AI Today Podcast: The State of AI (and AI Today) heading into 2022

On today’s AI Today podcast hosts Kathleen Walch and Ron Schmelzer are going to do their annual AI Market Forecast & Trends. They will spend some time reflecting on what they are seeing in the market and where they forecast the AI markets will go in 2022. They will talk about the Data Labeling, Data Engineering …

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AI Today Podcast: The transformation of ML Ops, Interview with Kfir Yeshayahu, Veritone

Successful MLOps not only requires strong collaboration between the AI data team, AI model team, and DevOps it’s the ability to effectively manage and mitigate risk across the deployment, integration, scale, monitoring, and compliance stages of an AI project. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Kfir …

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AI Today Podcast #136: ML Model Management and Operations (“ML Ops”)

Machine Learning Model Operationalization Management, referred to as “MLOps”, is focused on the lifecycle of model development and usage, machine learning model operationalization, and deployment. Cognilytica recently published a report on this topic that examines the ML Operationalization Management market, provides visibility into emerging best practices in the MLOps space, identifies open source and commercial …

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Podcast #133_ Challenges of Managing ML Models_ Interview with Luke Marsden, CEO & Founder, Dotscience

AI Today Podcast #133: Challenges of Managing ML Models: Interview with Luke Marsden, Dotscience

As companies move from building models to buying models the focus shifts from tooling and platforms focused solely on model development to tools and platforms focused on the overall usage, consumption, and management of models. Machine Learning Model Operationalization Management, referred to as “MLOps”, is focused on the lifecycle of model development and usage, machine …

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