7th August, Hyderabad: The Analytics Convergence Summit 2024, organized jointly by the ISB Institute of Data Science (IIDS) and JPMorganChase, was held at the Indian School of Business (ISB) Hyderabad campus. The event gathered a diverse group of experts, industry leaders, and academics to explore the latest advancements in Analytics and Artificial Intelligence. Their expertise and enthusiasm energized the summit, fostering an atmosphere of innovation, collaboration, and idea exchange.

Analytics Convergence Summit_

The summit provided a platform to delve into critical topics such as generative AI, industry adoption of AI, video analytics, and ecosystem intelligence etc. In his welcome speech, the Executive Director of IIDS emphasized the summit’s role in fostering collaboration and innovation within the data analytics community.

“The Analytics Convergence Summit stands as a pivotal event where academia meets industry, propelling discussions on data analytics and its transformative potential. Our aim is to drive forward the discourse and foster meaningful connections,” remarked, Prof. Manish Gangwar, the Executive Director of IIDS.

Subba Perepa, Managing Director, JPMorganChase, delivered the keynote address, offering insights into the future of data and its implications across various sectors.

“Data is not just about numbers; it’s about deriving actionable insights that can drive progress and innovation. We must look to harness this power effectively for future advancements,” stated Subba Perepa.

The summit featured engaging panel discussions and workshops on a range of topics. These included the exploration of generative AI innovations and their applications, the risks and responsibilities associated with industry adoption of AI, advancements in Video Analytics, and the role of Ecosystem Intelligence in shaping industry practices. Additionally, attendees participated in a hands-on workshop focused on the applications of generative AI.

The Analytics Convergence Summit 2024 provided a significant opportunity for networking, learning, and collaboration- reinforcing its role as a key event in the data science and analytics calendar.

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