Microsoft has introduced agent debugging capabilities for Microsoft 365 Copilot, allowing users to debug AI agents directly within apps like Word and Excel, without needing Visual Studio. This new functionality addresses the challenges of debugging agent behavior, which can be unpredictable and complex due to external inputs and limited insight. Users can simply type the ...
NVIDIA has launched AgentIQ, a Python library designed to simplify the creation of intelligent systems by unifying various frameworks and data sources. As businesses increasingly adopt complex agentic systems, they face challenges with compatibility and performance monitoring. AgentIQ addresses these issues by allowing developers to reuse components and mix tools across different frameworks without rebuilding ...
NVIDIA and ServiceNow have expanded their partnership to enhance AI agent capabilities for businesses. This collaboration introduces new evaluation tools that help organizations monitor AI performance based on key metrics like accuracy and transparency. By integrating NVIDIA’s advanced Llama Nemotron reasoning models, ServiceNow aims to improve decision-making and flexibility for AI agents, making them more ...
Discover how to enhance your Marketing strategy with AI agents in six simple steps. This article highlights the transformative role of artificial intelligence in automating tasks, personalizing customer interactions, and analyzing consumer data. Learn how AI can help marketers optimize advertising, create engaging content, and improve lead scoring, thereby boosting sales efficiency. By harnessing AI ...
AI agents are revolutionizing how businesses operate by automating complex tasks and enhancing collaboration among teams. NVIDIA’s AI-Q and the AgentIQ toolkit make it easy for companies to develop these intelligent systems that can effectively handle various responsibilities. By integrating advanced technologies and tools, like NVIDIA’s Llama Nemotron reasoning models, enterprises can create digital workforces ...
Understanding how AI agents process data is essential to identifying performance issues, decision-making patterns, and security vulnerabilities. Key challenges include tracking requests through complex AI pipelines, uncovering hidden delays in large model calls, and addressing security risks like prompt injection attacks. To overcome these issues, businesses need a structured observability framework that combines telemetry, AI-specific ...
Building and maintaining an AI agent in production can be challenging, especially when working with large language models (LLMs). This blog shares the lessons learned from developing and improving their AI Assistant, Copilot, using tools like Arize and Phoenix. It explains how they test new features, monitor user interactions, and continuously iterate to enhance performance. ...
Workday has introduced the Agent System of Record, a centralized platform designed to help businesses manage their AI agents, both from Workday and other sources. This innovation builds on Workday’s two decades of expertise in human capital management, enabling organizations to navigate the evolving landscape of AI effectively. The new system allows companies to onboard ...
Gain complete control over your AI agents with an intuitive platform designed for easy management and training. You can decide when and how to activate your agents, ensuring they interact accurately on specific topics. By guiding them with clear instructions and tailored resources, you can align their actions with your business needs. The platform allows ...
