Operations | Monitoring | ITSM | DevOps | Cloud

Generative AI Is Easy to Demo but Hard to Deliver: The MVP Illusion

Generative AI has become the easiest demo in tech history, but one of the hardest products to operationalise. Walk into any startup pitch meeting, and you'll witness something remarkable: entrepreneurs can now showcase seemingly revolutionary AI capabilities in minutes. A few prompts to GPT-4, some impressive outputs from Midjourney, or a quick code generation session with GitHub Copilot, and investors are nodding appreciatively. The wow factor is instant, the potential appears limitless, and the competitive advantage seems obvious.

Building RAG with enterprise open source AI infrastructure

One of the most critical gaps in traditional Large Language Models (LLMs) is that they rely on static knowledge already contained within them. Basically, they might be very good at understanding and responding to prompts, but they often fall short in providing current or highly specific information.

LLM Testing in 2025: Methods and Strategies

Large Language Models, or LLMs, have become a near-ubiquitous technology in recent years. Promising the ability to generate human-like content with simple and direct prompts, LLMs have been integrated across a diverse array of systems, purposes, and functions, including content generation, image identification and curation, and even heuristics-based performance testing for APIs and other software components.

Three benefits of AI-Powered Incident Management

Today, every enterprise is digital. Regardless of industry, every business must incorporate digital technologies and strategies into its operations to remain competitive. Maintaining reliable IT infrastructures and digital services while minimizing downtime due to unplanned outages is critical to business success.

Grafana LLM plugin updates: choose the LLM models and providers that work best for you

At Grafana Labs, our mission has always been to empower users with the tools they need to build their own observability solutions. Our big tent philosophy embodies this mission by allowing you to choose the tools and technologies that best suit your needs. In this post, we want to share an update to our LLM plugin that reflects this philosophy in action.

InvGate Service Management: 6 AI Superpowers to Augment Service Desk Agents' Capabilities

At InvGate, we are committed to harnessing the power of AI to redefine Service Management practices. Since launching AI Hub, featuring the first wave of AI-powered capabilities within InvGate Service Management and Asset Management, over 50% of our clients have adopted them and saved dozens of thousands of hours. Our most impactful solutions have focused on enhancing decision-making processes, enabling teams to work smarter and achieve better outcomes.

This Month in Datadog: Monitor OpenAI costs, Kubernetes Active Remediation, IaC Security, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on Datadog Cloud Cost Management for OpenAI.

Beyond Transcription: How Synthetic Rooms Are Solving Voice AI's Hardest Open Problem

Since Google researchers introduced the Transformer architecture in Attention Is All You Need in 2017, language models have become dramatically better at processing and generating text. After ChatGPT's public release in late 2022, the ambition around voice systems expanded quickly. Meeting software, clinical scribes, speech-infrastructure companies, and voice-agent startups all began chasing a larger idea: spoken conversation could become structured, searchable, and actionable.

AI Strategies for Software Engineering Career Growth

Space.com sums up the Big Bang as our universe starting “with an infinitely hot and dense single point that inflated and stretched—first at unimaginable speeds, and then at a more measurable rate to the still-expanding cosmos that we know today,” and that’s kind of how I like to think about November 2022 for junior developers.

How MSPs Can Leverage AI to Increase Efficiencies and Increase Margins

The Managed Service Provider (MSP) industry is highly competitive. The growing demand for IT management and support has led to a proliferation of MSPs, ranging from small to established providers. This saturation intensifies pressure on profit margins and heightens expectations for delivering faster, more efficient services. With many MSPs competing for business, companies must find ways to differentiate themselves to attract and retain clients. At ScienceLogic, we know that AI holds the key to success.