Big Data Rules For AI: Essential Data Management Principles

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Unlock the secrets to mastering Big Data in AI! 🚀 Ellie Najewicz dives into optimizing data management from collection to governance, ensuring high-quality data for AI development. Discover essential strategies for data lakes, automated ingestion, and data integrity for superior AI results.
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[@ryandejana3722]

Great job Ellie!!!!

[@terryfrancis975]

Excellent presentation Ellie, good content very well explained. Thank you. Very useful - 😎

[@lightlegion_]

Keep on creating; you’re doing an excellent job!

[@Hvemlol]

This video is so helpful. Good uploads on AI recently!

[@BeautifulJourneyOfLife]

Excellent! Thank you for sharing this valuable knowledge.

[@thesimplicitylifestyle]

High Quality Data = Human Value Alignment 😎🤖

[@Movewithmaheswar]

Nice info ❤

[@kekko7072]

Very interesting video, thank you very much! Can you explain a little bit more the standard organisation gurdarils? Just documentation? some examples? Thank you.

[@nmobrien4ify]

You want some mechanism or process to ensure the standard described in the documentation is reflected in the data lake. e.g. a script to check that image data is the correct size/format and convert it if not.

[@thanartchamnanyantarakij9950]

very good

[@proaxiom_cyber]

Data integrity is such a critical factor for AI success! What’s the biggest challenge you see in maintaining high-quality data for AI development?

[@jeevan88888]

High Trust Society?

[@charlesgoldt7943]

Rule #1: First.

[@hiddenworldshybins722]

🐞ladybug