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E53: Tomasz Tunguz on the Evolution of the Data Ecosystem
"Turpentine VC" | Venture Capital and Investing
Evolving Data Collaboration Fuels Innovation
The distinction between buyer personas at the Snowflake and Databricks Summits highlights the evolving landscape of data and analytics roles. Traditionally, the data pipeline was segmented between engineering and data teams, with each operating in parallel. However, the emergence of AI and machine learning has shifted this dynamic, allowing engineers to take an active role in the data output process. This integration encourages collaboration in building practical applications, like recommendation systems and chatbots, that draw directly from the data teams' insights, leading to a more innovative and responsive approach to business intelligence and customer engagement.
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