Upside


Achieving Scalable, Agile, and Comprehensive Data Management and Governance (Part 2 of 3)

Danny Sandwell, senior solutions manager with Quest, and Conor Jensen, field CDO with Dataiku, discuss the new TDWI Best Practices Report on achieving scalable, agile, and comprehensive data management and data governance.

Achieving Scalable, Agile, and Comprehensive Data Management and Governance (Part 3 of 3)

In the last part of our three-part series, Kevin Bohan, director of product marketing with Denodo, and Liam Yu, product marketer with Hitachi Vantara, discuss the new Best Practices Report on achieving scalable, agile, and comprehensive data management and data governance.

Achieving Scalable, Agile, and Comprehensive Data Management and Governance (Part 1 of 3)

David Stodder, senior research director for business intelligence with TDWI, discusses his newest Best Practices Report, which covers how to achieve the best in data management and governance.

Data Digest: Adding Value with AI/ML

Applying AI to IT, using AI for personalization, and effectively deploying ML.

Data Stories: Houses and Mortgages

Examples of data visualizations that show the cost of buying a house, mortgage rates, and generational assets.

The Most Effective Enterprise Data Analytics Strategies Always Look Beyond Technology

With AI bringing on a new phase in data analytics, we examine historical trends and the best practices enterprise technology leaders should pursue.

Data Digest: Addressing Concerns about AI and ML

Systemic ML problems, reservations about AI applications in healthcare, and advice for businesses governing AI.

Data Mesh Domains Explained

At the heart of a data mesh are data mesh domains, but what are they, exactly? We explain the basics you need to know.

Vector Databases and What They Mean to Generative AI

James Kobielus, TDWI’s senior director of research for data management, discusses the importance of vector databases to recent innovations in generative AI.