A Gooder AI case study and demo: profiting on machine learning
Your model's AUC is 0.86. Your boss's eyes have glazed over. Sound familiar?
The biggest hurdle for data science teams isn't building the model; it's proving its dollar value. This presentation shows how a dental group could translate a no-show prediction model into a clear business case worth $$$
It's about shifting the conversation from abstract metrics to tangible ROI.
Henry Castellanos is a data scientist extraordinaire. He goes beyond establishing a strong technical performance for his ML models to also maximizing their business value. Let this sink in: Most data scientists don't do that – most ML projects don't plan and sell predictive AI deployment according to the the explicit business value.
Interestingly, Henry points out that using Gooder AI to do this even bucks up his own confidence in his models and their business value.
Watch Henry's presentation to see exactly how to bridge the gap from ML to real-world value.
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This presentation from Henry Castellanos is a repeat of one he gave at Machine Learning Week 2025:
Predicting Patient No-Shows: Evaluating the Effectiveness of No-Show Models in Dentistry
In the world of healthcare, operational efficiency and patient care often hinge on accurate predictions of patient behavior. This session delves into the development and evaluation of a “No Show Model” designed to predict whether a patient will attend their dental appointment. Henry Castellanos, Director of Data Science at Risas Dental and Braces, will share insights into the modeling process, focusing on the rigorous analysis conducted to determine the real value to patients and the organization overall in deploying existing models.
The session will highlight the role of Gooder.ai, a cutting-edge AI tool used to assess model performance, identify key improvements, and evaluate the real-world value these predictions bring to the organization. Attendees will gain a practical understanding of how to validate machine learning models for deployment, avoid common pitfalls in predictive modeling, and harness data-driven tools to enhance decision-making in healthcare settings. Whether you’re a data scientist or a healthcare professional, this session will provide actionable strategies for turning predictions into impact.
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About Gooder AI:
Predictive AI offers tremendous potential – but it has a notoriously poor track record. Outside Big Tech and a handful of other leading companies, most initiatives fail to deploy, never realizing value. Why? Data professionals aren't equipped to sell deployment to the business. The technical performance metrics they typically report on do not align with business goals – and mean nothing to decision makers.
Gooder AI empowers stakeholders and data scientists alike to plan, sell, and greenlight predictive AI deployment. It establishes and maximizes the value of each machine learning model in terms of business outcomes like profit, savings – or any KPI. Only by measuring value can the project actually pursue value. And only by getting business and data professionals onto the same value-oriented page can the initiative move forward and deploy.
See also this demo of Gooder AI: https://youtu.be/6seERbo0-vE
... and this demo of the Gooder AI chatbot: https://youtu.be/FP27JpdQsjI
Learn more about Gooder AI: https://www.gooder.ai
Access Gooder AI hands-on here: https://www.gooder.ai/handson
Your model’s AUC is 0.86. Your boss’s eyes have glazed over. Sound familiar?
The biggest hurdle for data science teams isn’t building the model; it’s proving its dollar value. This presentation shows how a dental group could translate a no-show prediction model into a clear business case worth $$$
It’s about shifting the conversation from abstract metrics to tangible ROI.
Henry Castellanos is a data scientist extraordinaire. He goes beyond establishing a strong technical performance for his ML models to also maximizing their business value. Let this sink in: Most data scientists don’t do that – most ML projects don’t plan and sell predictive AI deployment according to the the explicit business value.
Interestingly, Henry points out that using Gooder AI to do this even bucks up his own confidence in his models and their business value.
Watch Henry’s presentation to see exactly how to bridge the gap from ML to real-world value.
———————–
This presentation from Henry Castellanos is a repeat of one he gave at Machine Learning Week 2025:
Predicting Patient No-Shows: Evaluating the Effectiveness of No-Show Models in Dentistry
In the world of healthcare, operational efficiency and patient care often hinge on accurate predictions of patient behavior. This session delves into the development and evaluation of a “No Show Model” designed to predict whether a patient will attend their dental appointment. Henry Castellanos, Director of Data Science at Risas Dental and Braces, will share insights into the modeling process, focusing on the rigorous analysis conducted to determine the real value to patients and the organization overall in deploying existing models.
The session will highlight the role of Gooder.ai, a cutting-edge AI tool used to assess model performance, identify key improvements, and evaluate the real-world value these predictions bring to the organization. Attendees will gain a practical understanding of how to validate machine learning models for deployment, avoid common pitfalls in predictive modeling, and harness data-driven tools to enhance decision-making in healthcare settings. Whether you’re a data scientist or a healthcare professional, this session will provide actionable strategies for turning predictions into impact.
———————–
About Gooder AI:
Predictive AI offers tremendous potential – but it has a notoriously poor track record. Outside Big Tech and a handful of other leading companies, most initiatives fail to deploy, never realizing value. Why? Data professionals aren’t equipped to sell deployment to the business. The technical performance metrics they typically report on do not align with business goals – and mean nothing to decision makers.
Gooder AI empowers stakeholders and data scientists alike to plan, sell, and greenlight predictive AI deployment. It establishes and maximizes the value of each machine learning model in terms of business outcomes like profit, savings – or any KPI. Only by measuring value can the project actually pursue value. And only by getting business and data professionals onto the same value-oriented page can the initiative move forward and deploy.
See also this demo of Gooder AI: https://youtu.be/6seERbo0-vE
… and this demo of the Gooder AI chatbot: https://youtu.be/FP27JpdQsjI
Learn more about Gooder AI: https://www.gooder.ai
Access Gooder AI hands-on here: https://www.gooder.ai/handson
