Data as the new oil, and how data-rich industries such as financial services can tap into their noisy liquid gold. A recent in-depth Accenture study addresses the challenges for financial services on the road to AI adoption, especially cultural and how to become comfortable with the robustness of modeling techniques. Access the full report on …
Accenture: Challenges for Financial Services in ML/AI Adoption Read More »
Stanford HAI and the McCoy Family Center for Ethics in Society last week co-hosted a discussion between Professor Li, the Co-Director for the Stanford Institute for Human-Centered AI, and Professor Harari, best-selling author and Professor of History at Hebrew University. Here is a summary of the 90-minute discussion around AI for Humanity.
Most of the bigger accounting, consulting, advisory and research houses have started to focus their attention on how AI, ML, big data and predictive analytics are changing investment management, for productivity, automation, distribution, and investing. Here are few of the good recent ones for you to review: McKinsey: Advanced analytics in asset management: Beyond the …
About a year and a half ago, Jonathan Wilmot, Credit Suisse’s Chief Global Strategist and Head of Macro Research after over 30 years with the firm, took the data science department and started his own AI investment boutique, WilmotML – as in Machine Learning. Aric Whitewood, CS’s Head of Data Science for seven years, left …