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Innehåll tillhandahållet av Aiven. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Aiven eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
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Building Smart Data Platforms with AI to Drive Business Innovation

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Innehåll tillhandahållet av Aiven. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Aiven eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

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:

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

  continue reading

10 episoder

Artwork
iconDela
 
Manage episode 424207948 series 3575842
Innehåll tillhandahållet av Aiven. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Aiven eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

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:

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

  continue reading

10 episoder

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