AI Today Podcast

AI Ethics is a critical topic that organizations adopting or building AI systems need to consider. In recent research, Cognilytica analyzed over 60 ethical AI frameworks produced by governmental organizations, corporations, multinational groups, non-profits, and other groups. We learned a lot about the state of those AI Ethics frameworks, and this podcast will share some of those insights that will help you as a builder, user, or participant in the AI ecosystem.

Continue reading AI Today podcast: The State of Ethical AI Frameworks 2021 at Cognilytica.

To the surprise of some, the National Science Foundation (NSF) is a very large funder of many AI projects every year. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Erwin Gianchandani, Deputy Assistant Director, Computer and Information Science and Engineering at National Science Foundation. He discusses some of the projects that the NSF has funded.

Continue reading AI Today Podcast: Moving AI Innovation Forward, Interview with Erwin Gianchandani, Deputy Assistant Director, National Science Foundation (NSF) at Cognilytica.

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 Learning at UnitedHealth Group. He shares with us his thoughts on why it’s important to leading data scientists the right way, what are some of the key traits you look for when hiring data scientists, as well as some of the barriers to ML adoption he has seen.

Continue reading AI Today Podcast: Leading Data Scientists The Right Way, Interview with Ylan Kazi, UnitedHealth Group at Cognilytica.

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 Department of the Treasury. Justin oversees the Fiscal Service’s provision of data to the public, including on USAspending.gov and shared with us some of the unique opportunities around data at the federal level, challenges in data governance, security, ownership, as well as what areas of seeing AI he sees effectively being used in the federal government.

Continue reading AI Today Podcast: Challenges in Federal AI Adoption, Interview with Justin Marsico, Chief Data Officer at the Bureau Of The Fiscal Service at Cognilytica.

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 unstructured data, especially video data, as it relates to AI.

Continue reading AI Today Podcast: Insights into No-Code ML: Interview with Matt Chambers & Juan Buhler, Boon AI at Cognilytica.

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 Data Officer for the state of California.

Continue reading AI Today Podcast: Data and AI at the State level, interview with Joy Bonaguro, CDO of California at Cognilytica.

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 today with trying to bring ML models into production, why it’s important to have a tool for data scientists and teams to track, compare, explain and optimize experiments and models, and where ML Ops fits into the overall ML ecosystem.

Continue reading AI Today Podcast: Insights into the future of ML Development: Interview with Gideon Mendels, CEO of Comet at Cognilytica.

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 hosts Kathleen Walch and Ron Schmelzer interview Agus Sudjianto, Executive Vice President, Head of Corporate Model Risk at Wells Fargo.

Continue reading AI Today Podcast: Advancing AI in Finance, Interview with Agus Sudjianto, Wells Fargo at Cognilytica.

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 results, safety assurances, and algorithmic oversight. In this episode of the AI Today podcast we interview Dr.

Continue reading AI Today Podcast: Interview with Dr. Tim Persons, Chief Scientist And Managing Director at U.S. Government Accountability Office (GAO) at Cognilytica.

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.