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Sisällön tarjoaa Aiven. Aiven tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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Building Smart Data Platforms with AI to Drive Business Innovation

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Manage episode 424207948 series 3575842
Sisällön tarjoaa Aiven. Aiven tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

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

11 jaksoa

Artwork
iconJaa
 
Manage episode 424207948 series 3575842
Sisällön tarjoaa Aiven. Aiven tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

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

11 jaksoa

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