Subject archive for "company-updates," page 2

The emerging power of data science to run the world–long partially obscured even to the individual practitioners of the craft–was on full display on the opening day of the far-ranging Rev 3 conference in New York City this week, and it felt like the debutante ball for a young profession.

We are thrilled to once again gather together in-person at Rev 3 - THE can’t miss Enterprise MLOps Summit of the year!

Today, Domino Data Lab is announcing the validation of Domino’s enterprise MLOps platform integrated with NVIDIA AI Enterprise and VMware vSphere with Tanzu, helping enterprises worldwide manage data science and AI workloads using mainstream servers. Domino is the first MLOps software NVIDIA has validated with the NVIDIA AI Enterprise software suite to provide the highest performance and compatibility on NVIDIA-certified Systems from leading server providers.

I’m thrilled to announce that Domino has raised $100 Million in funding led by Great Hill Partners, existing investors Coatue Management, Highland Capital Partners and Sequoia Capital, plus another new investor: NVIDIA. The funding will let us accelerate growth across the company, especially in product development, so we can continue to build the world’s best Enterprise MLOps platform.

The trend from our customers is clear: GPU-based training is a competitive advantage for enterprises building increasingly sophisticated models. We see this in everything fromNLP for predictive supply chains to image processing for histopathology in clinical trials, andpredictive maintenance for energy infrastructure to automatic claims resolution in insurance.

The world’s most sophisticated companies overwhelmingly count on data science as a key driver for their long-term success. But according to a new survey of 300 data science executives at companies with more than $1 billion in annual revenue, flawed investments in people, processes, and tools are causing failure to scale data science.