In today's data-driven landscape, optimizing AI data processes isn’t a nice-to-have—it’s a strategic imperative. Despite mounting pressure for enterprises to leverage and derive business value from AI, data scientists and engineers are bogged down in data preparation and deployment, reducing their ability to scale AI model development. In this session, discover valuable insights and practical hands-on use cases that show how enterprises can overcome their data-related challenges and help their data scientists and engineers harness the full potential of AI.
talk-data.com
Speaker
Razi Raziuddin
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talks
Razi is the co-founder and CEO of FeatureByte, a Copilot for AI Data. Razi brings 20 years of analytics and growth experience to FeatureByte, as an executive at two unicorn startups. He was the first business hire at DataRobot, helping scale the company from 10 to 1,000 employees in under 6 years. As SVP of AI Services for DataRobot, Razi helped clients build and execute their AI strategies with an unrelenting focus on business outcomes. At Netezza, an IBM company, Razi ran Product Marketing and Regional Sales, bringing the most successful Data Warehousing appliance to the global market. Razi received his MBA from Cornell University and his MS in Computer Engineering from Syracuse University.
Bio from: Data Universe 2024
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