Systems | Development | Analytics | API | Testing

Building AI agents is just the beginning. The real value comes when these agents are connected to your enterprise data and systems in a meaningful way. This means moving beyond isolated tasks and enabling agents to interact with real-time data, external applications, and business logic through seamless integration. But traditionally, that requires coding, API management, and technical expertise. What if you could skip all that?

As enterprises race to integrate AI into their workflows, a critical truth is emerging: success isn’t defined by the size of your model—but by the strength of your infrastructure. Join Hugo Guerrero, Principal Technical Product Marketing Manager at Kong, and Alex Salazar, Co-Founder/CEO of Arcade.dev, for a live conversation on how APIs and the right tooling can unlock the full potential of AI agents in real-world enterprise environments.

Confluent’s Addison Huddy breaks down hybrid cloud and on-prem streaming with a bold metaphor and platform overview.

Blockchain may be decentralized, but reliable access to its data is anything but simple. In this episode, Ethan Chan, Co-Founder & CEO of Allium, shares how his team transforms blockchain firehoses into clean, queryable, real-time data feeds. From the pitfalls of hosting your own data streaming infrastructure to the business advantages of Confluent Cloud, Ethan reveals the strategic decisions that helped Allium scale from 3 to nearly 100 blockchains, without burning out their engineering team.

Ethan Chan, CEO of Allium, reveals the hidden costs of self-managing data streaming and why Confluent Cloud saved him and his team from late-night pager duty.#datastreaming.

In this live demonstration, DreamFactory's CTO walks us through creating a secure access layer for LLMs to communicate with our databases. This innovative way of exposing data via MCP and robust RBAC policies ensures AI is not able to reach any of your sensitive data.