Companies spend far too much time debating which AI tools to buy and what those tools can do. They spend far less time thinking about the people expected to use them.

In this episode, I sit down with Piper Martz, founder of Table Stakes Media, to call BS on some of the loudest claims surrounding AI adoption. We discuss why psychological safety matters, why leaders must be transparent about how AI will affect employees, and what happens when organizations introduce powerful technology without building trust first.

AI change management is not simply a technology challenge. If people feel threatened, excluded, or misled, even the best tools will struggle to deliver results.

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What if you could forecast demand but couldn’t build, order, or control the supply needed to meet it? A matter of fact you don’t even own your supply and have to forecast inventory as well.

I sit down with Airbnb data scientist Harrison Katz, PhD, a designer of Bayesian workflows for structured forecasting, to explore the challenge of forecasting when supply depends entirely on others. We discuss uncertainty on both sides of the equation, where demand and supply planning become blurred, and how constraints, demand shaping, and probability come together. Harrison shares how he approaches these problems, how results should be measured, and even turns the tables to ask me a few tough questions.

IBF On Demand sponsored by Arkieva, your one-plan S&OP software. Learn more about Arkieva's innovative approach to forecasting here https://arkieva.com/

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To sign up for regular updates and the latest research, events, articles, podcasts and more from the Institute of Business Forecasting & Training, visit www.ibf.org

We spend a lot of time worrying about AI hallucinations, but how often do humans invent patterns, explanations, and certainty that are not really there? In this episode, we explore the full gamut of human bias, from confirmation and anchoring to optimism and narrative bias. We also examine why planners can genuinely believe they see seasonality in just ten data points and what we can do to recognize and reduce bias in forecasting and decision-making.

IBF On Demand sponsored by Arkieva, your one-plan S&OP software. Learn more about Arkieva's innovative approach to forecasting here https://arkieva.com/

Support the show

To sign up for regular updates and the latest research, events, articles, podcasts and more from the Institute of Business Forecasting & Training, visit www.ibf.org