AI Today Podcast

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 Yeshayahu who is the Senior Vice President of Products at Veritone.Continue reading AI Today Podcast: The transformation of ML Ops, Interview with Kfir Yeshayahu, Veritone at Cognilytica.

As AI continues to move into the mainstream and more companies are looking to bring AI and ML into their organizations, the tools have also evolved to keep up with the changing demand. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schemlzer interview Sivan Metzger, Managing Director of MLOps and Governance at DataRobot.Continue reading AI Today Podcast: The Expanding MLOps Platform, Interview with Sivan Metzger, Managing Director of MLOps and Governance at DataRobot at Cognilytica.

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. In this podcast Cognilytica analysts Kathleen Walch and Ronald Schmelzer interview Nir Bar-lev, CEO of ClearML to discuss the overlap between DevOps and MLOps, where ML Ops is fitting into the overall ML ecosystem, and how he thinks it will continue to evolve over the next few years.Continue reading AI Today Podcast: Discussion of MLOps, Interview with Nir Bar-lev, CEO of ClearML at Cognilytica.

As companies move from AI and ML projects as just a concept to actual production they need to find value in these projects. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Ahmer Inam and Mark Persaud at Pactera Edge. They discuss some of the challenges they have seen companies face with their data science projects and why they fail to deliver for their executive sponsors and how companies can overcome this.Continue reading AI Today Podcast: Human-Centric Design driven ML Ops, Interview with Ahmer Inam and Mark Persaud at Pactera Edge at Cognilytica.

As companies continue to advance in their adoption of AI and ML, they need a trusted approach to machine learning operations (MLOps). In this podcast hosts Kathleen Walch and Ron Schmelzer interview Harish Doddi who is CEO of Datatron. He shares with us some of the challenges companies face as they use ML models in production.Continue reading AI Today Podcast: A Trusted Approach to ML Ops, Interview with Harish Doddi, CEO Datatron at Cognilytica.

In the face of the many of the challenges that 2020 represented, AI has continued at its unrelenting pace of adoption, investment and growth in both the private and public sectors. In this podcast hosts Kathleen Walch and Ron Schmelzer share their AI market predictions and forecasts for where AI will make waves in 2021 including the continued worldwide adoption of AI and ML, hot markets including the ML Platforms space, ML Ops players, and data labeling.Continue reading AI Today Podcast: 2021 AI Market Predictions at Cognilytica.

On the AI Today podcast we often discuss how AI is being applied at the federal level. However many states are also applying automation and AI technologies as well. In the episode of the AI Today podcast we interview Dorman Bazzell, Chief Data Officer for the state of North Dakota. He shares with us some of the unique challenges around data, data science and data privacy at the state level.Continue reading AI Today Podcast: Data and AI in the state of North Dakota, Interview with Dorman Bazzell, CDO of North Dakota at Cognilytica.

In this episode of the AI Today podcast we wanted to highlight our upcoming Machine Learning Lifecycle 2021 Conference taking place Jan 26-28, 2021. The 5 main areas of focus for sessions and content during the conference include: ML Model Development, ML Model Management, ML Operations (MLOps), ML Model Governance, and General Sessions Related to the ML Lifecycle.Continue reading AI Today Podcast: Machine Learning Lifecycle 2021 Conference Preview at Cognilytica.

With 2020 quickly (thankfully) fading into the rear view mirror it’s time to reflect on the year that was including looking at our predictions for 2020 and see how accurate they were, some of the big AI news, use cases and activity. In this podcast hosts Kathleen Walch and Ron Schmelzer discuss some of the big newsmakers and insights from this year in the world of AI as well as some of the highlight episodes from 2020.Continue reading AI Today Podcast: A Look Back at AI in 2020 at Cognilytica.

Machine learning systems are core to enabling each of the seven patterns of AI. Machine learning platforms facilitate and accelerate the development of machine learning models by providing functionality that combines many necessary activities for model development and deployment. In this podcast, hosts Kathleen Walch and Ron Schmelzer share high level details for the recent ML Platforms Report 2020 report.Continue reading AI Today Podcast: Machine Learning (ML) Platforms 2020 – A Market Update at Cognilytica.