After the success of the previous event, Stefan from Hamilton will be hosted once again by the Tesseract Academy on another iteration of the same webinar!
Are you building out or looking to build out a data science (DS) /machine learning (ML) or artificial intelligence (AI) capability? If so, here’s a webinar to help you lay the foundation to get your initiative out successfully.
Building DS/ML/AI capabilities are important for companies to differentiate themselves in today’s competitive landscape. But, often early initiatives lead to failure because of mismatched expectations between what’s promised and what’s delivered. In this session we’ll cover common failures and how to avoid them/identify them early to mitigate them, as well as an overview of the expectation setting, skill sets, tooling, and infrastructure that’s commonly required to enable you to get from 0 to 1 successfully.
You can book tickets here.
About the speaker: Stefan Krawczyk
A hands-on leader and Silicon Valley veteran, Stefan has spent over 15 years working across many parts of the stack. For the last decade, he’s focused primarily on data and machine learning related systems and their connection to building product applications. He has built many 0 to 1 and 1 to 3 versions of these systems at places like Stanford, Honda Research, LinkedIn, Nextdoor, Idibon, and Stitch Fix.
A regular conference speaker, Stefan has guest lectured at Stanford’s Machine Learning Systems Design course and is an author of a popular open source framework called Hamilton.
Stefan is currently CEO and co-founder of DAGWorks.
