viAct Blog·
From compliance to prevention, digital EHS systems empower organizations with data-driven health strategies for safer workplaces.
Read full articleCAMPBELL, Calif., June 9, 2026 — WEKA today announced production-scale benchmarks that show how organizations can improve the economics of long-context AI inference by serving more users and tokens on […] The post WEKA Reports 10x Higher AI Inference Throughput with NeuralMesh on OCI appeared first on AIwire.
What’s holding organizations back from making the most of AI.
Crypto lobby groups representing hundreds of organizations urged Senate leaders in a letter to schedule a vote on a key crypto bill ahead of the midterms.
The crypto industry has intensified its push for the CLARITY Act after more than 200 companies and organizations signed a letter urging Senate leaders to schedule a floor vote, while analysts warn the bill is running short on time. According…
Indian entities have secured access to Anthropic's Mythos AI model as part of Project Glasswing expansion. Single-digit number of organisations granted permission to detect software vulnerabilities.
The original restricted rollout has widened, but the model is still not generally available.
Anthropic is expanding Project Glasswing, its security vulnerability program, and access to Mythos to 150 organizations across 15 countries — targeting critical infrastructure in power, water, healthcare, and communications where a cyberattack could affect 100 million people.
Most enterprises already have access to AI models, so that is no longer the differentiator. The real challenge begins after the demo ends. Organizations are now trying to determine how AI agents interact with ERP systems, supply chains, approvals, security policies, customer records, and operational environments that were never designed for autonomous systems. The reality is that ERP remains the system of record for many business decisions. If AI agents cannot operate within ERP governance, approval, and transaction frameworks, they remain assistants rather than operational participants. What makes this interesting is that Snowflake is not positioning itself as another AI platform vendor. The company is positioning itself to be the governance and orchestration layer that enterprises will build agentic AI around. Horizon Context, Semantic Studio, Cortex Sense, Coco, Cowork, Apache Iceberg interoperability, Model Context Protocol (MCP) connectivity, and the company’s broader AI security
