Systems | Development | Analytics | API | Testing

Snowflake Ventures On Accelerating Startups In The AI Data Cloud

In this interview, Stefan Williams, VP of Corporate Development, shares Snowflake Ventures’ top priorities and why the pace of innovation across the AI Data Cloud matters for startups. Learn how native platform capabilities, including Cortex Search, Cortex Analyst, and the Cortex REST API, help reduce complexity and unlock faster innovation. The Snowflake ecosystem is where startups gain secure, trusted access to data and the opportunity to work with some of the world’s largest customers.

What is an MCP for Kafka with Tun Shwe

AI agents are only as good as the data they can access. In this video, we explore the Model Context Protocol (MCP) and how it creates a bridge between AI models and Apache Kafka. Learn how MCP allows AI agents to securely produce, consume, and manage Kafka topics in real-time—transforming your event streams into actionable context for LLMs.

AI Maturity and Adoption Across U.S. States in 2026

AI isn’t something we’re waiting for anymore. It’s already here. Every time you check directions, talk to your phone instead of typing, or unlock your device with your face, AI is doing the work in the background. The same shift is happening inside organizations. Companies and government agencies are using AI to answer questions faster, cut down manual tasks, support their teams, and improve how they serve people. But the real question is, Are U.S.

How to Use GenAI to Build Load Test Scripts in Apache JMeter | Sandeep Garg

This demonstration shall suggest those baby steps that should encourage most of us (the testers) to inculcate the habit of exploring* GenAI and LLMs. The exploration shall help understand why, what, where, when and how we should use these rapidly moving technologies to bring efficiency and better thinking in our day-to-day testing work.

Making AI Work in Real Teams. Operationalizing AI Explained | Melissa Tondi

Let's talk about the real-world journey of operationalizing AI—what it looks like behind the scenes when you’re scaling solutions, building support systems, and doing it all with a lean team. There are plenty of brilliant AI experts—folks doing deep work, research, experimentation, and implementation. This session complements and focuses on how to operationalize, centralize and scale your team, organization and company!

5 tips to build a durable career in the age of AI

“We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” That’s Amara’s Law, a principle coined by futurist Roy Amara. It explains how emerging technologies, like the early internet, are often overhyped at first, followed by a shift toward recognizing their value and integrating them over time. This thinking is a lot like what we’re seeing today with agentic AI.

Impact of AI in eCommerce in 2026 & beyond

Remember when Jarvis ran Tony Stark’s entire life and helped him build a high-tech Iron Man suit? That’s pretty much AI in eCommerce now, but instead of building suits, it’s building smarter stores and smoother shopping experiences. While most people are still stuck using AI to write basic product descriptions or churn out ad copy, the real power of artificial intelligence in commerce lies under the hood.

How to Build SLAs for Real-Time Dashboards with AI-ETL

Your executive dashboard shows yesterday's data while your competitors make decisions with information that's minutes old. This gap isn't just an inconvenience—it's a competitive disadvantage costing businesses millions in missed opportunities, delayed responses, and stale insights. Service Level Agreements (SLAs) for real-time dashboards solve this problem by establishing measurable commitments for data freshness, accuracy, and availability.

How we built an AI-first culture at Ably

Most companies talk about being “AI-first.” At Ably, we decided to actually become one. We build realtime infrastructure for AI applications. To do that credibly, we need to live and breathe AI ourselves – not just in our product, but in how we work every day. Two years ago, we began a company-wide push for AI adoption.