

حمایت شده
Matt Rocklin has been in the center of the Python renaissance in enterprise data science, at Anaconda, NVIDIA, and now Coiled, Matt's start-up focused on helping enterprises more easily deploy parallelized python in production at scale. Artificial Intelligence (AI) & Machine Learning (ML) are two of the most important technologies of our time, data scientists write the algorithms that make it possible. Coiled is enabling more data scientists to do their job better by removing friction, both for scaling (to the cloud) and working within the confines of corporate governance, compliance, and economic requirements. In this far-ranging interview, Matt discussed the continuing advances in data science, open-source in the enterprise, the python resurgence, and the challenges of building a company during a global pandemic. Thanks Matt Transcript and Show Notes LinkedIn Article YouTube Video DISCLOSURE*: This interview was sponsored by Coiled. Neither Coiled nor other sponsors have editorial control over the content.
40 قسمت
Matt Rocklin has been in the center of the Python renaissance in enterprise data science, at Anaconda, NVIDIA, and now Coiled, Matt's start-up focused on helping enterprises more easily deploy parallelized python in production at scale. Artificial Intelligence (AI) & Machine Learning (ML) are two of the most important technologies of our time, data scientists write the algorithms that make it possible. Coiled is enabling more data scientists to do their job better by removing friction, both for scaling (to the cloud) and working within the confines of corporate governance, compliance, and economic requirements. In this far-ranging interview, Matt discussed the continuing advances in data science, open-source in the enterprise, the python resurgence, and the challenges of building a company during a global pandemic. Thanks Matt Transcript and Show Notes LinkedIn Article YouTube Video DISCLOSURE*: This interview was sponsored by Coiled. Neither Coiled nor other sponsors have editorial control over the content.
40 قسمت
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