How we transformed customer support with Fivetran-enabled AI
Customer relations excel when support teams can access knowledge at scale.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
AI Is Either Reshaping Your Business or Decorating It
At Qlik Connect, one question kept coming up in conversations with leaders: “Which AI vendor should we pick?” But I think that’s the wrong starting point. The better question is: What kind of company do you want to become over the next three years? Right now, most organizations are heading down one of two paths with AI. Some are bolting it onto existing workflows to improve efficiency.
CEOs are Being Lied to About AI Productivity
Is your organization actually driving value with AI, or just scratching the surface? @SPGlobalMarketIntelligence's Saugata Saha joins to share the 4-part journey to real AI maturity. He warns that without a deliberate action plan to completely transform day-to-day employee workflows, any productivity gains will just be "squishy" metrics that fail to impact the bottom line. Head over to your favorite listening platform to catch the full episode!
Stop Token Maxing: Mock Your LLM API Calls and Cut AI Costs to Zero
Stop wasting money on AI API tokens in your local, test, and CI environments. In this demo, I show how to record real LLM responses and replay them for free using proxymock and stop surprise bills.
How to Create an AI-Generated Business Report in 2026 (Step-by-Step)
Get AI-generated reports that explain why your metrics changed, not only what happened, using connected live data, specific prompts, and a six-step process.
Before You Launch Retail AI Shopping Features, Read This
There’s a version of this story that gets told at conferences. A retailer demos a conversational shopping assistant. The recommendation engine surfaces exactly the right product.
The Truth About AI Web Development and Dev Productivity
Can AI solve the PHP talent shortage — or does it introduce new challenges? In this clip from a recent Zend webinar, “The 2026 State of PHP,” PHP experts Matthew Weier O’Phinney and Adam Culp explore how AI web development is changing the way teams modernize applications, and why AI alone isn’t the answer. AI is already accelerating development workflows, helping teams generate code, document processes, and move faster through modernization projects. But when it comes to replacing skilled engineers, the reality is more nuanced.
What Is a Context Graph and Why Does AI Need One?
The context graph — not the UI layer or system of record — is the true competitive IP of the AI era, and Kong built Context Mesh to help companies govern it. Without the right context layer, AI agents are generic and interchangeable regardless of which LLM is underneath. Companies that own and protect their context graph can differentiate their agentic workflows; those that don't are left with legacy CRUD backends that don't translate to agentic use cases. Context Mesh gives enterprises policy and governance over what agents can consume — the rulebook for all context flowing in and out.#Shorts.
Turn Your Agents Into Kafka Experts with Skills. Live from Current London
Most AI agents are generalists that struggle with the nuances of streaming data and Kafka infrastructure, often leading you down a rabbit hole with many tokens spent. In this session, live from Current London, we’ll show you how to close the context gap with Skills for Kafka: structured files that are playbooks and level-ups for agents to handle complex multi-step tasks like reviewing schema changes, critiquing DLQ policies and auditing topics for best practice. We will walk through how these skills work, demonstrate the different ways to use them (including with MCP servers) in Cursor and Claude.