AI Today Podcast

Earlier in 2021, The National Security Commission on AI (NSCAI) published their final report that presents the NSCAI’s strategy for winning the artificial intelligence era and provides a strategy to get the United States AI-ready by 2025. On this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer had the opportunity to interview Gilman Louie who is one of 15 commissioners for the National Security Commission on AI (NSCAI) and co-founder and partner of Alsop Louie Partners, an early-stage technology venture capital firm.Continue reading AI Today Podcast: Interview with Gilman Louie, Commissioner for the National Security Commission on AI (NSCAI) at Cognilytica.

For anyone following AI, it should come as no surprise that countries around the world are taking a vested interest in AI. In 2021 the NSCAI published their final report explaining the steps the United States must take to responsibly use AI for national security and defense, defend against AI threats, and promote AI innovation.Continue reading AI Today Podcast: Interview with Mignon Clyburn, Commissioner for the National Security Commission on AI (NSCAI) at Cognilytica.

It’s important for organizations to understand all that’s involved that goes into the model. A common reason that AI projects fail is that the team does not understand the model and data lifecycle. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dig deeper into this subject and share tips for organizations to overcome this common issue.Continue reading AI Today Podcast: AI Failure Series – Not Understanding the Model & Data Lifecycle at Cognilytica.

AI is not the solution to all problems. And, not every vendor solution solves your problem, regardless of what they may tell you. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer continue the discussion around common reasons why AI projects fail. In this episode they dig into issues that can happen when companies don’t ask the right questions and get caught up believing vendor and industry hype.Continue reading AI Today Podcast: AI Failure Series – Believing Vendor & Industry Hype at Cognilytica.

Far too often, organizations move forward with AI projects without having a clear understanding of how their AI and ML models are going to be used in the real world. This lack of real world understanding is a major reasons why AI projects fail. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dig deeper into this topic, and share ways companies can overcome this issue.Continue reading AI Today Podcast: AI Failure Series – The Real World Mismatch at Cognilytica.

Countries across the world are understanding that they can take advantage of the tremendous transformation presented by AI and cognitive technologies and position themselves for global competitiveness in the future. As a result, countries are coming up with their own unique AI strategies. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Albert King, Chief Data Officer of the Scottish Government to discuss the Scottish AI strategy that was published in March 2021.Continue reading AI Today Podcast: Interview with Albert King, Chief Data Officer of the Scottish Government at Cognilytica.

On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Felipe Flores, host of Data Futurology Podcast. On his podcast he talks about Data Science through a human lens and discusses the human side of data with leaders from across the globe.Continue reading AI Today Podcast: Data Science through a Human Lens – Interview with Felipe Flores, host of Data Futurology Podcast at Cognilytica.

In order for projects to be successful, the time between concept to execution needs to be reasonably set. Far too often, we see the iteration time of AI projects to be months, if not years, from the initial pilot. Additionally, we see organizations run a proof of concept in a controlled lab setting (why?) rather than a pilot using real world systems.Continue reading AI Today Podcast: AI Failure Series – Iteration Time & Proof of Concept vs. Pilots at Cognilytica.

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. Data is at the heart of AI. It should be no surprise then that proper data management is crucial for AI projects. This podcast is an excerpt from our Cognilytica Education course “Managing Data for AI”. In this clip we discuss the history of how we stored data in the past and moving from transactional systems to analytics systems.Continue reading AI Today Podcast: AI Education Series: Managing Data for AI at Cognilytica.

The saying garbage in is garbage out couldn’t be more true when it comes to data being fed into AI and ML models. In this podcast, hosts Kathleen Walch and Ron Schmelzer discuss the importance of data quality and why bad data is a main reason for AI project failure.Show Notes:CPMAI MethodologyCPMAI MethodologyIntro to CPMAI webinarAI Today Podcast: AI Failure Series – Data Quantity & Data Understanding IssuesAI Today Podcast: AI Failure Series – ROI MisalignmentContinue reading AI Today Podcast: AI Failure Series- Data Quality Issues at Cognilytica.