We collect the latest Development, Anaytics, API & Testing news from around the globe and deliver it direct to your inbox. One email per week, no spam.
Elevate your infrastructure management with this two-hour workshop series to get hands-on experience with the Kong Gateway Operator and Kong AI Gateway. Begin with mastering Kubernetes ingress automation through the Kong Gateway Operator, then advance to building secure AI infrastructure with Kong AI Gateway. This comprehensive session equips you with practical skills for both traditional application deployment and cutting-edge GenAI implementation—all within the Kong ecosystem.
“AI is inevitable, but is your data ready for all AI has to offer?” That was the unspoken question every keynote, panel, and hallway conversation sought to answer at the 2025 Gartner Data & Analytics (D&A) Summit. Gartner’s response was loud and clear: AI can drive incredible value, but without a good data foundation, it’s garbage in, garbage out.
We know the role that AI can play in modern business, and the benefits it brings to employees and customers. But launching and sustaining a successful AI project remains a critical challenge for many organizations. Technology leaders across the globe are being tasked with using AI to drive business success, and it is becoming a vital pillar in reaching strategic goals.
Artificial intelligence (AI) agents are everywhere. Salesforce has Agentforce, Google launched Agentspace, and Snowflake recently announced Cortex Agents. But there’s a problem: They don’t talk to each other. Your customer relationship management (CRM) agent doesn’t know what insights your data warehouse agent has. Your knowledge retrieval agent operates in isolation. Instead of having a connected AI ecosystem, we’re repeating history and creating AI silos.
Next.js (a React framework) and Vercel (the platform created by the Next.js team) are renowned for providing a smooth and efficient development workflow. This allows developers to quickly build, test, and iterate on interfaces for AI features, which is crucial in the rapidly evolving AI space. Features like Fast Refresh, easy setup, and integrated tooling speed things up considerably.
We’ve seen how Snowflake AI tools are transforming outcomes for our customers. From saving 4,000 hours a year on manual email intake to treating more patients in emergency rooms to saving 75% of costs, AI in Snowflake is making a real impact on businesses around the world. That same transformative power is at work within Snowflake, too.
Today, we’re excited to unveil Kong AI Gateway 3.10! This release introduces new functionality to enhance AI governance, reduce LLM hallucinations, and accelerate developer productivity when working with AI. Read on to learn more.
The excitement around large language models (LLMs) and agentic AI is justified. These systems can summarize, generate, reason, and even take actions across APIs — all with minimal human input. However, as enterprises race to integrate LLMs into real-world workflows — especially when those enterprises operate in regulated environments and/or deal in sensitive data — one fundamental question looms large.