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High-quality data key to unlocking value from AI, GenAI: Snowflake AI head

Livemint · 1d

Companies looking to scale their artificial intelligence (AI) and generative AI (GenAI) capabilities must prioritize data readiness, governance, and model accuracy, according to Baris Gultekin, head of AI at Snowflake. Cloud data platforms like Snowflake help businesses consolidate and analyze data effectively, integrating data from various sources and improving governance, security, and productivity. Snowflake's platform allows companies to run AI models close to their data, avoiding complex transfers. The joint report by MIT Technology Review Insights and Snowflake emphasizes the need for high-quality data to power GenAI projects. The future of AI lies in autonomous agentic systems, which perform tasks with minimal human involvement. Snowflake is also working on addressing AI challenges like model hallucinations and highlighted the importance of nurturing relationships and understanding in the age of automation.