The Data Standard

What does the future of AI look like? with Sarah Hoffman
Sarah Hoffman, VP, AI and Machine Learning Research at Fidelity Investments, sits down with TDS to explain how she thinks the future of AI will look.

Episode Summary

The intelligence demonstrated by machines is known as Artificial Intelligence. Artificial Intelligence has grown to be very popular in today’s world. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks. As technologies such as AI continue to grow, they will have a great impact on our quality of life. It’s but natural that everyone today wants to connect with AI technology somehow, may it be as an end-user or pursuing a career in Artificial Intelligence. Advances in artificial intelligence are likely to herald an unprecedented period of rapid innovation and technological change, which will fundamentally alter current industries and the economy. What is different to previous periods of technological progress is the speed at which these developments are happening and the extent to which they will shape markets around the world. How will they affect prosperity and inequality? How can AI be deployed for the greater good and to improve economic outcomes?

Meet The Host

Catherine Tao

Data scientist at The Data Standard

Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.

Meet The Guest

Sarah Hoffman

VP, AI and Machine Learning Research at Fidelity Investments

Machine Learning (ML)/Natural Language Processing (NLP) researcher, strategist, writer, and speaker, exploring the future of AI, including how to use AI ethically. Especially focused on making advanced technical concepts understandable by all. Previous experience growing and managing global ML teams. Passionate about improving client experience and efficiency by leveraging AI through internal development and strategic third-party partnerships.