ဤအပိုင်းအကြောင်း
Legacy Data warehouses are becoming too heavy to support AI initiatives, Rohit Sivaprasad, Head of Data Science and Engineering at Adobe Stock, explains how his team is systematically decluttering years of accumulated technical debt while building the semantic foundation that AI agents will need to access organizational data.
The conversation covers the specific challenges and use cases of Adobe Stock's hybrid business model (B2B and B2C, subscription and ecommerce. Rohit shares his approach to agentic data engineering and the changes data platforms need to go through in the AI era.
Chapters:
00:48 Introduction: Adobe’s use cases and challenges
07:32 Decluttering data warehouses
12:42 Priorities for 2026
14:15 Challenges of agentic data engineering
19:30 Data platform changes required to support the scale of AI
21:55 The value in AI initiatives - envisioning the future
Rohit Sivaprasad leads data science and engineering at Adobe Stock, the creative marketplace platform. Rohit has data science and analytics work at Walmart, Meta, and AWS.
Roy Daniel is the Co-Founder & CEO of definity, the optimization and observability platform for the Lakehouse and Spark ecosystem.
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