- CEO Sridhar Ramaswamy emphasized Snowflake’s advantage of having a modest AI development budget and highlighted the innovation produced by discipline and scarcity in development.
- Technology vendors are integrating generative AI capabilities into various products to facilitate enterprise adoption, with Snowflake deploying models like Llama 3 and Reka’s Core multimodal LLM in its Cortex AI managed service.
- Snowflake acquired TruEra to enhance its AI capabilities, leading to increased spending on AI-related costs, including hiring new employees and investing in GPUs.
- Ramaswamy mentioned the company’s focus on developing enterprise use cases, such as Document AI, data migration copilot, and database querying capabilities, rather than solely focusing on creating large AI models.
- The company is testing a Snowflake schema natural language tool and aims to provide a finance information app for CFO Mike Scarpelli.
- Mathematica CIO Akira Bell warned against getting too absorbed in generative AI and stressed the importance of utilizing all available tools.
- Citi, Morgan Stanley, Databricks, and Microsoft are collaborating on a FINOS initiative to establish best practices for adopting generative AI technology.
私の考え：SnowflakeはAI開発において控えめな予算を持ち、創造性と効率性を重視していることが強調されています。企業の採用を促進するため、多様な製品に生成AI機能が組み込まれており、TruEraの買収によりAI能力を強化しています。企業ユースケースの開発に焦点を当てており、大規模なAIモデルの構築だけでなく、ツールの効果的な活用も重要であるとの警告があります。
元記事: https://www.ciodive.com/news/snowflake-data-cloud-generative-ai-arctic-cortex-microsoft/717110/