Databricks, a unified data analytics provider, introduced DBRX, a pioneering platform poised to democratize enterprise artificial intelligence (AI). DBRX, built entirely on Databricks, allows businesses to create custom, high-performance Large Language Models (LLMs), freeing them from dependence on closed models.
“At Databricks, our vision has always been to democratize data and AI,” said Ali Ghodsi, co-founder and CEO of Databricks. “We do this by providing data insights to every company, helping them understand and use their private data to build their own AI systems. DBRX is the result of this goal.
Ghodsi highlighted three main reasons why businesses should consider DBRX. First, it outperformed open source models at launch in terms of industry-leading benchmarks. Second, it outperforms GPT-3.5 on most benchmarks, signaling a paradigm shift as organizations move from proprietary to open source models. And third, DBRX’s use of a mixed-expert architecture makes it exceptionally fast in terms of tokens per second, while remaining cost-effective to mine, setting a new standard for open source LLMs.
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The Data Intelligence Day in Manila, part of a global tour covering more than 30 cities, highlighted the accelerated adoption of enterprise AI in the Philippines. With the participation of data-driven companies like Aboitiz Data Innovation, Databricks, Maya and PLDT, the occasion allowed local data and AI practitioners to come together and exchange ideas.
“The Philippines is one of our key markets in the ASEAN region, and we are excited to see enterprise AI adoption gaining traction across various industries,” said Cecily Ng, Vice President President and Managing Director of Databricks in ASEAN. “We aim to enable more Filipino customers to harness AI securely, using their own data, on our Data Intelligence platform.”
Data-driven businesses leverage the Databricks Data Intelligence platform to optimize business operations, drive innovation through predictive analytics and AI applications, and strengthen decision-making. Built on a Lakehouse architecture, the platform provides an open, unified foundation for all data and governance, enhanced by a data intelligence engine tailored to the particularities of each company’s data.
Globally, Databricks reported revenue of more than $1.6 billion for the fiscal year ended January 31, reflecting more than 50% year-over-year growth, propelled through incessant product innovation.
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