Remove solutions dataops-for-data-science-and-ai-teams
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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. To date, we count over 100 companies in the DataOps ecosystem. Meta-Orchestration.

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2021 Gift Giving Guide for Data Nerds

DataKitchen

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

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DataKitchen’s 2020 Honors & Awards

DataKitchen

While 2020 has been a collectively difficult year, we want to take a moment to thank all of our employees for the hard work they put into continually developing our DataKitchen DataOps Platform for our customers. DBTA’s 100 Companies That Matter Most in Data. Top Executive: Christopher Bergh, CEO. Headquarters: Cambridge, Mass.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI.

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Rethinking enterprise architects’ roles for agile transformation

CIO Business Intelligence

All this while CIOs are under increased pressure to deliver more competitive capabilities, reduce security risks, connect AI with enterprise data, and automate more workflows — all areas where architecture disciplines have a direct role in influencing outcomes.

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Five Strategies to Accelerate Data Product Development

Cloudera

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

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What Is DataOps? Definition, Principles, and Benefits

Alation

What exactly is DataOps ? 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.