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Unlock the potential of AI in FinTech data management as we feature a riveting conversation with Tim Jennings, the global data practice leader at Synechron. Discover how high-quality data is crucial for AI applications, requiring not just precision and accuracy, but also alignment with specific purposes. Tim sheds light on the pitfalls of data coverage and bias, drawing from examples like Amazon's CV sifter, while exploring the revolutionary role of generative AI in organizing and utilizing previously untapped data sources.

Join us as we unpack the complexities of managing disparate data systems that lead to challenges such as duplication and siloed information within organizations. Learn about Synechron’s innovative use of AI and machine learning to navigate these hurdles, offering bespoke solutions for data discovery, predictive analytics, and anomaly detection. Our conversation underscores a holistic approach to data governance, architecture, and analytics, ensuring solutions are finely tuned to meet the unique requirements of each client.

Explore the concept of data products as a strategy for federated mastering, breaking down silos and aligning data strategies with business objectives. Delve into how AI technologies like knowledge graphs and large language models can scale these solutions within large enterprises. We also highlight the importance of bridging the gap between C-suite aspirations and operational realities, showing how incremental solutions to ground-level data issues can lead to broader organizational success. Conclude with insights into upcoming events that highlight the ongoing impact of data and technology in the industry.

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