Cognilytica's AI Today podcast focuses on relevant information about what's going on today in the world of artificial intelligence. Hosts Kathleen Walch and Ron Schmelzer discuss pressing topics around artificial intelligence with easy to digest content, interview guests and experts on the subject, and cut through the hype and noise to identify what is really happening with adoption and implementation of AI.
Leading Data Scientists The Right Way, Interview with Ylan Kazi, UnitedHealth
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.
Machine Learning Lifecycle 2021 eventMachine Learning Lifecycle CommunityData for AI Community
Challenges in Federal AI Adoption, Interview with Justin Marsico, Chief Data Officer at the Bureau Of The Fiscal Service
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.
Justin was also on a panel during our Machine Learning Lifecycle event January 26-28, 2021. Make sure to check out the replay of the Enhancing AI Skills In The Government Workforce Panel he participated on.
Machine Learning Lifecycle event January 26-28, 2021USAspending.gov
Insights into No-Code ML: Interview with Matt Chambers & Juan Buhler, Boon AI
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. They also share some of the common barriers companies face in regards to ML adoption as well as insights into extracting valuable features from data that can train AI and ML systems.
Boon AI also presented during our Machine Learning Lifecycle 2021 event. Make sure to check out the replay of their many sessions (search under Zorroa).
Machine Learning Lifecycle 2021 event Boon AI website
Data and AI at the State level, interview with Joy Bonaguro, CDO State of California
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. She shares with us some of the unique challenges around data, and why data is core to AI. She also shares what states can do to attract the skilled workforce needed to keep up with technological innovations.
Joy was also on a panel during our Machine Learning Lifecycle event January 26-28, 2021. Make sure to check out the replay of the AI at the State and Local Level Panel she participated on.
December AI in Gov eventMachine Learning Lifecycle event January 26-28, 2021Human Compatible: Artificial Intelligence and the Problem of Control (book, Amazon link)
Insights into the future of ML Development: Interview with Gideon Mendels, CEO of Comet
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.
Comet also presented during our Machine Learning Lifecycle 2021 event. Make sure to check out the replay of their sessions.
Machine Learning Lifecycle 2021 event Comet website
Advancing AI in Finance, Interview with Agus Sudjianto, Wells Fargo
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. He discusses why we need interpretable and not explainable machine learning, some of the challenges in data governance, security, ownership, and other issues that slow down adoption of AI, as well as some of the unique opportunities for the finance and banking industries to apply AI.
Machine Learning Lifecycle 2021 eventINFOGRAPHIC: 8 ways in which AI is improving your banking experienceAI Today Podcast: How AI Is Being Applied In Banking