We created the Databricks Unicorn Index – a mix of Crunchbase proprietary data, market signals, and Databricks insights – to help understand what happens when startups harness the full potential of Databricks. Our findings reveal that unicorns and emerging unicorns using
@databricks
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SQL Updates Enhance Data Engineering and Streaming Workflows
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Summary of new SQL updates to elevate your date engineering workflows: – New SQL Functions to simplify your queries
– .sql files can now be run in workflows
– Primary Key & Foreign Key Relationship Constraints for improved data integrity
– Structured Streaming and Liquid -
ICE NYSE GenAI RAG Text-to-SQL Application Achieves 96% Accuracy
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The Intercontinental Exchange (ICE)/NYSE pioneered a GenAI RAG applications that empower business users to extract insights from their most valuable asset – structured data – using natural language. This custom Text-to-SQL application achieved 96% execution matches and leveraged
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Databricks SQL Democratizes Analytics with Intelligent Data Engine
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Databricks SQL democratizes analytics for technical + business users, leveraging a data intelligence engine that understands the uniqueness of your data to provide intelligent experiences and predictive optimizations. Check out this guide to explore:
– The Databricks SQL -
Databricks AI Automatically Identifies Ranks Third-Party Library Vulnerabilities
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See how Databricks uses AI to automatically identify and rank vulnerabilities in third-party libraries. By leveraging our prioritization algorithm, the security team has significantly reduced their manual workload by over 95%. See how it works:
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Balancing AI Investment with Responsible Governance Practices
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Omar Khawaja, Field CISO at Databricks, shares key strategies to achieve harmony between business and tech leaders eager to invest in AI and compliance and governance teams rolling out responsible AI practices. “It turns out — paradoxically — that the very thing that slows us
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Databricks Field AI Agent Transforms Sales with GenAI
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We created our own Field AI Assistant, built on the Databricks Mosaic AI Agent Framework, as part of our initiative to transform our sales through GenAI agents. The Field AI Agent can be used to:
– Interact with data across multiple data sources using natural language – -
85% of enterprises adopting GenAI, only 37% production-ready
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This report from @EconomistImpact features insights from 1,100+ technologists and 28 CIOs, and outlines the opportunity for enterprises in adopting AI. Some key findings include: – 85% of enterprises are using GenAI
– 37% of execs believe their GenAI is production-ready
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Databricks egress control for serverless workloads now in preview
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Announcing egress control for serverless and model serving workloads! Centrally control outbound access from serverless workloads across multiple products and workspaces to minimize the risk of unauthorized or accidental data transfers outside Databricks. Now in Public Preview
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Enterprise AI Investment Priorities and Governance in 2025
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What will be the biggest #AI investment areas for enterprises in 2025? How will leaders balance rapid AI adoption with governance? How will companies use their data advantage to accelerate innovation? Read our predictions for enterprise AI this year.