EPISODE · Jan 8, 2025 · 1H 5M
Machine Learning, AI Agents, and Autonomy // Egor Kraev // #282
from MLOps.community · host Demetrios
For three years, Egor has been bringing the power of AI to bear at Wise, across domains as varied as trading algorithms for Treasury, fraud detection, experiment analysis, causal inference, and, recently, the numerous applications unlocked by large language models. Open-source projects initiated and guided by Egor include wise-pizza, causaltune, and neural-lifetimes, with more on the way.Machine Learning, AI Agents, and Autonomy // MLOps Podcast #282 with Egor Kraev, Head of AI at Wise Plc.// AbstractDemetrios chats with Egor Kraev, principal AI scientist at Wise, about integrating large language models (LLMs) to enhance ML pipelines and humanize data interactions. Egor discusses his open-source MotleyCrew framework, career journey, and insights into AI's role in fintech, highlighting its potential to streamline operations and transform organizations.// BioEgor first learned mathematics in the Russian tradition, then continued his studies at ETH Zurich and the University of Maryland. Egor has been doing data science since the last century, including economic and human development data analysis for nonprofits in the US, the UK, and Ghana, and 10 years as a quant, solutions architect, and occasional trader at UBS, then Deutsche Bank. Following last decade's explosion in AI techniques, Egor became Head of AI at Mosaic Smart Data Ltd, and for the last four years has been bringing the power of AI to bear at Wise, in a variety of domains, from fraud detection to trading algorithms and causal inference for A/B testing and marketing. Egor has multiple side projects, such as RL for molecular optimization, GenAI for generating and solving high school math problems, and others. // MLOps Swag/Merchhttps://shop.mlops.community/// Related Linkshttps://github.com/transferwise/wise-pizzahttps://github.com/py-why/causaltunehttps://www.linkedin.com/posts/egorkraev_a-talk-on-experimentation-best-practices-activity-7092158531247755265-q0kt?utm_source=share&utm_medium=member_desktop --------------- ✌️Connect With Us ✌️ -------------Join our Slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunitySign up for the next meetup: https://go.mlops.community/registerCatch all episodes, blogs, newsletters, and more: https://mlops.community/Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/Connect with Egor on LinkedIn: https://www.linkedin.com/in/egorkraev/Timestamps:[00:00] Egor's preferred coffee[00:40] Takeaways[01:56] Swiss pirate party[04:08] Ghana Work and Wise[07:21] AI Bridge Unstructured Structured[12:40] AI in Wise Fintech[16:26] AI as Dag Node[19:38] Causal Inference with ML[25:35] Insight validation process[31:00] Agent UX and challenges[37:11] Monthly crew vision[41:00] Montley Crew Framework Abstraction[42:57] Causal tune[47:38] Wise email campaigns[50:29] Organizational structures in AI[53:19] AI uncertainty and hallucinations[55:08] Decentralized org structures[1:01:34] Permaculture and team synergy[1:03:29] Wrap up
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Machine Learning, AI Agents, and Autonomy // Egor Kraev // #282
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