All in GenAI

A great example of "can"

A great example of "can"

Mark Strayer
GenAI, emerging tech

For those who don’t know me well, I’m an avid photographer with a deep passion for all things camera tech, particularly Fuji. This enthusiasm has led me to follow numerous podcasts and creators, with Chase Jarvis being a standout. Chase has always been at the cutting edge where technology meets creativity, exemplified by his app, book, and community “The best camera is the one that’s with you,” which actually beat Instagram to market by a year. His podcast, ChaseJarvis Live, is a favorite of mine, especially a recent episode featuring Sal Khan of Khan Academy. In this episode, Sal discusses how Khan Academy is pioneering the use of AI to personalize learning and help students improve their writing skills, showcasing an inspiring “can” approach to innovation that contrasts sharply with the more restrictive “must” mindset often seen in education.

A single word can make all the difference

A single word can make all the difference

Mark Strayer
GenAI, emerging tech, retail

I am exploring creative AI applications in business beyond automating tasks. Instead of just saving costs, think about using AI for personalized and scalable solutions. Examples include generating custom product descriptions and translating training manuals into local dialects and formats for different learning styles. The key is shifting from “must” (mandatory) to “can” (innovative possibilities) thinking. Embracing this mindset will set businesses apart, making them more innovative and competitive in their industries.

The process: The fuzzy edges of Generative AI

The process: The fuzzy edges of Generative AI

Mark Strayer
retail, emerging tech, GenAI

In my latest article, I explore the transformative impact and challenges of Generative AI (GenAI) in business processes. I contrast traditional data querying methods, where results are consistent and predictable, with the dynamic and somewhat unpredictable nature of GenAI, which allows users to interact with data using natural language. This shift introduces a ‘fuzzy’ element to project management, requiring new approaches and expectations. I emphasize the need to adapt our mental models to harness GenAI effectively, despite its inherent uncertainties.