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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
The Oakmont Group and John Gilroy에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Oakmont Group and John Gilroy 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Connect to John Gilroy on LinkedIn https://www.linkedin.com/in/john-gilroy/
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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.
202 에피소드
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