AWS (Amazon Web Services) recently highlighted how Bluesight developed Prism, an AI layer that enhances hospital pharmacy and compliance data integration across its product suite. Currently, the Prism Assistant for ControlCheck is operational across 20 health systems, while a multi-product agent aimed at ensuring compliance with 340B Group Purchasing Organization (GPO) regulations is expected to […]
Scaling Safe Enterprise AI: Leveraging OpenAI Governance Frameworks
OpenAI has introduced new governance frameworks designed to guide enterprises in the safe and compliant deployment of large language models. The frontier governance framework outlines strategies for assessing and mitigating systemic risks associated with advanced AI technologies. This framework aligns with the EU’s General-Purpose AI Code of Practice and California’s Transparency in Frontier AI Act […]
Jumpstarting AI Rollouts: Insights for EMEA CIOs from IDC
Getting stalled enterprise AI rollouts in the EMEA region back on track will require CIOs to initiate comprehensive audits of their systems. In the past 18 months, AI deployments in Europe have moved beyond initial experiments, with companies investing heavily in large language models and machine learning. However, recent research from IDC indicates a slowdown […]
IBM Unveils AI Platform “Bob” to Optimize Software Development Lifecycle Costs
IBM has introduced an innovative AI platform named Bob, aimed at managing software delivery costs and ensuring adherence to Software Development Lifecycle (SDLC) governance. As companies expedite modernization efforts, IBM’s Bob seeks to balance rapid development with the necessary controls to mitigate risks inherent in fast-paced coding environments. Dinesh Nirmal, IBM’s Senior Vice President of […]
KiloClaw Takes Aim at Shadow AI with New Autonomous Agent Governance Solutions
With the introduction of KiloClaw, organizations now have a powerful tool to enforce governance over autonomous agents and manage the rise of shadow AI. In recent times, while businesses focused on securing large language models and solidifying vendor agreements, developers and knowledge workers began creating solutions independently. This practice, known as Bring Your Own AI […]





