Скачать или смотреть Generating AI-ready Data: What Every Data Engineer Must Know | The Super Sessions🔊

On Friday, September 19, we transformed our weekly Jam Session into a full-day of Super Sessions! Join us at http://insightjam.com to catch the next Jam Session.

With Gartner predicting that 60% of AI projects will fail due to inadequate data preparation, this panel explores what "AI-ready data" actually means beyond traditional "good data" practices. Our expert panelists will tackle the questions:

• What does AI-ready data actually mean in practice?
• How does one get started?
• Are there some lessons we have already learned from people who have been doing this well?

And so much more!

Whether you're a data engineer looking to future-proof your skills, a data leader planning AI initiatives, or anyone involved in enterprise data strategy, this Super Session will give you actionable insights on building the data foundation that AI systems need to succeed.

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Panelists:
Sanjeev Mohan - Principal, SanjMo
‪@SanjeevMohan‬
  / sanjmo  
https://www.sanjmo.com/

Guy Adams - CTO Council Advisor, DataOps.live
  / guydadams  
‪@DataOps‬
https://www.dataops.live/

Aniket Kulkarni - Architect, AI & Cloud, Dremio
  / aniket-s-kulkarni  
‪@Dremio‬
https://www.dremio.com/

Andreas Blumauer - SVP Growth, Graphwise
  / andreasblumauer  
‪@GraphwiseAI‬
https://graphwise.ai/

Durgesh Mankekar - VP of Engineering, Promethium
  / durgesh-mankekar  
‪@promethiumai‬
https://promethium.ai/

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0:00:00 Welcome and expert introductions
0:08:24 What Makes Data AI-Ready
0:22:19 Strategic approaches and customer evolution patterns
0:35:17 Moving from ETL/ELT to AI-optimized architectures
0:44:45 Unstructured Data Integration
0:53:12 Accuracy and Trust in AI Systems
1:03:04 Session wrap-up and next steps