Work: How New Technologies Are Transforming Tasks, used advanced machine learning techniques to analyze 170 million online job postings in the United States between 2010 and 2017. It shows, in the early stages of AI adoption, how tasks of individual jobs are transforming and the impact on employment and wages. "As new technologies continue to scale within businesses and across industries, it is our responsibility as innovators to understand not only the business process implications, but also the societal impact," said Martin Fleming, vice president and chief economist of IBM. "To that end, this empirical research from the MIT-IBM Watson AI Lab sheds new light on how tasks are reorganizing between people and machines as a result of AI and new technologies."