HFS first wrote about automated data science last year, calling out the need to improve the data science lifecycle to make tasks cheaper, faster, easier, and, increasingly, autonomous and self-remediating. Business leaders should prepare for automated data science to become commonplace—not necessarily as a way to entirely replace data scientists but to significantly boost their capabilities. This is where San Francisco, CA-based startup SigOpt’s capabilities shine. In the five years since its founding, SigOpt has helped its clients get the most value out of their AI investments by providing a way to tinker with their ML models at scale to make them more effective.
April 20, 2021 Your mega-compendium of HFS OneOffice Hot Vendors organised by change agents, business services, IT services, industry and A-Z.
November 27, 2018 In this POV, we’ll explore the emergence of Automated Machine Learning (AutoML) which is making it much more feasible to use machine learning algorithms to
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