Systems | Development | Analytics | API | Testing

The AI Governance Wake-Up Call

Companies are rapidly adopting AI, but it's not all roses. The excitement comes with significant risks, such as shadow AI, runaway costs, and security nightmares. This post explores the real challenges organizations face in AI governance today and highlights how forward-thinking companies are beginning to tackle them. Companies are charging headfirst into AI, with research around agentic AI in the enterprise finding as many as 9 out of 10 organizations are actively working to adopt AI agents.

AI Analytics Reality Check: Why 95% of Projects Miss the Mark

Most AI analytics projects are failing to deliver on their promises, and the cause isn’t what you might expect. This creates widespread project failures and undermines confidence in AI-driven analytics. What are the problems with AI analytics and how can organizations address them?

What's Really Coming in AI Next Year #short

AI is about to reshape security, work, competition, and even healthcare in 2026. In this video, Rod Cope breaks down the shifts leaders need to prepare for — from context engineering becoming a true competitive edge to agentic systems facing major security incidents, AGI claims, and an AI-driven medical breakthrough that could change human health forever. If you’re planning your 2026 strategy, these predictions matter.

Spotter 3 Revealed: the next generation of our core intelligence agent

Watch ThoughtSpot's Francois Lopitaux unveil Spotter 3, the next generation of our core intelligence agent. Spotter 3 delivers boundaryless intelligence by accessing structured and unstructured data, transforming analysis into confident action. See Spotter 3 in Action: Spotter 3 is the core of our BI A-Team—transforming analysis by providing unlimited access to data and question types. This is the future of BI.

Kong AI/MCP Gateway and Kong MCP Server Technical Breakdown

"Too much information running through my brain." When The Police sang this opening line on their 1981 album Ghost in the Machine, they weren't thinking about artificial intelligence, but the sentiment perfectly captures the state of modern AI. The song warns of an overload of data that parallels how modern AI agents process extensive collections of messages and data.

What Is Real-Time Data? | AI IQ Challenge by Vizlib

Real-time data gives organizations the power to act the moment something changes. In this episode of the AI IQ Challenge, discover how Vizlib brings real-time insights directly into Qlik dashboards, enabling faster decisions without exports or delays. Ready to level up your data knowledge?

Did You Know? BlazeMeter AI-Enhanced Shift-Left Converter

Tired of the complexity and manual effort involved in migrating LoadRunner scripts? BlazeMeter's AI-Enhanced Shift-Left Converter is here to revolutionize the process. This cutting-edge tool automates up to 80% of manual work, supports over 190+ C functions, and ensures faster, more accurate script conversions to modern frameworks like JMeter and Taurus. In this video, we’ll explore: Whether you're looking to accelerate migration timelines, reduce costs, or improve script accuracy, this tool is your ultimate solution.

[Workshop 201] Beyond the Gateway: Governing Secure and Observable AI Agents

Join our 201-level session, "Beyond the Gateway: Governing Secure and Observable AI Agents," to move from managing simple AI calls to governing autonomous systems. Building on 101's foundation, this workshop provides the advanced blueprint to secure agent connections with granular, identity-aware policies and robust tool-use governance, ensuring you control what agents can access and which actions they can perform. We'll also dive into how to observe these autonomous interactions, using real-time behavior tracing and cost analysis to maintain performance and compliance.