Dr. Joshua Stevens examines the key tasks in building a modern data management strategy, the mistakes enterprises make, and how generative AI figures into your strategy.
- By Upside Staff
- April 19, 2024
How can improving data management result in faster data access and sharper insights?
- By Upside Staff
- April 18, 2024
Why forward-thinking organizations are turning to a data mesh architecture.
- By Natalie Waller
- April 15, 2024
Modernizing ETL, especially the underlying infrastructure that supports it, across all your lines of business is vital for enhancing downstream analytics and decision-making.
- By Maciej Szpakowski
- April 11, 2024
Before jumping into AI, it’s important to have a strategy. You need to know what problem you are trying to solve, where you are now, and where you want to go. The CEO of global data consultancy Carruthers and Jackson explains what’s involved in building this strategy and where AI -- not just generative AI -- is headed.
- By Upside Staff
- April 10, 2024
Neuro-symbolic AI integrates several technologies to let enterprises efficiently solve complex problems and queries demanding reasoning skills despite having limited data. Dr. Jans Aasman, CEO of Franz, Inc., explains the benefits, downsides, and use cases of neuro-symbolic AI as well as how to know it’s time to consider the technology for your enterprise.
- By Upside Staff
- April 8, 2024
AI vendors that interoperate and partner well should significantly outperform their competitors.
- By Rob Enderle
- April 4, 2024
The proliferation of data models and business logic across different tools has become problematic. The beauty of a universal semantic layer is that it supports many data sources and many BI systems and data applications so teams can continue to use their preferred tools.
- By Artyom Keydunov
- April 1, 2024
James Kobielus, TDWI’s senior director of research for data management, discusses how to transform your business through AI.
- By Upside Staff
- March 29, 2024