AI Today Podcast

As people, companies, and governments are being asked to do more with less people, automation is playing an increasingly role is handling tasks and helping keep things on schedule. In this episode of the AI Today podcast we interview Chris Townsend who is Area Vice President, Fed...

LinkedIn has been at the cutting edge of AI for many years and uses AI in many ways users may not be aware. In this episode of the AI Today podcast we interview Igor Perisic, Chief Data Officer (CDO) and VP of Engineering at LinkedIn. He shares with us how LinkedIn is applying AI...

It’s no surprise that AI will have an impact on the workforce from chatbots, recognition systems, or predictive analytics tools. But what happens when workplaces require employees to use tools that collect data on them such as facial recognition technology? In this podcast we int...

Humans have long dreamed of machines that could function and perform just like other humans. However, giving machines emotional IQ has been an incredibly hard problem to solve. Aniket Bera and his team of researchers had the idea to create AI systems that can detect emotion based...

The US Federal Government has made AI a priority. In this podcast we interview Suzette Kent who is the US Federal Chief Information Officer (CIO) to discuss how the US government will adopt AI across agencies, how they will address the need to reskill and upskill the workforce, a...

A few years ago the US Air Force created AFWERX to find new efficiencies in policy and processes and improve Air Force culture. To date there have been some interesting outcomes and technologies that have come through the AFWERX program. In this podcast we interview Mark Roland, ...

The US Department of Health & Human Services (HHS) has been very forward thinking in their adoption of transformative technologies including AI and block chain. In this podcast we interview Oki Mek, Senior Advisor to HHS CIO at HHS. He shares with us various ways HHS is adopting ...

While much of the attention up until now has been focused on the development of machine learning models, as the industry moves from innovators and early adopters to the early majority, new customers will be more concerned about consuming third party models and building on top of ...

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 Operatio...

COVID-19 is quickly changing the way people work, live, and interact with others. Social distancing is now becoming the norm and many workers who once went into an office are now working remotely.  How can AI help us in a time of global crisis? In the special episode hosts Kathle...

A little over a year ago the OECD released their AI principles and most recently, in February 2020 the OECD launched the AI Policy Observatory. In the podcast we interview Karine Perset from OECD. She shares why creating international principles around AI is important, why the OE...

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...