Systems | Development | Analytics | API | Testing

Confluent CEO Jay Kreps shares how unifying batch and streaming workflows lets teams build, test, and deploy AI-ready data pipelines–in real time.

Qlik Open Lakehouse is a fully managed capability within Qlik Talend Cloud that makes it easy, effortless, and cost-effective for users to ingest, process, and optimize large amounts of data in Apache Iceberg. With Qlik Open Lakehouse, you can now set up a Lakehouse in your Amazon S3 environment, load data directly into Apache Iceberg tables, and optimize it continuously - all with just a few clicks.

Appian is the leading process platform. The latest release expands Appian's intelligent document processing capabilities to easily extract information from an even wider variety of documents, and sync more data and documents into Appian data fabric.

AI and real-time data automate credit checks, speed mortgage approvals.

No need to learn complex tools or formulas. With Astera’s AI-powered Data Prep, you can clean and organize medical data just by typing what you want in plain English. There are no confusing clicks or steps. Just tell the tool what you need, and it does the work for you. Watch how easily you can reshape complex medical datasets for filtering, reporting, and dashboards using natural language commands in a chat-based interface.

The Appian Platform brings,, and together in a low-code environment so you can unleash digital innovation. With Appian, you’ll automate and optimize your processes from beginning to end so you can compete and win in our rapidly changing world.

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

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.

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?