Systems | Development | Analytics | API | Testing

Every company faces the perennial problem of data integration but often experiences data silos, data quality issues, and data loss from point-to-point, batch-based integrations. Connectors decouple data sources and sinks through Apache Kafka, simplifying your architecture while providing flexibility, resiliency, and reliability at a massive scale.

Are we in an AI bubble? We can't stop talking about AI in tech. It's at every conference and in every startup pitch. But is the rest of the world as enamored as we are? In this conversation, we explore AI’s impact beyond the echo chamber of the tech industry. We look at attitudes toward AI in other spaces, from healthcare to finance, weighing the risks and benefits of its application. We also look to the future, questioning whether we’ve reached the limits of AI given compute power constraints.

Join us to learn about the AI Gateway concept and explore the rapidly evolving landscape of large language models (LLMs) in modern applications. With the surge of AI providers and the lack of standardization, organizations face significant challenges in adopting and managing AI services effectively. Kong's AI Gateway, built on the proven Kong Gateway platform, addresses these challenges head-on, empowering developers and organizations to harness the power of AI quickly and securely.

Dedicated Cloud Gateways in Kong Konnect on AWS - Hands-on DemoDedicated Cloud Gateways in Kong Konnect on AWS - Hands-on Demo How to effortlessly provision, manage, and scale your global API infrastructure using Dedicated Cloud Gateways.

Data practitioners spend much of their time on complex, fragmented and sometimes, repetitive tasks. This limits their ability to focus on strategic insights and maximize the value of their data. Gemini in BigQuery shifts this paradigm by providing AI capabilities that help streamline your workflows across the entire data lifecycle.