Modernizing platforms for the AI-driven future is essential. Aiven’s data and AI platform empowers businesses to thrive in this ever-evolving digital landscape. In this Data (R)evolution episode, Aiven’s Bob Krygowski and Stu Garrow explain how to tackle the challenges of scaling a company, benefits of multicloud flexibility, the role of organizational sponsorship, and the innovative "Bring Your Own Cloud" (BYOC) concept. Our discussion also covers open-source technology and cloud portability—key elements for modernizing your infrastructure in an AI-driven future.

Utilizing the true potential of data streaming is key to business success. In this Data (R)evolution episode, we're joined by Josep Prat and Filip Yonov to dive into the transformative features of Apache Kafka and its evolving role in data architecture. They discuss the critical importance of collaboration and feedback in enhancing Kafka's capabilities, the future of "lake house" technology, exciting updates from the Open Source Program Office (OSPO), and the importance of Kafka's readiness to support evolving data formats—making it a backbone for modern data ecosystems.

Adopting cloud technology to gain velocity and agility in the marketplace allows companies to focus on what matters most. However, this transition isn't without its risks. In this episode of Data (R)evolution, hosts Janki Patel Westenberg and Francesco Tisiot are joined by Dave Li, former Senior Software Engineer at Helthjem, and Oded Valin, Co-Founder & CEO at EverSQL, to discuss the application of AI in database management, the importance of expertise in cloud adoption, and the need for streamlined tools in an increasingly data-driven world.

In a world that's increasingly dependent on digital ecosystems, how do you ensure that your platform stands up to the demands of security and compliance?

Having a slow PostgreSQL or MySQL? Check out how you can get a holistic view of your database workloads and AI-driven optimization suggestions for indexes and SQL rewrites.

In the world of software development, caching is a crucial yet complex component. What happens when one of the most popular caching systems, Redis, changes its license, sending shockwaves through the community? And how does a company pivot to not one but two solutions to ensure high-performance data management? Today's discussion dives deep into one of the most critical and often-overlooked components of the software industry—caching.

Imagine a world where databases not only store vast amounts of data but autonomously optimize themselves, predict future trends, and seamlessly integrate with AI. In this Data (R)evolution episode, we share a fascinating conversation with Soumya Bijjal, the VP of Product at Aiven, and John Joseph Kennedy, the Head of Databases at Aiven, about the future of AI, databases, and data platforms. They dissect the current AI landscape, the challenges companies face, and the transformative potential of integrating AI with data systems.

Aiven AI Database Optimizer: Troubleshoot PostgreSQL and MySQL database performance issues within seconds, get instant optimization recommendations, and reduce your databases cost. Powered by EverSQL by Aiven.

In this workshop we’ll work together to generate embeddings for podcast transcriptions and load that data into OpenSearch. Then we’ll search the documents using similarity search and use those results to improve our responses from an LLM (Large Language Model). Along the way we’ll explain the Retrieval Augmented Generation (RAG) pattern and show how it’s possible to try different LLMs without having to completely rewrite your code.