Companies of all sizes in just about every single industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects and there is a significant and growing demand for skilled AI project managers across the whole range of AI capabilities.

Continue reading AI Today Podcast: Adopting AI Best Practices – Interview with Krystene Jennings, Centene at Cognilytica.

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 individuals are applying the CPMAI Methodology can be incredibly valuable. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Karen McCann who is a Product Manager at Toshiba Global Commerce Solutions and is also CPMAI certified.

Continue reading AI Today Podcast: Applying CPMAI in the Real World – Interview with Karen McCann, Toshiba Global Commerce Solutions at Cognilytica.

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 object’s resemblance to a human being and the emotional response to the object.

Continue reading AI Today Podcast: AI Failures Series: Falling into the Uncanny Valley at Cognilytica.

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 this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Charles Mendoza, who is Sr.

Continue reading AI Today Podcast: Lessons learned from AI Project Management – Interview with Charles Mendoza, Maximus at Cognilytica.

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 Walch and Ron Schmelzer revisit the Agile Manifesto and Agile Methodologies and share why AI and data-centric methodologies, and specifically CPMAI Methodology, are needed for running AI projects successfully.

Continue reading AI Today Podcast: Why can’t we use Agile for AI? at Cognilytica.

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 AI have to do with the Cloud?

Continue reading AI Today Podcast: AI in the Cloud at Cognilytica.

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 vendor solution solves your problem, regardless of what they may tell you.

Continue reading AI Today Podcast: Revisiting AI Failures – Vendor Driven Causes of Failure at Cognilytica.

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 Manager is becoming the new sexy job title of the next decade, why certifications for PMs matter, and how certifications like CPMAI are quickly gaining traction in the PM community.

Continue reading Is Data Scientist still the sexiest job of the 21st Century? at Cognilytica.

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 something similar when it comes to advanced analytics, big data, and AI projects? Without using best-practices approaches that standardize steps for data preparation, data identification, and data protection, it’s hard to achieve the success you’re expecting, wasting money and resources, leading to failure.

Continue reading AI Today Podcast: An Intro to CPMAI Methodology at Cognilytica.

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 “AI Winters”. Is the next AI Winter approaching? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the 3 main reasons for a winter: decline in investment, interest, and research.

Continue reading AI Today Podcast: Is the next AI Winter approaching? at Cognilytica.