Is Gen AI A Data Engineering or Software Engineering Problem?

Abstract: 

If you pulled aside a data engineer and asked him to create a chatbot program using an API to take an unstructured data user generated input, they would look at you with a bit of confusion and ask, “where’s the data?” These early days of Gen AI have made it appear to be mostly a software engineering and API integration project just like any other, and while software engineers have an important role to play, data teams need to roll up their sleeves and proactively find ways to use this new technology to unlock opportunities. Large companies with large ambitions are creating unique models, but as the production and talent democratizes this will become a competitive advantage for most companies.

Bio: 

Barr Moses is the CEO & Co-Founder of Monte Carlo, a data reliability company and creator of the industry’s first Data Observability Platform, backed by Accel, GGV, Redpoint, ICONIQ Growth, Salesforce Ventures, and other top Silicon Valley investors. She is a co-author of O’Reilly first-ever book on data quality and observability, Data Quality Fundamentals.

Open Data Science

 

 

 

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