AI Today Podcast

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer revisit the discussion around common reasons why AI projects fail. Sometimes AI systems can be too creepy and go into the uncanny valley. The uncanny valley is a relationship between the degree of an o...

It’s one thing for us to talk about the Cognitive Project Management for AI (CPMAI) Methodology and the benefits it can bring to managers running AI and advanced data projects, but hearing directly how companies are applying the CPMAI Methodology can be incredibly valuable. In th...

If you have ever tried to apply Agile methodologies to your AI projects you’ve probably noticed that Agile is challenged by the requirements of AI systems. We need to evolve Agile Methodologies from a Data-First Perspective. In this episode of the AI Today podcast hosts Kathleen ...

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss what AI in the cloud really means. They break down what is the cloud with a technical definition and then an economic definition to level set the topic and then dig into the question: What does...

Our AI Failures Series podcast was so popular we wanted to revisit some of the main reasons why we see AI projects fail. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer revisit the discussion around common reasons why AI projects fail. Not every ven...

Back in 2012 an article was published in HBR stating that Data Scientist was the sexiest job of the 21st Century. However, about a decade later, does this still hold true? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss how Data Project Mana...

Far too often, agencies, organizations, and consulting firms are running data and AI projects without taking the right steps to ensure their success. Agile and iterative approaches have become adopted best practices for application development projects, but why don’t we have some...

Like all technologies, Artificial Intelligence (AI) is not immune to the waves of obscurity, hyped promotion, plateauing of interest, and decline. In fact, the AI industry has been through two such major waves of interest, hype, plateau, and decline, commonly referred to as the “...

Level 3 Intelligent Automation allows you to address the greatest challenges of unpredictability and variability and be able to achieve autonomous process discovery, autonomous process analytics, and autonomous process optimization. But is Level 3 Intelligent Automation right for...

Level 2 Intelligent Automation allows you to address greater challenges of unpredictability and variability. But how do you know if Level 2 Intelligent Automation is even right for your team? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss w...

Adding intelligence to automation enables greater degrees of variability and unpredictability. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss what it means to have Level 1 automation to handle variability and unpredictability, how to incorp...

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dive deep into Level 0 Automation, why so-called “dumb” automation provides tremendous value to your team when implemented correctly. This episode shares examples for immediate ROI with Level 0 automat...