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
AI vendors that interoperate and partner well should significantly outperform their competitors.
- By Rob Enderle
- April 4, 2024
Cybernews analyzed the 14 popular airline apps; investigation revealed some apps might have sensitive access to travelers’ devices.
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
Building upon MicroStrategy AI, MicroStrategy ONE Users can ask for AI-powered insights in natural language without relying on a dashboard, making it simple to incorporate BU into every business decision.