AI Today Podcast

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 chan...

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 p...

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 Solution...

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. Pr...

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 ...

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 stil...

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 ...

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 ...

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...

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 Collabor...

AI is being adopted by many organizations and they are seeing dramatic improvement, increased productivity, and cost savings. However, government at all levels, including local governments, are also seeing dramatic improvements when adopting AI. On this episode of AI Today we int...

Effective communication is vital for enhancing both human-to-machine and human-to-human interactions with AI. Clear communication ensures more accurate and optimal outputs from AI systems. Additionally, AI tools can improve our communication skills by helping us better articulate...