Abstract: 

Deploying machine learning and AI technologies to improve business outcomes is becoming a norm in leading organizations. They can be, though, difficult to implement in many organizations, due to their complexity, and specialized skills required. This is a story demonstrating that this is no longer the case. The presentation will showcase a complete implementation of a machine learning solution which predicts survivability of patients after going through major resections or replacements. The solution was developed with Hitachi Vantara’s Plugin Machine Intelligence (PMI), extending the Pentaho Data Integration platform. PMI is a visual tool and pools machine learning models from the most popular libraries used by the expert communities. PMI can be used to empower both technical and non-technical resources to provide insights into businesses.

Bio: 

Kevin Haas is Director of Professional Services in the Analytics & IoT practice at Hitachi Vantara. With over twenty years of experience with analytics, databases and predictive modeling, Kevin works with leading organizations to implement data-driven analytics and visualization solutions. Kevin holds a Master of Science degree from the Northwestern University and a Bachelor of Arts from University of Florida.