Artificial Intelligence
He was working out prediction algorithms on paper in 2010 and shipping them in real products by 2019, twelve years before most people met their first chatbot. That’s machine learning and predictive analytics, which is a different job from the one everyone started doing in 2022.
Where he lands
Most companies bought the tool before deciding what they wanted it to do. That is why so many rollouts stall six months in, and it is not a technology problem.
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Boon: facial recognition and text models in production
Founded and led Boon, a cloud staffing platform, shipping facial-recognition and text models as part of the product. Acquired in 2020. The strongest AI receipt in the set, because it is production software rather than analysis.
See it -
Anutra Innovations: ML that reordered how clinicians learn
President of Anutra Innovations, which he conceived and led. The product used machine learning to read each learner’s patterns and behaviour, then reorder their training videos and learning objectives to drive competence and behaviour change, with the end goal of better PATIENT outcomes, not just better test scores. Delivered on a fleet of 100 iPads, provisioned with help from a local Apple store and cycled repeatedly through hundreds of healthcare practices, training thousands of providers.
Ryan’s account, substantiated on request -
Predicting which beers a local business would sell
A side project applying predictive analytics, big data, and machine learning to forecast which beer styles and brands would sell for local businesses. Later bought out.
Ryan’s account, substantiated on request -
Predictive maintenance dashboards for commercial HVAC
Worked closely with a commercial HVAC and trades business to build dashboards for preventative maintenance: predictive and prescriptive analytics and early machine-learning models applied to a decidedly non-tech industry.
Ryan’s account, substantiated on request -
A pitch deck promising AI-predicted future costs
For a company Ryan co-founded, the deck stated the product would leverage artificial intelligence to predict future costs. The algorithms were worked out longhand on computer paper, scanned, and sent back and forth with his co-founder. The date is the point: fifteen years before the term became a marketing default.
Ryan’s account, substantiated on request - c. 2018
Netsertive: big data behind hyper-localized advertising
Vice President of Marketing at Netsertive, where big data and analytics drove hyper-localized ad targeting.
Ryan’s account, substantiated on request - Now
Changed position
The Anutra system ran deep engagement monitoring: whether a device was unlocked, how often, how engaged or distracted a learner was, how they moved through quizzes and activities. A full feedback loop, well beyond watching a video and answering questions. He built the surveillance techniques he now questions publicly. His position is not that the tools are illegitimate (consenting adult professionals training for patient safety is not a child’s bedroom) but that they have been pushed far past where they belong.
Ryan’s account, substantiated on request