Data Science Is a Team Sport: Enabling Team Success on Shared AI Projects
Dataiku
JULY 7, 2020
When working on group data projects, one of the most common challenges that teams face is difficulty sharing work in a transparent and efficient way.
Dataiku
JULY 7, 2020
When working on group data projects, one of the most common challenges that teams face is difficulty sharing work in a transparent and efficient way.
DataRobot
MAY 11, 2021
At DataRobot, we believe in 10x-ing our efforts: returns for our customers, professional development of our team, and our platform. It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels.
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Alation
SEPTEMBER 28, 2022
The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively. What exactly is DataOps ?
Domino Data Lab
AUGUST 8, 2019
Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking.
datapine
AUGUST 29, 2022
The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.
DataRobot
DECEMBER 16, 2021
Today, we’re excited to deliver two final key milestones for the year, extending the power of AI Cloud for a core community and delivering game-changing new features and capabilities in our latest 7.3 DataRobot Core for Expert Data Scientists: Build Fast and Deliver at Scale with a Code-First Experience. platform release.
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