“You want data scientists and analysts to spend as much time as possible on the data science, rather than the overhead,” Somekh says.
“You want data scientists and analysts to spend as much time as possible on the data science, rather than the overhead,” Somekh says.
A panel at last week’s MLOps NYC conference, discussed best practices for multiplatform MLOps with Kubeflow and MLflow that might make it easier to get enterprises on board.
Iguazio is a hot startup that provides a state-of-the-art data science platform for various verticals, including Industrial IoT, Smart Mobility...
For Somekh, Hadoop still has value and the software is good. But instead of positioning Hadoop as the solution for all data problems, Cloudera and others should go back to focusing on one core area: data warehousing.
We see that enterprises looking to implement data science and AI in business applications struggle with complex, siloed data pipelines that require very long deployment periods at extremely high costs.
Given that Azure and Azure Stack are essentially the same platform, as far as the APIs are concerned, Iguazio can then take its software and run it both in the cloud...