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Use AI in Seconds with Snowflake Cortex

Snowflake

For organizations to fully capitalize on this potential, it’s critical that everyone — not just those with AI expertise — is able to access and use generative AI. With just a single line of SQL or Python, analysts can instantly access specialized ML and LLM models tuned for specific tasks. See demo here.

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Introducing Vector Search on Rockset: How to run semantic search with OpenAI and Rockset

Rockset

To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results. In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents. Why use vector search?

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Snowflake Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

The Innova-Q dashboard provides access to product safety and quality performance data, historical risk data, and analysis results for proactive risk management. Titan Systems Titan helps enterprises to manage, monitor and scale secure access to data in Snowflake with an infrastructure-as-code approach.

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The Moat for Enterprise AI is RAG + Fine Tuning – Here’s Why

Monte Carlo

And in many ways, LLMs are going to make data engineers more valuable – and that’s exciting! Still, it’s one thing to show your boss a cool demo of a data discovery tool or text-to-SQL generator – it’s another thing to use it with your company’s proprietary data, or even more concerning, customer data.

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How DataOS Nails Gartner’s Magic Quadrant for Data Integration

The Modern Data Company

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

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Educating ChatGPT on Data Lakehouse

Cloudera

The one key component that is missing is a common, shared table format, that can be used by all analytic services accessing the lakehouse data. The table format provides the necessary structure for the unstructured data that is missing in a data lake, using a schema or metadata definition, to bring it closer to a data warehouse.

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How DataOS Nails Gartner’s Magic Quadrant for Data Integration

The Modern Data Company

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.