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    Inside Snowflake's Vision for the "AI Data Cloud": A Conversation with Head of AI, Baris Gultekin

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    Inside Snowflake's Vision for the "AI Data Cloud": A Conversation with Head of AI, Baris Gultekin

    Snowflake's objective is to make AI dependable, easy to use, and well-governed for businesses, presenting the firm as a facilitator of AI adoption and proving its concrete impact on cost savings and revenue growth.

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    At the Snowflake Summit 2024 in San Francisco, AIM Media House got the opportunity to personally learn about Snowflake's artificial intelligence (AI) strategy and products from Baris Gultekin, the company's Head of AI. The discussion focused on Snowflake's AI principles, new product releases, ethical AI practices, and the company's vision for the "AI Data Cloud."

    Snowflake's AI Principles: Easy, Efficient, and Trusted

    Gultekin stated three key concepts that define Snowflake's AI strategy: simplicity, efficiency, and trust. Trust is essential, since businesses entrust Snowflake with their most sensitive data. Snowflake wants to operate AI workloads safely inside its platform's security limits, while adhering to access rules and governance regulations.

    "For us, having governance at the core of it is really important, and that's what differentiates us," Baris stated. Snowflake provides tools to enable customers to build responsible AI systems with guardrails against issues like hate speech.

    Ease of use is achieved by bringing AI capabilities directly to where the data resides, eliminating complex pipelines and infrastructure management. "Everything works well together, and bringing AI next to the data achieves that," Gultekin explained.

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    About the author

    Anshika Mathews

    Anshika is the Global Media Lead for AIM Media House. She holds a keen interest in technology and related policy-making and its impact on society.

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