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. 

Key Takeaways:

1. Focus on advanced data processing and streaming technologies like Kafka to maintain data accuracy and timeliness.
2. Tools like Aiven AI Database Optimizer provide automated recommendations for optimizing queries and indexes, which helps accelerate performance and reduce cloud costs without requiring extensive DBA expertise.
3. Companies should experiment with new technologies to stay ahead while relying on tried-and-tested solutions for critical production workloads.

Resources:

• Watch the full interview on our YouTube: https://www.youtube.com/@Aiven_io
• Check out our website for more information: https://aiven.io/
• Check out Aiven AI Database Optimizer 
• Want to be on our mailing list? Sign up here: https://aiven.io/resources
• Follow us on LinkedIn: https://www.linkedin.com/company/aiven/
• Sign up for our newsletter for more insights on this topic: https://aiven.io/newsletter
• Connect with Soumya on LinkedIn: https://www.linkedin.com/in/soumyabijjal/?originalSubdomain=fi
• Connect with John on LinkedIn: https://www.linkedin.com/in/john-kennedy-5216b112/?originalSubdomain=uk

Timestamps:

[01:28] Soumya’s feelings towards AI 

[06:34] Stream processing tech offers trial and error

[08:37] Data quality, trust, and AI optimization impact

[12:21] Balancing new technologies while ensuring production safety

[14:49] The EverSQL acquisition

[18:17] Janki and Francesco’s top takeaways