Scaling AI Innovation: Building the Future of Machine Learning with Stream Processing [Video]

In today’s fast-evolving tech landscape, the ability to process data in real time is crucial, particularly for artificial intelligence (AI) and machine learning (ML). At the heart of this revolution is Stream Processing, a technology that enables continuous, real-time data flow, essential for adapting to rapid changes in input, improving decision-making, and enhancing scalability. One of the leading innovators in this field is Nitin Gupta, an engineering leader at Meta, whose expertise has helped shape the future of Machine Learning. Leveraging years of experience at tech giants like Adobe, AWS, and Meta, Nitin is at the forefront of scaling Machine Learning systems to new heights.

From AIOps to AI Innovation: Nitin’s Career Rooted in Scalability

Nitin’s career trajectory highlights his unique ability to address the growing complexity of large-scale systems. Starting his journey at Adobe and AWS, Nitin quickly made a mark by contributing to large-scale systems, but it was his …