Why data and AI strategies must be linked (and how to make it happen)
Discover insights from a recent TDWI expert panel on integrating data and AI platforms.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
MCP in Kong Konnect
Exploring the power of MCP (Model Context Protocol) but concerned about security and control? This video provides a hands-on demonstration of how you can leverage the robust capabilities of the Kong Konnect platform to protect your MCP endpoints.
Truck Talk | Snowflake Superheroes Share Their Excitement About AI
The Snow Mobile hosted a handful of Snowflake Superheroes at our HQ in Menlo Park. In this episode of Truck Talk, they tell us about what excites them most about AI.
The Rise of the Data Operator: Why the Future of AI Depends on Them
We are entering a new era in enterprise data: the era of the Data Operator. As AI becomes core to every business process, every team is being asked to move faster, act smarter, and operate with real-time data. But the old stack isn't built for that. It's built for centralization. For gatekeeping. For data engineers and IT teams to own every flow, sync, and transformation. That model is breaking down. Why? Because the need for data has exploded at the edge of the business. Customer teams. RevOps.
Claude Code: Using AI to build a custom connector with Fivetran's Connector SDK
Resources: And get Fivetran’s latest news at.
Snow Report: What's Happening At Snowflake In August
This month's Snow Report provides details on some recent product announcements, including Snowflake ML Jobs and new AI observability tools. You'll also find news about upcoming, online technical workshops designed to help you make the most of Openflow and Cortex AI.
AI That Doesn't Just Automate- It Elevates Your DevOps #shorts
Imagine tests that write and fix themselves. Infrastructure that corrects drift before you notice. Security that’s proactive, not reactive. Our AI doesn’t replace your expertise. It supercharges it.
Give Your AI a Sandbox Proxymock for Smarter Code! #speedscale #proxymock #ai
Battling soaring AI coding tool bills? Proxymock offers an AI sandbox with real production data. Build, test, & iterate without the risk (or cost!).
Accelerating Model Context Protocol (MCP) Journey with SmartBear API Hub
In the evolving landscape of AI applications, the Model Context Protocol (MCP) emerges as a pivotal standard, facilitating seamless integration between large language models (LLMs) and external tools, data sources, and services. By standardizing these interactions, MCP enables AI systems to perform complex tasks with enhanced context and precision. To harness the full potential of MCP, developers require robust tools that ensure reliability, scalability, and efficiency.
From Siloed Sensors to Smarter Predictions: Data AI Gateways in Industrial IoT
Manufacturers are drowning in data but struggling to use it effectively. Sensors on factory floors generate massive amounts of information - temperature, vibration, pressure - but much of it sits in isolated systems, creating "data silos." These silos prevent real-time decisions, predictive maintenance, and cost savings. The solution? Data AI Gateways. These gateways unify isolated sensors, process data locally with edge computing, and translate protocols to connect legacy equipment with modern systems.