The turnkey high-compliance AI platform
Companies that deploy and operate ML and AI models in production, scale to multiple data science teams and workflows, and need a reproducible and collaborative experimentation environment must often invest substantial effort in assembling their internal AI platforms. This is harder for high-compliance industries—where personal, medical, financial, or educational data must be used for both model training and inference—while maintaining privacy and compliance requirements. David Talby demonstrates a turnkey, complete, scalable, and highly secure AI platform that delivers this functionality to Fortune 500 companies today.
David Talby is a chief technology officer at Pacific AI, helping fast-growing companies apply big data and data science techniques to solve real-world problems in healthcare, life science, and related fields. David has extensive experience in building and operating web-scale data science and business platforms, as well as building world-class, agile, distributed teams. Previously, he led business operations for Bing Shopping in the US and Europe with Microsoft’s Bing Group and built and ran distributed teams that helped scale Amazon’s financial systems with Amazon in both Seattle and the UK. David holds a PhD in computer science and master’s degrees in both computer science and business administration.
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