This article explains how Agent Bricks creates tailored AI agents using your business data. It highlights features like automated evaluations and continuous accuracy improvements, helping organizations deploy effective AI solutions without extensive trial and error.

This report reveals findings from 1,150 IT leaders about the current state of automation and AI in organizations. It highlights the gap between potential and actual use of agentic AI, emphasizing the need for better orchestration and governance to scale these technologies effectively.

This article discusses Agent Bricks, a platform that creates AI agents tailored to specific business data. It outlines how to enhance agent accuracy through automated evaluations and human feedback, plus offers resources for getting started with AI agents in organizations.

Scale agentic AI from pilot to production with OutSystems' Agent Workbench, a low-code platform that enables enterprises to create, govern, and deploy custom AI agents efficiently. The platform integrates seamlessly with existing systems, ensuring security and compliance while automating workflows across various business functions. With built-in governance and a user-friendly interface, organizations can rapidly build intelligent solutions tailored to their unique needs.

The article discusses best practices for deploying Power BI in enterprise environments, highlighting lessons learned from real-world implementations. It emphasizes the importance of governance, user training, and performance optimization to ensure successful adoption and effective use of the platform.

IBM is addressing the challenge of shadow AI, which refers to the use of unauthorized or unregulated artificial intelligence tools within organizations. The company emphasizes the importance of governance and security measures to mitigate risks associated with these tools, ensuring that enterprises can leverage AI effectively while maintaining control over their data and processes.