Scale By the Bay 2023: Interview with Fabiana Clemente.
FunctionalTV interview with Fabiana Clemente.
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I'm Fabiana Clement and I'm Chief data I'm Fabiana Clement and I'm Chief data officer at Y data so in a nutshell aty data we are data so in a nutshell aty data we are developing this platform to support data developing this platform to support data scientists and achieving better data scientists and achieving better data quality um and we actually do it uh with quality um and we actually do it uh with AI so for example one of our Flagship AI so for example one of our Flagship features uh is the synthetic data features uh is the synthetic data Generation Um and to develop that Generation Um and to develop that feature we actively use uh models so um feature we actively use uh models so um from Deep learning models to any other from Deep learning models to any other generative type that allow us to generative type that allow us to replicate the behavior data over the next year we will uh I'll data over the next year we will uh I'll be keeping myself focused on of course be keeping myself focused on of course what's going on with the whole llm story what's going on with the whole llm story so it's it's it's hard to um not be so it's it's it's hard to um not be focused on that so definitely I'll um focused on that so definitely I'll um explore a bit more on the text space how explore a bit more on the text space how can we support B the practices around um can we support B the practices around um the usage of text for AI development um the usage of text for AI development um and more focused on both the profiling and more focused on both the profiling and the synthetic data generation so many right so um definitely uh I love so many right so um definitely uh I love to see a bit more uh on the data to see a bit more uh on the data engineering side we have been so to so engineering side we have been so to so many conferences lately all of them uh many conferences lately all of them uh around of course llms the models around of course llms the models themselves uh but I really enjoy seeing themselves uh but I really enjoy seeing uh different tooling like bad uh bite uh different tooling like bad uh bite waxs or even the the comparison of waxs or even the the comparison of different languages uh like rust we different languages uh like rust we haven't seen that much so definitely haven't seen that much so definitely those talks are something that I looking those talks are something that I looking forward for definitely uh if you are someone for definitely uh if you are someone looking for something very specific on looking for something very specific on the data engineering side you are the data engineering side you are looking into having um a good mix looking into having um a good mix between what is data applications and between what is data applications and the tooling that you can use to build the tooling that you can use to build applications on and the space of data applications on and the space of data engineering it's a great place to be as engineering it's a great place to be as well if you want just to connect and um well if you want just to connect and um do quite good networking
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