About this episode
In this episode, Amir interviews Kunal Agarwal, the co-founder and CEO of Unravel Data. They discuss purpose-built AI and how Unravel Data leverages AI in their platform. They also explore the symbiotic relationship between AI-driven products and engineering teams. Kunal explains that Unravel Data is a data observability and FinOps platform data engineering teams use to ensure data applications run smoothly and efficiently. They also discuss the importance of scaling data operations and managing costs in a rapidly growing data landscape. This episode highlights AI's role in improving engineers' lives and optimizing data operations.
Highlights:
[00:01:25] Purpose-built AI for data.
[00:05:39] Shift to narrow AI solutions.
[00:09:54] Automating repetitive tasks.
[00:12:09] Data engineers' time-consuming tasks.
[00:17:33] Automated testing and checks.
[00:19:43] Why is this thing so expensive?
[00:24:44] Understanding unit cost and optimization.
[00:27:57] Optimization opportunities with AI.
Guest
Kunal Agarwal is CEO and Co-founder of Unravel Data, a data observability and FinOps platform that utilizes purpose-built AI to enable large enterprises to deliver on the promise of data-driven products and insights with speed, scale, and cost efficiency. Kunal started his entrepreneurial journey by co-founding Yuuze.com, a pioneer in e-commerce personalization. He has held sales and implementation leadership roles for Oracle products at several Fortune 100 organizations and helped Sun Microsystems run its Grid Computing Engine. In addition to building and steering the Unravel Data team, Kunal is passionate about drifting cars sideways around the track at 100 mph+.
LinkedIn: https://www.linkedin.com/in/kunalkunal/
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