AI Today Podcast

As organizations continue to hire more data scientists it’s important to make sure they are being utilized to emphasize their skill sets. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Ylan Kazi, Vice President, Data Science and Machine L...

The Federal Government continues to modernize their management of data, including data governance and analytics. In the episode of the AI Today podcast we interview Justin Marsico who is the Chief Data Officer at the Bureau of the Fiscal Service, a part of the United States Depar...

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Matt Chambers, Principal Architect & Juan Buhler, Sr. Data Science Engineer at Boon AI. They share with us some challenges they see organizations face today with trying to make sense of their...

On the AI Today podcast we often discuss how AI is being applied at the federal level. However many states are also facing many of the same data challenges, hiring needs, and adopting AI technologies as well. In the episode of the AI Today podcast we interview Joy Bonaguro, Chief...

As companies begin to move machine learning models into production there are a variety of factors that need to be addressed. In this podcast Cognilytica analysts Kathleen Walch and Ronald Schmelzer interview Gideon Mendels, CEO of Comet. He discusses challenges organizations face...

The finance and banking industries have long been ahead of other industries with their adoption of AI. From fraud detection, to roboadvising, to NLP applications the finance industry is adopting every pattern of the Seven Patterns of AI. In this episode of the AI Today podcast ho...

AI is transforming the federal workplace, allowing employees to work more productively and efficiently. However with this technology comes the need for oversight considerations for policymakers and federal managers related to such issues as the right to privacy, accuracy of resul...

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 t...

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 ...

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 ...

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 t...

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 com...