Assessing a startup's data-to-AI health
Yanir Seroussi | Data science and beyond
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2d ago
Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front ..read more
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AI does not obviate the need for testing and observability
Yanir Seroussi | Data science and beyond
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1w ago
It’s easy to prototype with AI, but production-grade AI apps require even more thorough testing and observability than traditional software ..read more
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LinkedIn is a teachable skill
Yanir Seroussi | Data science and beyond
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1w ago
An high-level overview of things I learned from Justin Welsh’s LinkedIn Operating System course ..read more
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My experience as a Data Tech Lead with Work on Climate
Yanir Seroussi | Data science and beyond
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2w ago
The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting & fractional work ..read more
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The data engineering lifecycle is not going anywhere
Yanir Seroussi | Data science and beyond
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2w ago
My key takeaways from reading Fundamentals of Data Engineering by Joe Reis and Matt Housley ..read more
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Artificial intelligence, automation, and the art of counting fish
Yanir Seroussi | Data science and beyond
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3w ago
Discussing the use of AI to automate underwater marine surveys as an example of the uneven distribution of technological advancement ..read more
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Atomic Habits is full of actionable advice
Yanir Seroussi | Data science and beyond
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1M ago
I put the book to use after the first listen, and will definitely revisit it in the future to form better habits ..read more
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Questions to consider when using AI for PDF data extraction
Yanir Seroussi | Data science and beyond
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1M ago
Discussing considerations that arise when attempting to automate the extraction of structured data from PDFs and similar documents ..read more
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Two types of startup data problems
Yanir Seroussi | Data science and beyond
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1M ago
Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they’re likely to face ..read more
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The two types of startup data problems
Yanir Seroussi | Data science and beyond
by
1M ago
Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they’re likely to face ..read more
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