Essentials for an enterprise data science solution

Data science solutions enable enterprises to explore their data, develop machine learning (ML) models, and operationalize them to drive business outcomes. Until recent years, data analysts and scientists had to switch from one tool to another to perform these steps, making the entire process of building models slow and cumbersome. However, modern data science solutions are changing the game by offering end-to-end workflows and advanced tools for all these processes.

Here is our take on 10 must-haves for a next-gen scalable enterprise data science solution.

To download the detailed checklist, click here.

Distributed Cloud: The Latest Innovation Accelerator

Now, in addition to public and private clouds, enterprises have the choice of combining cloud options into a distributed cloud network. In this article, Hari Kodakalla, Vice President, Cloud and Data Strategy, outlines how enterprises can adopt the distributed cloud with minimal risk and tap into its benefits to innovate, reduce time to insight, and improve the customer experience.

Read the complete article here Distributed Cloud: The Latest Innovation
Accelerator | Transforming Data with Intelligence (