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. “But this is why the way we’re trying to approach this is by having a very different hypothesis than most point-to-point tools out there. […] I come into this game with the mindset that I don’t care how long it takes me to build this product, but if I have a clean slate, how would I build this product?
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Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Twitter: [link] Linkedin: [link]. Twitter: [link] Linkedin: [link].
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What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?—?in i.e. plan and apply in addition to remote state management?—?now
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For all practical purposes, GPT was the only game in town back in 2023. These other models dont yet show up significantly in search or usage data, but the users of our platform have figured out whats important: not learning about GPT or Claude or Gemini or Mistral but getting the background you need to make sense of any model.
A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “dataengineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” Usage of content about C is essentially flat, down 3%.)
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