AI Today Podcast

Companies of all sizes in just about every single industry are looking to see how Artificial Intelligence (AI) and machine learning (ML) 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: Best Practices in AI Project Management: Excerpts from our Enterprise Data & AI CPMAI Panel at Cognilytica.

The term Artificial Intelligence (AI) was coined in 1956. Despite the fact that the term is now decades old, there still is no commonly accepted definition. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer share Cognilytica’s definition for AI.

Show Notes:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary

Continue reading AI Today Podcast: AI Glossary Series: Artificial Intelligence 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 Greg Mester who is host of the 5am Mester Scrum podcast. As his podcast talks about Scrum and Agile, he shares with us common misunderstandings about Agile and Scrum, how he sees AI helping Application or Agile Teams, and how the role of project managers is evolving.

Continue reading AI Today Podcast: Bringing AI & Agile Together: Interview with Greg Mester, host of the 5am Mester Scrum podcast 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 Andrew Stone who is Lead Specialist – Product Owner, Data Science at Maximus and he is also CPMAI certified.

Continue reading AI Today Podcast: Applying CPMAI in the Real World, Interview with Andrew Stone, Maximus at Cognilytica.

When putting together your Ethical and Responsible AI Framework it’s important to remember that it needs to be actually implemented. Why spend all this time and resources to put together a framework just to let it sit on a shelf untouched. Remember: Ethical & Responsible AI is something you do, not a statement! In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer talk more about this topic and why it’s so important to actually do AI right which means doing ethical and responsible AI right as well.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Ethical & Responsible AI is something you do, not a statement at Cognilytica.

When working on your ethical and responsible AI framework you should not overlook the roles, boards, and committees that will need to be put in place to ensure that the framework is actually implemented and updated as needed for overall AI project success for the long term. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer provide a high level overview on how to set up your organization for ethical and responsible AI success.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Setting up your organization for ethical & responsible AI success at Cognilytica.

The pace of adoption for artificial intelligence (AI) and cognitive technologies continues unabated with widespread, worldwide, rapid adoption of AI and its various patterns. However with any transformative technology laws and regulations may be slow to catch up with the quickly changing technology. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the global and regional impacts laws and regulations have related to data and AI.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Impact of Emerging Laws and Regulations on AI at Cognilytica.

Not all algorithms are explainable. So does that mean that it’s ok to not provide any explanation on how your AI system got to the decision it did if you’re using one of those “black box” algorithms? The answer should obviously be no. So, what do you do then when creating Ethical and Responsible AI systems to address this issue around explainable and interpretable AI?

Continue reading AI Today Podcast: Ethical & Responsible AI Series: Explainable and Interpretable AI at Cognilytica.

In order to have people use AI systems they need to feel that they can trust these systems. That includes putting measures in place around AI Auditability, Traceability, and System Control. But what exactly does that mean and how do you do this in the context of your Ethical and Responsible AI Framework? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues related to AI Auditability, Traceability, and System Control, why it’s important to be transparent with users, and what steps and controls you should have in place.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI Auditability, Traceability, and System Control at Cognilytica.

When building Ethical and Responsible AI systems it’s important to think about AI System Transparency. These are ethical principles that focus on giving human users as much visibility into overall system behavior, including issues of visibility into data and AI configuration, appropriate disclosure and user consent, means for gaining visibility into bias and potential mitigation of that bias, and use of open systems.

Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI System Transparency at Cognilytica.