Rising demand for high-bandwidth memory is creating bottlenecks in AI systems, making efficient memory usage a critical challenge for scaling large models. Google’s TurboQuant tackles this by compressing KV cache memory up to 6x without retraining, enabling more efficient AI inference with minimal accuracy loss.
Google’s TurboQuant: Solving AI Memory Challenges Read More »
Poor data quality and undetected errors are costing over 90% of organizations financially, while simultaneously slowing down workflows and limiting the effectiveness of AI adoption. To unlock real value from AI and digital transformation, companies must prioritize strong data governance, transparency, and reliable data foundations.
Unveiling the Data Paradox in AI Adoption Challenges Read More »
NVIDIA’s new Vera CPU is built to power agentic AI and reinforcement learning at scale, delivering significantly higher speed, efficiency, and single-thread performance than traditional CPUs. Its scalable, energy-efficient design enables enterprises to run thousands of AI-driven processes simultaneously, improving decision-making, automation, and operational efficiency.
Transform Your AI Strategy with NVIDIA’s Vera CPU Read More »
New AI risk management tools from vendors like Cohesity are emerging to help enterprises detect errors and roll back corrupted AI-driven systems to a trusted state. As adoption of agentic AI and AIOps grows rapidly, companies will need stronger guardrails, monitoring, and recovery mechanisms to maintain operational resilience.
New Tools to Recover from AI Mistakes in Enterprises Read More »
Shadow AI—the unauthorized use of AI tools by employees—poses serious data security, compliance, and operational risks for industrial B2B companies, especially under regulations like GDPR and the upcoming EU AI Act. Organizations can mitigate these risks by implementing secure corporate AI instances, AI literacy programs, and governance frameworks that balance innovation with control.
Managing Shadow AI for Secure Digital Transformation Read More »
Dassault Systèmes introduced Virtual Companions on the 3DEXPERIENCE platform—AI-powered assistants (Aura, Leo, Marie) designed to support engineering, testing, and scientific workflows across the product lifecycle. By combining AI reasoning with validated multi-disciplinary models, the tools aim to improve compliance, traceability, and efficiency in complex industrial environments.
Introducing AI Virtual Companions for Industrial Innovation Read More »