Contentful’s Generative AI Professional Usage and Perception Survey finds enthusiasm for genAI is strong.
Hybrid cloud platform integrates structured and unstructured data, redefining data management efficiency and flexibility for enterprises.
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
Reduces barriers to Iceberg lakehouse adoption while improving time to insight.
Insights show a decisive shift towards hybrid IT environments, an evolution from automation to orchestration, and the rise of machine learning (ML) pipelines to support generative AI initiatives.
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