1: The AI Anxiety vs The AI Opportunity

CMXtra: The Trading Podcast

Welcome to the first episode of CMXtra- The Capital Markets Exchange Podcast. Our first episode looks into AI and the trading desk. Is this finally moving from buzzword to a reality for traders? And if so, where should you start, how should you apply it, and what outcomes should you be looking for?
Join our special guests:

• David McClelland - Technology reporter and presenter, BBC presenter and transformation lead in financial services, media and telecoms
• Andrew Claeys - Head of Systematic Trading, Allspring Global Investments
• Iro Tasitsiomi - Head of Investments Data Science at T. Rowe Price
• David Foster - Co-Founder at Applied Data Science Partners and Author of "Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play"

Naturally, as the episode is about AI, we have let AI have a listen to our episode to do the hard work for us and write the episode synopsis:
In this episode, the hosts discuss the application of artificial intelligence (AI) in the trading desk and its potential to make trading more efficient. They explore the concept of generative AI and its ability to enrich, condense, and transform information. The guests highlight the importance of summarization and the challenges of ensuring accurate and complete summaries with generative AI. They also discuss the maturity of AI technology and the barriers to its implementation, as well as the regulatory challenges in using AI in regulated industries. The conversation explores the implementation of AI in the financial industry, specifically in buy-side trading desks. The guests discuss the need for experienced traders to analyze and build AI systems, the importance of customization and differentiation in the market, and the potential value propositions of incorporating AI into trading strategies. They also address the challenges of regulation and the impact of AI on the workforce. The conversation concludes with advice for traders looking to implement AI, including starting with small projects and focusing on the low-hanging fruit.