Databricks is turning heads amid reports of a major new funding round following strong sales growth over the course of this year. The fast-growing AI and data analytics firm is looking to raise $5 ...

Nov 17 (Reuters) - Data analytics firm Databricks is in talks to raise funds at a valuation of more than $130 billion, about 30% higher than its last financing round two months ago, The Information ...

New funding will scale the development of faster, more efficient AI models for text, voice, and code Inception dLLMs have already demonstrated 10x speed and efficiency gains over traditional LLMs ...

I’ve spent the past decade working at the intersection of AI, systems optimization, and cloud infrastructure. At Google, I helped efficiently scale data center infrastructure on one of the largest and ...

PHILADELPHIA, Oct. 14, 2025 /PRNewswire/ -- On the keynote stage at Coalesce 2025, dbt Labs – the leader in standards for AI-ready structured data – showcased the continued evolution of the dbt ...

Databricks recently reached a valuation exceeding $100 billion following its latest funding round, joining the elite group of most-valuable private companies like SpaceX, ByteDance and OpenAI.

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

Marketing leaders face increasing pressure to demonstrate the value of every dollar. However, many organizations struggle to measure outcomes such as return on ad spend (ROAS) until after campaigns ...

Sept 8 (Reuters) - Data analytics firm Databricks said on Monday it was on track to hit $4 billion in annualized revenue on the back of booming demand for its artificial intelligence products, as it ...

The new distributed graph architecture promises unified transactional and analytical processing, enabling enterprises to scale real-time decision-making for autonomous workflows. Graph database ...

This project demonstrates key PySpark performance optimization techniques using a synthetic banking transactions dataset (~5,000 records). Built using Databricks and Delta Lake.