In this NYSE Live interview, Alex Ratner, CEO of Snorkel AI, discusses the company's recent Series E funding round, its role in the AI ecosystem, and the growing importance of data in developing and evaluating advanced artificial intelligence systems.

Ratner explains that Snorkel AI helps organizations build datasets used to train, evaluate, and align AI models. He discusses how data quality influences AI performance and why effective evaluation frameworks are critical as models become more capable and are increasingly deployed across business and operational environments.

A major focus of the conversation is how the company plans to utilize its latest funding. Ratner describes opportunities in areas including biology, physical AI, enterprise AI, and multimodal technologies involving images and video. He shares his perspective on the growing demand for specialized AI systems tailored to specific industries, organizations, and use cases.

The interview also explores the concept of safe and productive AI deployment. Ratner discusses the importance of measurement, benchmarking, and model evaluation, explaining how organizations can better understand where AI systems perform effectively and where limitations remain. He highlights the role that training data plays in shaping model behavior and supporting more reliable outcomes.

Another key topic is Snorkel AI's Open Benchmark Grants initiative, which supports researchers and organizations working to advance AI measurement and evaluation. Ratner explains why open collaboration among academic institutions, industry participants, and the broader research community is important for understanding AI progress and addressing emerging challenges.

Throughout the discussion, Ratner shares insights into frontier AI research, enterprise adoption, data-centric AI development, model alignment, and the growing need for organizations to develop and manage specialized AI systems.

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