The news that Databricks had signed a definitive agreement to acquire AI startup MosaicML for an estimated $1.3 billion made headlines yesterday. But for the two companies’ CEOs, the deal was a natural fit, and all about helping speed up enterprise adoption of generative AI.
Databricks CEO Ali Ghodsi told NeuralNation that for months, customers had been asking him the same questions: “How can I create my own generative AI models? How do I own them and create my intellectual property around this? Can you help me?”
Over and over again, he explained, MosaicML came up as a company helping enterprises do just that. And more often than not, customers using MosaicML were also using Databricks to build their own generative AI models.
For example, Replit, a cloud-based collaborative code editing platform, had even published a blog post back in April detailing its efforts to train its own large language models (LLMs) from scratch, using MosaicML, Databricks and Hugging Face.
Companies across the world are increasingly recognizing the power of artificial intelligence (AI) and the importance of protecting their investments in this technology. Today, Databricks, the leading cloud-based data platform provider, and MosaicML, the platform at the forefront of automated machine learning (ML) model development and deployment, announced a deal worth $1.3 billion that aims to empower enterprises in creating and managing their own domains of AI intellectual property.The combination of Databricks’ AI-first platform and MosaicML’s automated platform for model development and deployment offers enterprises an unprecedented level of control over AI domains. With this partnership, Databricks customers can fully automate MLOps from development to deployment, while MosaicML’s customers can operate AI research and development in the cloud. And, with Databricks’ AI model monitoring and results scoring, businesses will be able to monitor their ML models.
The two companies share the same commitment to reduce friction when enterprises are developing and deploying AI models. As part of their collaboration, MosaicML CEO Manoj Selvaraj and Databricks CEO Ali Ghodsi have committed to developing an integrated AI platform for enterprises that will allow them to rapidly create and deploy their own AI models.
The integration of Databricks and MosaicML is also expected to result in a more intelligent and accurate approach to enterprise AI. ML models that are developed with the combined set of tools will be able to detect patterns more quickly and accurately than ever before, thereby enabling enterprises to develop their own intellectual property and take full advantage of their AI investments.
As the first public cloud-focused collaboration of its kind, this partnership will enable enterprises to better manage and monetize their AI domains, a game changer in today’s competitive AI landscape. By leveraging Databricks’ AI-first platform and MosaicML’s automated platform for model development and deployment, enterprises can secure their investments in AI and create a powerful competitive advantage.
