The 12 Data Layers Explained with Tarush Aggarwal
In this episode of the AI for Sales Podcast, Chad is joined by Tarush Aggarwal, Founder and CEO of 5x. The modern data stack keeps growing and Tarush details what the current 12 layers of data look like and represent to companies. He shares how they help companies use AI to allow them to focus on business value and let them organize the first 5 data stacks to do this. The next layers involve the question of standardization of core platforms as these are the experimentation layers.
The AI for Sales Podcast · Chad Burmeister, The AI For Sales Podcast, Tarush Aggarwal
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Show Notes
HIGHLIGHTS
- 12 data layers explained and 5x's service to stitch them together
- Case studies of companies improving their data efficiencies
- AI in future sales: Use AI to come up with recommendations
- AI and jobs: Data scientists will be in high demand
QUOTES
Tarush: "The first 5 layers of the stack are kind of pretty well-understood and, at that point, that's kind of verticalized but more sort of horizontal. But in terms of the other capabilities which the modern data stack can start to provide, we sort of get into data lineage and data catalog."
Tarush: "We take the modern data stack and stitch together and provide it as a service. So as a business, you're kind of good to go on day 1, you don't need to worry about signing enterprise contracts or figuring out how it all plays together."
Tarush: "A lot of the core problems before AI need to be commoditized, what are some of those problems, right? A big part of that problem is the infrastructure of the data platform required to get to a point where you have stable, clean, highly-modeled data which is, again, the sort of 5 layers."
Learn more about Tarush and connect with him in the links below:
- LinkedIn: https://www.linkedin.com/in/tarushaggarwal/
- Website: https://5x.co/
- Email: [email protected]
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