Author name: JP Snow

AI

Keeping AI Honest: Four Ways to Spot and Stop Hallucinations

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Gen AI tools can make things up with stunning confidence. In researching a book I’m working on right now, I recently prompted an AI engine to help me find some supporting points. I specifically asked it to use only credible sources and provide citations. I was delighted to receive 5 relevant article titles, cited from publications that included WSJ, New York Times, and Forbes. Unfortunately, none of the stories were real. AI made up the stories, the titles, and even the hyperlinks.

AI, Quantified Self

Lunch on the Go – Now with AI

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I used to track nutrition with MyFitnessPal, but recently switched to a dedicated project in Claude. Typing in foods is faster than searching a database in an app, but even that feels like work. So I snapped this quick picture of my meal to see how well AI tools could itemize what I ate.

Business, Data Analytics

Behind the Metrics: Finding Business Success in the Unmeasurable

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On a recent morning at Denver’s airport, I witnessed the hidden switch that drives customer loyalty. I spotted one of my favorite servers on the train looking worn out and quiet – a stark contrast to her usual upbeat self. I gave her space and headed to my go-to restaurant (one that we locals actually arrive early to visit). As I took my first sips of coffee, I saw that same server now laughing with teammates as they prepped for the day. In minutes, she’d completely transformed. Whether through smart training or personal grit, she’d tapped into that hard-to-measure skill that turns first-time visitors into regulars.

Business, Customer Strategy

Customer Creation Amidst Disruption

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Change means opportunity. In the customer ecosystem, changes create new needs – needs that can be uncovered, and once uncovered are probably not being covered by anyone else… yet. When demand for consumer goods is shrinking, it means consumers are also re-evaluating which goods help them economize. When employers are risk averse about taking on new staff, it means they’ll also seek more fractional and contract roles to get their critical work done.

Customer Concepts, Data Analytics

Institutional Customer Keys: Navigating the Maze of B2B Relationships

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Retail customer relationships can range from simple to complex. By comparison, institutional relationships can seem like a giant maze. Proving my point, new employees and external vendors often find themselves asking lots of questions about organizational structures and how decisions are made. Sometimes they even use language like “navigating the organization” or “mapping the hierarchy.” Large companies can have hundreds or even thousands of employees. Some make the buying decisions, while others influence them. In most cases, there are many others who represent the actual customer need as users of the provider company’s products.

Customer Concepts, Data Analytics

Why Customer Keys are Key to Success

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Customer Catalytics emphasizes the importance of designing robust customer identification systems early in a business’s lifecycle. These identifiers are crucial for gaining customer insights, personalizing experiences, and scaling effectively. Neglecting this can lead to costly issues. The article explores the multi-dimensional benefits and complexities of proper customer ID management.

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