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The intelligent data platform - a database for the AI era

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Manage episode 438273134 series 2990464
Content provided by Hewlett Packard Enterprise. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hewlett Packard Enterprise or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The global market for databases grew by 12.8% in 2023, according research by Gartner, and is now worth some $102bn annually. Within that, data science and AI platforms were the fastest-growing subsegments.

Clearly, there’s a growing need for smart database solutions that can interpret data and provide insights to all levels and roles within an organization. And it’s one of those solutions we’re looking into today - HPE’s Intelligent Data Platform. Joining us today to find out more is Rangan Sukumar, a distinguished technologist in the chief technology office at HPE, responsible for HPC and AI.

This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.

Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA

About this week's guest: https://www.linkedin.com/in/rangan/

Sources and statistics cited in this episode:
Gartner research into the database segment: https://www.gartner.com/en/documents/5485495
KPMG research into data platforms: https://assets.kpmg.com/content/dam/kpmg/nz/pdf/2023/09/data-platforms-in-2024.pdf
Department of Transportation policy on smart highways: https://www.its.dot.gov/research_areas/emerging_tech/pdf/Accelerate_V2X_Deployment.pdf
Technology Untangled podcast episode on autonomous vehicles: https://www.technologyuntangled.fm/episodes/autonomous-vehicles-are-we-steering-in-the-right-direction

  continue reading

79 episodes

Artwork
iconShare
 
Manage episode 438273134 series 2990464
Content provided by Hewlett Packard Enterprise. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hewlett Packard Enterprise or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The global market for databases grew by 12.8% in 2023, according research by Gartner, and is now worth some $102bn annually. Within that, data science and AI platforms were the fastest-growing subsegments.

Clearly, there’s a growing need for smart database solutions that can interpret data and provide insights to all levels and roles within an organization. And it’s one of those solutions we’re looking into today - HPE’s Intelligent Data Platform. Joining us today to find out more is Rangan Sukumar, a distinguished technologist in the chief technology office at HPE, responsible for HPC and AI.

This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.

Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA

About this week's guest: https://www.linkedin.com/in/rangan/

Sources and statistics cited in this episode:
Gartner research into the database segment: https://www.gartner.com/en/documents/5485495
KPMG research into data platforms: https://assets.kpmg.com/content/dam/kpmg/nz/pdf/2023/09/data-platforms-in-2024.pdf
Department of Transportation policy on smart highways: https://www.its.dot.gov/research_areas/emerging_tech/pdf/Accelerate_V2X_Deployment.pdf
Technology Untangled podcast episode on autonomous vehicles: https://www.technologyuntangled.fm/episodes/autonomous-vehicles-are-we-steering-in-the-right-direction

  continue reading

79 episodes

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