Model Context Protocol (MCP) enables conversational operation of the Fivetran API through AI. Just give the word to build data pipelines automatically.
In today's digital-first world, we face a profound paradox. The technology that connects us, powers our businesses, and fuels innovation is also leaving a significant and growing impact on the environment. Data centres use more energy than certain nations, harmful code wastes gigawatts of electricity, and the ongoing need for more powerful gear means that creation and disposal never stop.
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.
The updates we make to Perforce ALM are deeply influenced by the real-world challenges our users face. We understand that those who work in highly regulated industries need trustworthy tools that deliver precision, traceability, and efficiency. That’s why we plan each round of ALM enhancements based directly on user comments and suggestions. This quick guide will look at recent updates around tagging and filtering and how to leverage these features for a more intuitive and efficient user experience.