Transforming Data Chaos into Clarity with A Semantic Layer
As BI applications embrace Gen AI, the clarion call for providing them with well-defined data becomes even more pertinent. With a robust semantic layer that …
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
As BI applications embrace Gen AI, the clarion call for providing them with well-defined data becomes even more pertinent. With a robust semantic layer that …
The patterns of technology adoption continue to be predictable, with GenAI following the same path cloud computing blazed before it. Just as cloud architecture …
By outsourcing AI infrastructure to the cloud provider, serverless inference frees enterprises to focus on the application layer of their AI
Does every AI application need a human in the loop? No. Of course not. The challenge is determining which applications need human input and
In this week's real-time analytics news: NVIDIA announced that it will build AI supercomputers entirely in the U.S.
An intent-based framework allows organizations to securely adopt AI technologies by understanding critical use cases, integrating AI with targeted policies, …
The transformation of bowling through edge AI reveals its potential to reshape far more than sports. The ability to enable remote, verified competition with …
In this week's real-time analytics news: Google and many of its partners made announcements at the Google Cloud Next 2025 conference.
BYO-LLM is already happening in organizations today. If you're not expanding your ITAM strategy to include AI tools, you're missing a critical piece of the …
Embracing LLaMA-Mesh could lead to significant advancements in how companies utilize AI, potentially making the jump from innovative ideas to tangible products …