Live from TWIMLcon! You're not Facebook. Architecting MLOps for B2B Use Cases with Jacopo Tagliabue - #596

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Por TWIML and Sam Charrington descoberto pelo Player FM e nossa comunidade - Os direitos autorais são de propriedade do editor, não do Player FM, e o áudio é transmitido diretamente de seus servidores. Toque no botão Assinar para acompanhar as atualizações no Player FM, ou copie a feed URL em outros aplicativos de podcast.

Much of the way we talk and think about MLOps comes from the perspective of large consumer internet companies like Facebook or Google. If you work at a FAANG company, these approaches might work well for you. But what about if you work at one of the many small, B2B companies that stand to benefit through the use of machine learning? How should you be thinking about MLOps and the ML lifecycle in that case? In this live podcast interview from TWIMLcon: AI Platforms 2022, Sam Charrington explores these questions with Jacopo Tagliabue, whose perspectives and contributions on scaling down MLOps have served to make the field more accessible and relevant to a wider array of practitioners.

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