In this 2-part episode, we delve into 5 major AI / ML models and 40+ associated keywords, running through the merits and differences between those models, the drawbacks from each, and use cases in applying these models to alpha generation and investing. We also cover which areas may be most ripe for further development and adoption within the industry. Peng Cheng, Head of Big Data and AI Strategies within J.P. Morgan’s Research division, and Emma Wu, a member of the same team, are in discussion with Eloise Goulder, Head of the Data Assets & Alpha Group. Websites referenced throughout this episode: https://arxiv.org/ https://www.ssrn.com/index.cfm/en/ https://www.kaggle.com/ https://developers.google.com/machine-learning/glossary This episode was recorded on November 30, 2023. The views expressed in this podcast may not necessarily reflect the views of J.P. Morgan Chase & Co and its affiliates (together “J.P. Morgan”), they are not the product of J.P. Morgan’s Research Department and do not constitute a recommendation, advice, or an offer or a solicitation to buy or sell any security or financial instrument. This podcast is intended for institutional and professional investors only and is not intended for retail investor use, it is provided for information purposes only. Referenced products and services in this podcast may not be suitable for you and may not be available in all jurisdictions. J.P. Morgan may make markets and trade as principal in securities and other asset classes and financial products that may have been discussed. For additional disclaimers and regulatory disclosures, please visit: www.jpmorgan.com/disclosures/salesandtradingdisclaimer. For the avoidance of doubt, opinions expressed by any external speakers are the personal views of those speakers and do not represent the views of J.P. Morgan.

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“What did the council decide on item 42?” — answered with the speaker and the moment.