If you’re ever done a web search you know that getting relevant and appropriate answers on the web can take a lot of effort. Oftentimes, it also requires multiple attempts to get relevant results. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the changing landscape of AI and search.

How AI is changing search

Already, AI is proving to be a massive enhancement and augmentation to the everyday work and tasks of businesses, enterprises, and organizations of all types.

Continue reading What’s happening with AI and Search? [AI Today Podcast] at Cognilytica.

Data is integral at any organization. However, data on it’s own doesn’t provide much value. If we want to get more from our data and AI systems, and if we truly want to get machines to become more intelligent, we need to bridge that gap with at least some understanding of those patterns. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interivew Rich Maltzman.

Continue reading Understanding and Power Skills – Keys to AI Success: Interview with Rich Maltzman, Boston University at Cognilytica.

CIOs everywhere are gearing up for increased investments in AI, while facing challenges and overcoming barriers that come with implementing and scaling AI. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interview Linda Yao. Linda is COO and Head of AI Solutions and Services at Lenovo.

AI’s Impact on CIOs

Recently, Lenovo conducted a global survey of CIOs.

Continue reading How AI is Transforming Manufacturing and Other Industries: Interview with Linda Yao, Lenovo [AI Today Podcast] at Cognilytica.

Here’s a hint as to what is separating the AI failures from successes: skip the proof of concept. When it comes to AI projects go right for pilot projects. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss AI Pilots vs. Proof of Concepts.

AI Pilots vs. Proof of Concepts

A proof-of-concept is a project that is a trial or test run to illustrate if something is even possible and to prove your technology works.

Continue reading Skip the AI Proof of Concept [AI Today Podcast] at Cognilytica.

AI and generative AI is proving transformational in every industry. This includes long established industries like insurance. In particular, the growth of generative AI in the insurance and insurtech space in showing tremendous potential. In this episode of AI Today we interview Connor Atchison (CEO) & Itay Mishan (CTO) at Wisedocs.

How is AI used in the insurance industry?

Continue reading How AI is Transforming Insurance: Interview with Connor Atchison & Itay Mishan, Wisedocs [AI Today Podcast] at Cognilytica.

Artificial intelligence has been on the horizon for over seventy years. In fact, the term AI was officially coined in 1956. So, why does it seem so close but also so unattainable? In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the question: Are we still repeating the same mistakes with AI?

Continue reading Are We Still Repeating the Same Mistakes with AI? [AI Today Podcast] at Cognilytica.

AI projects aren’t dying because of big problems. Rather it’s the small things that are causing projects to fail. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss what iteration really means for AI projects.

Continuous Model Iteration

We always say that AI projects are never set it and forget it.

Continue reading What Iteration Really Means with AI [AI Today Podcast] at Cognilytica.

Move Fast and Break Things worked for high flying Silicon Valley startup megatech companies but it doesn’t work for AI projects. Between 70%-80% of AI projects are failing to meet their objectives. With stats like this, it’s clear that breaking things isn’t leading to success in AI. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer dig into this topic.

Continue reading Why “Move Fast and Break Things” Doesn’t Work for AI [AI Today Podcast] at Cognilytica.

One of the most vexing problems in even today’s highly capable intelligence systems is for systems to actually understand what they are generating as output. Repeating a pattern, even a sophisticated pattern, while showing good knowledge of the pattern, doesn’t really help if the system doesn’t really understand what it is generating.  In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss this DIKUW pyramid and why the “U” understanding level is a critical, but often left out, layer of the pyramid.

Continue reading The Necessary (and often Missing) “U” in the DIKUW Pyramid [AI Today Podcast] at Cognilytica.

Soft skills are increasingly becoming important for AI, and in particular Generative AI. Collaboration can accelerate learning, creativity, and innovation. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the critical skill of collaboration.

Why Collaboration skills are needed for AI

In this episode we discuss why collaboration skills are important to improve your interaction with AI systems.

Continue reading Soft Skills for AI: Why Collaboration is Key for AI Success [AI Today Podcast] at Cognilytica.