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Model Context Protocol (MCP) enables conversational operation of the Fivetran API through AI. Just give the word to build data pipelines automatically.
In the age of automation, raw data isn’t enough. Businesses are now realizing that AI data enrichment, which is the process of enhancing existing data with intelligent, contextual information, is the key to unlocking more accurate insights, better personalization, and more efficient operations. The challenge? Making enrichment operational. That’s where Integrate.io comes in.
We’ll always remember 2025 as the year AI code assistants went big. Copilot, Cursor, Claude, Windsurf, whatever. Developers went from mistrusting these tools, to being expected to turn over much of their coding labor to them. Even if, according to an extensive Stack Overflow survey, only 3 percent of professional developers say they ‘highly trust’ AI coding tools.
Do you know where your data is? The number of people who can pat their server and say fondly, “Right here!” is decreasing. Instead, more people are lifting their eyes to the heavens and answering, “Um… up there… somewhere…” McKinsey reports that in 2025, large enterprises have 60% of their environment in the cloud. If you’re considering moving your data assets, processes, and applications to the cloud, you’re in good company.
Kong AI Gateway 3.12 brings native MCP governance, security, and observability to agentic AI—plus on-the-fly REST-to-MCP autogeneration and the open-source Volcano SDK for building MCP-powered agents. What you’ll learn.
Agents are just applications with an intelligence layer. This session shows why secure, reliable, discoverable APIs—and a developer platform—are the foundation for AI-native workflows. See live demos of Kong Konnect, AI Gateway, Event Gateway, MCP-enabled dev portals, AI Composer/Runner, and Kai. What you’ll learn: Learn more: Subscribe for more on API platforms, service connectivity, and AI-native architecture.
Most finance leaders are curious about AI—but hesitant to adopt it. The concern makes sense: what happens if automated systems pull the wrong data or miss critical details? Yet finance teams need some help. Teams are stretched thin. Reporting cycles are taking too long. When they’re relying on manual processes, they can’t keep pace with growth. Sound familiar? On a recent episode of the podcast “Don’t Panic!
If you’ve searched for a new home in the UK, or had a sneak peek at what your neighbour’s place sold for, there’s a high chance you’ve landed on Rightmove. In 2024 alone, its website and app combined were visited a staggering 2.3 billion times, making it the UK’s fourth most visited platform, just behind the BBC and the UK Government. Since launching in 2000, Rightmove has positioned itself as the go-to place for buying, selling or renting a property in the UK.
Learn how Perfecto AI integrates seamlessly into your Test-Driven Development (TDD) workflow, allowing you to build robust tests for new features before they are even developed. This demonstration illustrates the TDD process in action using agentic AI, showing how enterprises can adopt AI even while still using scripted test automation. What you will see in this video: This short demo is essential for.
How are you managing your teams in the age of AI? Some are moving fast...but not always efficiently. Others are finding balance between automation and human insight. At Perforce, we call this mindset “Shift Up.” Because it’s not about replacing people —it’s about elevating them.