AI Today Podcast

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 Methodology
• CPMAI MethodologyIntro to CPMAI webinar
• AI Today Podcast: AI Failure Series – Data Quantity & Data Understanding Issues
• AI Today Podcast: AI Failure Series – ROI Misalignment

Continue reading AI Today Podcast: AI Failure Series- Data Quality Issues at Cognilytica.

Organizations are finding that data is only part of their AI strategy. In order to fully utilize their data, they need to be able to make sense of that data and effectively communicate the story their data is telling. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer interview Mara Pometti, Global AI Strategist at IBM.

Continue reading AI Today Podcast: From Data Reporter to AI Strategist, Interview with Mara Pometti, Global AI Strategist at IBM at Cognilytica.

AI and ML projects revolve around data so it’s important to understand how much data you really need. Understanding how to plan, manage, and operationalize AI & ML Projects is crucial for project success. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer continue the discussion around common reasons why AI projects fail.

Continue reading AI Today Podcast: AI Failure Series – Data Quantity & Data Understanding Issues at Cognilytica.