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Tim Santos is the Director of Product for AI Cloud Solutions at Graphcore, He leads the product strategy and vision for enabling developers, plus AI & ML software organisations to build and deploy cutting-edge AI models in production. Tim also leads the AI Hive on Swarm. With over 13 years of experience in data science, AI, and MLOps, Tim has a strong background and passion for delivering impactful and scalable AI products and services that solve real-world problems and create value for customers and stakeholders.
In this episode, we talk about understanding your business problem before building AI solutions, turning to the open source community for help, and building teams in the lens of the data science triangle.
(00:00) Trailer
(00:22) Fractional Intro
(01:38) Tim's Introduction
(02:56) Considerations for using AI as a founder and corporate innovator
(04:41) Starting with the problem
(05:31) Finding pain points
(06:15) Following the hype
(07:06) Foundational models
(7:39) Executive buy-in and experiments
(08:39) Building success stories with small wins
(09:49) Doing research when you're new
(10:27) The open source community
(11:11) Why get help from community
(12:01) Examples and use cases in healthcare
(13:07) Getting strategists and advisers
(13:48) Building teams with the data science triangle
(15:18) Hiring AI consultancy teams
(16:50) Final advice for founders and corporate innovators
Tim Santos is the Director of Product for AI Cloud Solutions at Graphcore, He leads the product strategy and vision for enabling developers, plus AI & ML software organisations to build and deploy cutting-edge AI models in production. Tim also leads the AI Hive on Swarm. With over 13 years of experience in data science, AI, and MLOps, Tim has a strong background and passion for delivering impactful and scalable AI products and services that solve real-world problems and create value for customers and stakeholders.
In this episode, we talk about understanding your business problem before building AI solutions, turning to the open source community for help, and building teams in the lens of the data science triangle.
(00:00) Trailer
(00:22) Fractional Intro
(01:38) Tim's Introduction
(02:56) Considerations for using AI as a founder and corporate innovator
(04:41) Starting with the problem
(05:31) Finding pain points
(06:15) Following the hype
(07:06) Foundational models
(7:39) Executive buy-in and experiments
(08:39) Building success stories with small wins
(09:49) Doing research when you're new
(10:27) The open source community
(11:11) Why get help from community
(12:01) Examples and use cases in healthcare
(13:07) Getting strategists and advisers
(13:48) Building teams with the data science triangle
(15:18) Hiring AI consultancy teams
(16:50) Final advice for founders and corporate innovators