{"id":4738,"date":"2025-09-24T14:21:58","date_gmt":"2025-09-24T14:21:58","guid":{"rendered":"https:\/\/palmer-consulting.com\/ai-and-llm-giants-focus-on-databricks\/"},"modified":"2025-09-24T14:21:58","modified_gmt":"2025-09-24T14:21:58","slug":"ai-and-llm-giants-focus-on-databricks","status":"publish","type":"post","link":"https:\/\/palmer-consulting.com\/en\/ai-and-llm-giants-focus-on-databricks\/","title":{"rendered":"AI and LLM giants: focus on Databricks"},"content":{"rendered":"
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AI and LLM giants: focus on Databricks<\/h1>\n

The market forgenerative AI<\/strong>, LLMs LLM (Large Language Models)<\/strong><\/a> and NLP<\/strong> are booming. This boom is underpinned by growing demand for intelligent tools to automate content creation, data analysis, conversational agents and the extension of business use cases (AI co-piloting, recommendation, automatic synthesis). <\/p>\n

In this context, integrated data & AI<\/strong> platforms play a central role: they enable organizations to build, deploy and govern models on massive databases. This is where Databricks<\/strong>, a major player in the Data Intelligence Platform<\/em> segment, comes in. <\/p>\n

This article describes Databricks<\/strong> in detail: its business, technology model, fundraising, customers and strategic positioning.<\/p>\n

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Databricks<\/h2>\n

Overview: business and expertise<\/h3>\n

Founded in 2013<\/strong> by the creators of Apache Spark, Databricks is an American software company based in San Francisco. Its mission: to simplify access to data and AI for businesses via a unified platform for data, analytics and artificial intelligence<\/strong>. <\/p>\n

Databricks’ core approach is based on the lakehouse<\/strong> concept – an architecture combining the advantages of data warehouses and data lakes – to enable analysis, machine learning, streaming and governance on a single platform.<\/p>\n

Databricks offers tools for :<\/p>\n