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Federal Tech Podcast: for innovators, entrepreneurs, and CEOs who want to increase reach and improve brand awareness
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Ep 198 Creating a Solid Foundation for AI
Manage episode 452002984 series 3610832
Inhoud geleverd door The Oakmont Group and John Gilroy. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door The Oakmont Group and John Gilroy of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
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When Qlik was founded in 1993, hard drives were measured in megabytes, and the Internet was primarily text-based. If lucky, you could get information in structured columns and formats.
Fast forward thirty years, and some estimate YouTube alone has 4.3 petabytes of data loaded every day.
The federal government certainly has its share of formatted data. A recent survey showed that 80% of data collected by the federal government is unstructured. This is information like text files, videos, or emails that are stored in many formats. As a result, it isn't easy to store and manage.
This has a real impact when an organization tries to take advantage of Artificial Intelligence.
Today, we sit down with Andrew Churchill to discuss creating a solid data foundation for AI. We detail topics like data movement, data streaming, and data quality during the discussion.
He differentiates between data lakes and data warehouses as strategies for handling all the unstructured data used for training AI models.
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