Solving for the AI-End-in-Mind with Data Products 

Every ambitious analytics initiative – whether it’s demand forecasting, inventory optimization, supply chain risk prediction, or even next-best customer recommendations – should begin with the end in mind. In practice, this means starting with the AI-driven outcome your business wants (forecast accuracy, reduced stockouts, optimized supply planning, etc.) and working backward to ensure the data […]

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How Azure AI Agent Framework Accelerates the Momentum of Digital Workers 

What if 50% of the work in your organization could be performed by AI agents? This provocative idea captures the promise of Digital Workers (AI-driven software assistants) in the modern enterprise 1. It’s not about replacing people, but augmenting the workforce – offloading routine tasks to AI so human talent focuses on higher-value activities 2. […]

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The Human Future of AI

The Human Future with AI is one of the most important transitions since the industrial revolution. Why do we need to care? 1. The industrial revolution produced good and negative outcomes for humanity in the world. This was all based on generating increased production as an end. 2. Good outcomes included the exponential ability to […]

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AI Education is Not About Data Science

So frequently when I hear business leaders talk about AI education they are focused on certifications around specific technologies, especially how they can create a team of Data Scientists. While, I agree that having Data Scientists is a need for many organizational groups, especially product development or those using Data-as-a-Product, I believe that this takes […]

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AI Maturity Assessment

Microsoft has launched an interesting (although not comprehensive) AI maturity assessment. It certainly has a good collection of things I’d think about when considering how to leverage AI in your organization. I’m impressed it asks questions about ethics and boldness in going down a path of using AI technologies in product development or business operations. […]

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