Yes, You Can Secure AI Without Limiting its Potential
An intent-based framework allows organizations to securely adopt AI technologies by understanding critical use cases, integrating AI with targeted policies, …
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.
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 …
Factory managers need reliable data to drive real-time analytics and AI-driven insights of their manufacturing
In this week's real-time analytics news: The latest round of MLCommons Inference benchmark tests show that hardware and software advances optimized for …
Key advancements in AI-powered master data management within ERP systems enhances data accuracy, streamline business operations, and improves decision-making …
The only AI systems worth building are those that are auditable, explainable, and grounded in your company’s real data. That means combining LLMs with …
A revised digital operating model based on product-centric value delivery, human-centric experiences, a data-first approach, engineering excellence, and …