AI

AI

What I Learned Building an AI Platform in a Day

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For background, Solo Agora is an AI-based platform I recently launched. It’s designed to promote critical thinking and civil discourse, what I call “reasoning fitness,” by turning AI on the problems it’s creating. Solo Agora is a suite of chatbot agents, all wrapped in a branded experience complete with access management and payment features. It’s free to try at soloagora.com, and I’ve written more about the origins at soloagora.substack.com. This article is about what I as an analytics and CX practitioner learned while developing this product.

AI

How AI Helps You Pressure-Test Your Customer Strategy

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In the previous parts of this series, I’ve covered how AI accelerates data gathering, analysis and segmentation. All that value is academic until it’s converted into strategic decisions that get implemented. In this edition, I’ll show how generative AI helps you stress-test customer strategy decisions before you commit resources.

AI

The Machines Have Gone Multi-Agent. Why Haven’t You?

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The latest AI systems automatically coordinate multiple specialized models to tackle complex problems, combining best-of-breed language models with specialized tools for search, analysis, coding, and reasoning. The industry has realized that no single AI excels at everything. The same concept applies to the gen AI tools themselves. Here are three reasons for making a practice of using more than one generative AI tool.

AI, Data Analytics

Why Your 2023 AI-Based Analytics Are Already Obsolete

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For the past few decades, SAS, Python and R have dominated exploratory analytics and modeling, supplemented by a progression of interactive tools, starting with OLAP in the 1990’s and progressing to visual tools like Tableau in recent years. The most productive versions of these solutions still required weeks of researching data sources, downloading them (often for a fee), multiple trial-and-error cycles on quality, and wrestling with mismatched keys across datasets. Once the data was ready, producing analysis required laborious hand-coding to produce and present insights.

AI, Customer Concepts

AI as Customer Analytics Wingman, Not Delegate

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Since ChatGPT launched just 30 months ago, leaders have been asking if it’s fundamentally changing how customer analytics works. The short answer is: yes. While analytics has used AI for decades in the form of regression models and predictive algorithms, what I’ve found through recent client work is striking: when wielded by skilled practitioners, generative language models don’t replace human insight – they amplify it. These tools apply in numerous and rapidly growing ways that aren’t immediately obvious to everyone. The key difference? Gen AI dramatically shortens the path from question to insight, allowing us to focus more on the “so what” than the “how to.”

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.

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