Join in as we discuss with Molly Jaggers the implications we face as we adopt cutting edge AI technology.

A key takeaway from this episode is what the adoption implies about the most constructive behavior for members of the workforce in these turbulent days.

Ultimately, it's a time of great opportunity and hope - though as in any epoch - those that are lazy or slow to change will quickly be left behind.

The biggest difference now is found in the definition of "quickly" - which will be much more severe than in prior days.

>> Books Mentioned in the Episode <<

• A More Beautiful Question - by Berger
• The Seven Habits of Highly Effective People - by Covey
• Good to Great - by Collins

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Here at The Kyle Rowland Podcast we like to focus on the "Plateau of Productivity" (see Gartner's Hype Cycle) - as such, we bring you our latest episode on actually useful, highly practical artificial intelligence.

If you've ever asked yourself the question - "On what and how might I actually use this AI tech in real life?" This is the episode for you.

We start with basic definitions and move on to some real world examples, along with some principles that you can apply in your context.

So join me and my guest Jeff Mergler as we unpack this useful technology.

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Jeff Mergler is a data scientist and educator at Altair, now part of Siemens. He first began developing data analytics solutions in 2000, and began teaching in 2004. With master's degrees in Information Systems from Webster University and Statistics from Colorado State University, he has enjoyed developing and delivering solutions and courses across mathematics, software development, engineering, and the data sciences. Jeff has a passion for facilitating innovation, by empowering and enabling people.

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Book mentioned in the episode:

Powerful, Profitable Software Products - by Kyle Rowland - https://a.co/d/2klqbDD

In the late 2000's the phrase "breaking down the monolith" was being uttered in every corner of the tech universe. The passion was connected to technical features like scalability and performance - even spawning a number of techniques and technologies for operating these isolated runtime components.

The real win seemed to have been largely missed - the ability for teams to be separate and thus faster in their delivery.

Organizations were ridding themselves of the need to coordinate all change and delivery across all teams. They were beginning to realize their potential.

That beautiful awakening has stalled out somewhat - join Bob Provencher and I as we discuss the benefits and some of the tricks to bringing it freshly into your organization.

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Bob Provencher is the Chief Technology Officer at PDHI, a Health and Wellness Platform-as-a-Service provider. With a career spanning software craftsmanship, cloud architecture, and AI innovation, Bob leads initiatives that bridge traditional .NET and Azure development with cutting-edge artificial intelligence.

He has a deep background in game development and low-level device driver engineering, giving him a rare blend of creative and systems-level insight. Bob is passionate about building scalable, intelligent solutions and exploring how emerging technologies can enhance real-world health and wellness platforms.

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Books mentioned in the podcast:

Monolith to Microservices: https://a.co/d/0gJxvsm

The Mikado Method: https://a.co/d/3424eBK