Organizations are increasingly making use of AI systems to power their operations and enable a wide range of applications from the trivial to the mission-critical. As a result it’s more important than ever to understand the many complex issues related to AI and Data fairness and bias. In this Ethical and Responsible AI Series hosts Kathleen Walch and Ron Schemlzer dig deeper into the role data plays in AI, and how building AI systems with fairness in mind is critical. Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI & Data Fairness & Bias at Cognilytica.

Organizations are increasingly making use of AI systems to power their operations and enable a wide range of applications from the trivial to the mission-critical. Many of the concepts of AI ethics generally revolve around the set of what is “right” vs “wrong” with regards to intelligent systems. However, the sort of ethical concepts that are discussed in AI ethics frameworks tend to cluster around five different areas including: Societal Ethical AI, Responsible AI, Trustworthy AI, AI Governance, and Interpretable and Explainable AI. Continue reading AI Today Podcast: Ethical & Responsible AI Series: The Layers of Ethical AI & A Framework for Ethical & Responsible AI at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. As more organizations adopt AI technologies the need to do AI ethically and responsibly is becoming incredibly important. Continue reading AI Today Podcast: Ethical & Responsible AI Series: Why is Ethical & Responsible AI Necessary? at Cognilytica.

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.