Podcast: AI and Data Science in Financial Markets with Iro Tasitsiomi
Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of the AI industry through their work or research.
In this episode, we are joined by Argyro (Iro) Tasitsiomi, Head of Investments of Data Science at T. Rowe Price. Iro has extensive experience in AI and data science within the financial markets. Early in her career, Iro held significant roles focusing on quantitative research & risk management, where she developed advanced trading strategies and econometric forecasting tools.
She joins us on the podcast to discuss her professional journey at leading financial institutions such as Goldman Sachs, BlackRock, Prudential, and T. Rowe Price, and explore how AI is transforming various aspects of financial markets.
She starts with an overview of earlier model techniques, such as time series, trading strategies, and risk modeling, before moving on to the advancements in financial modeling brought on by AI.
Iro also delves into the opportunities and risks of integrating AI into financial analysis and economic forecasting, and the impact of fake data and fake news on market stability.
Additionally, she covers the importance of quality data, the enduring value of human expertise, and emerging skills in the era of AI.
Start listening now to get the full impact of Iro’s extensive knowledge and expertise and don’t forget to subscribe to ODSC’s Ai X Podcast to ensure you never miss an episode. Finally, like what you hear? Leave a review or share it with a friend! You can listen on Spotify, Apple, and SoundCloud.
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In this episode of the ODSC Ai X Podcast, Iro Tasitsiomi joins us to discuss her career in finance and how AI is transforming various aspects of financial markets. We’ll discuss advancements in financial modeling, the opportunities and risks of integrating AI into financial analysis, and the impact of fake data on market stability. Additionally, we’ll cover the importance of quality data, the enduring value of human expertise, and emerging skills in the era of AI.
Originally posted on OpenDataScience.com
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