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Fabrix.ai Demo Day Showcases Agentic Platform and AGNTCY Collective Ecosystem Alliance

Fabrix.ai, a pioneer in enterprise-ready agentic AI solutions, successfully hosted its highly anticipated Agentic AI Demo Day yesterday, bringing together IT operations, NOC operations, and AI operations professionals for a comprehensive showcase of its Purpose-built Agentic AI Operational Intelligence Platform.

Unlock Cheaper & Faster AI Testing: Mocking Claude and MCP

Generative AI is quickly becoming ubiquitous in the software development space, with tools like Anthropic’s Claude offering rapid methodologies for code iteration, testing, and deployment. As new solutions, such as MCP (Model Context Protocol), are created to make integration more seamless, enterprises are adopting these AI solutions to optimize their development processes, a familiar challenge repeatedly arises: cost.

Agentic AI and How It is Transforming Customer Service

Customer service has gone through a fundamental transformation in the last few years. What started as reactive support through call centers has evolved into AI-driven interactions designed for speed, efficiency, and personalization. According to McKinsey, integrating generative AI into customer care functions can drive productivity gains of 30-45%. Agentic AI is taking this further by automating entire workflows.

Why are AI Agents Superior to LLM #speedscale #apitesting #mocks #ai #agents #llm #developers

Matt LeRay explains the key difference: AI agents can perform multi-step processes to solve complex software tasks, unlike simple LLMs that mainly answer questions. Discover how agents go beyond chat to: What are your thoughts on AI agents in software development? Let us know in the comments below!

Lessons Learned in LLM Prompt Security: Securing AI with AI

AI is no longer just a buzzword. According to a 2024 McKinsey survey, 72% of companies now use AI in at least one area of their business. By 2027, nearly all executives expect their organizations to use generative AI for both internal and external purposes. However, with this rapid adoption comes significant security risks. As organizations rush to implement AI solutions, many overlook a critical vulnerability: prompt security.

Responsible AI: What It Means & How To Achieve It

The information age has leapt forward with the explosive rise of generative AI. Capabilities like natural language processing, image generation, and code automation are now mainstream — driving the business goals of winning customers, enhancing productivity, and reducing costs across every sector. New large language models are emerging almost daily, existing language models are optimized in a frantic race to the top. There seems no stopping the AI boom.

Empowering Your Business with AI: The Role of Real-Time Data Capture

In the world of business, AI is like a superhero - but even superheroes need the right tools to do their job. To make AI truly effective, it’s important to pair it with automated data capture across your operations. Just like us, AI needs a complete picture to make smart decisions and avoid mistakes. Without all the details, it can’t spot patterns, catch defects, or find hidden inefficiencies.

Transforming the Incident Lifecycle With AI Agents

We’re in the midst of a fundamental shift in how organizations run operations. 51% of companies have already deployed AI agents. What was once reactive and manual is becoming intelligent, automated, and AI-driven. The organizations that embrace this shift gain more than just operational efficiency; they develop a strategic competitive advantage that directly impacts business outcomes.

Operational excellence in the age of AI and Automation

The future of operations is here with PagerDuty's groundbreaking AI and automation innovations. Learn how PagerDuty AI agents, powered by PagerDuty Advance, and new use cases like security incident management and LLMOps can help your organization achieve operational excellence to reduce cost, mitigate the risk of outages, and accelerate innovation.