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Article 50 of the EU AI Act has entered into force, setting transparency obligations for AI providers and deployers operating across the bloc. Enterprises running generative AI tools now have to comply with Article 50, which requires providers and deployers of certain AI systems to tell people when they’re interacting with a machine, and to […]
EU AI Act Article 50 transparency rules enter force Read More »
AWS (Amazon Web Services) has explained how Bluesight developed Prism, an AI layer that connects hospital pharmacy and compliance data across its product suite. Prism Assistant for ControlCheck has reached general availability and operates across 20 health systems, according to AWS vendor statements. Meanwhile, a multi-product agent for 340B Group Purchasing Organisation (GPO) compliance remains
AWS and Bluesight build AI for hospital 340B compliance Read More »
Anthropic has launched Claude Sonnet 5 and restored access to its Fable and Mythos frontier models following a federal export control review. The decision marks the conclusion of an eighteen-day operational pause triggered by a US government export control directive on June 12, which forced the temporary suspension of Anthropic’s highest-capability systems. Government officials enacted
Anthropic deploys Claude Sonnet 5, Fable and Mythos restored Read More »
OpenAI’s latest governance frameworks offer enterprise leaders a structured blueprint for scaling safe and compliant AI deployments globally. The adoption of large language models has steadily progressed towards requiring sustainable, commercial-grade architecture. OpenAI has released its Frontier Governance Framework (FGF), documenting how the organisation addresses systemic risk assessment and mitigation. The framework maps directly to
Scaling safe enterprise AI with OpenAI governance frameworks Read More »
The regulatory submission process in life sciences is becoming less about assembling documents and more about proving trust. For years, submission readiness was largely treated as an end-stage operational milestone: finalize the analysis, validate the outputs and package everything for regulators. But that model is beginning to break down under […] The post Steps to
Steps to building regulatory readiness for the next wave of clinical submissions Read More »
Getting stalled enterprise AI rollouts in the EMEA region moving again will require CIOs to aggressively audit their systems. Over the past 18 months, AI deployments across Europe advanced far beyond initial testing. Companies poured capital into large language models and machine learning, expecting heavy operational upgrades. IDC research reveals that boards are slowing down,
To regulate software delivery costs and SDLC governance, IBM is launching Bob, an AI platform built to anchor enterprise engineering. Accumulated technical debt, hybrid cloud structures, and rigid compliance requirements clash with the raw speed of coding assistants. Without boundaries, they generate unmanaged liabilities rather than functional progress. Dinesh Nirmal, SVP at IBM Software, explained:
IBM launches AI platform Bob to regulate SDLC costs Read More »
According to SAP, integrating agentic AI into core human capital management (HCM) modules helps target operational bloat and reduce costs. SAP’s SuccessFactors 1H 2026 release aims to anticipate administrative bottlenecks before they stall daily operations by embedding a network of AI agents across recruiting, payroll, workforce administration, and talent development. Behind the user interface, these
SAP brings agentic AI to human capital management Read More »
A new open-source toolkit from Microsoft focuses on runtime security to force strict governance onto enterprise AI agents. The release tackles a growing anxiety: autonomous language models are now executing code and hitting corporate networks way faster than traditional policy controls can keep up. AI integration used to mean conversational interfaces and advisory copilots. Those
Microsoft open-source toolkit secures AI agents at runtime Read More »
AI systems are starting to move beyond simple responses. In many organisations, AI agents are now being tested to plan tasks, make decisions, and carry out actions with limited human input. It is no longer just about whether a model gives the right answer. It is about what happens when that model is allowed to
As AI agents take on more tasks, governance becomes a priority Read More »
