5 Metrics That Help to Calculate ROI of Your AI Project in Pharma Manufacturing

Whether you are implementing your first or your tenth artificial intelligence (AI) project at your manufacturing site, the hardest part isn’t necessarily the implementation of the project but measuring the return on investment (ROI) generated by the project.

In this webinar, we will explore a use case where millions in ROI were realized by improving an already efficient process by just 1%. We will also discuss selecting your projects and prioritizing them by what will drive the most value and produce the highest potential ROI. We’ll include tips for gauging your organization’s cultural readiness. We will provide guidance for building the roadmap for implementation. Finally, we will look at how to build compelling visualizations (dashboards) to ensure user adoption.

Register for this webinar to learn:

• Tips for gauging your organization’s cultural readiness
• Guidance for building the roadmap for implementation
• How to build compelling visualizations (dashboards) to ensure user adoption

Speakers

Lawrence Baisch, Chief Customer Success Officer, Aizon

As Aizon’s CCSO, Lawrence is responsible for the delivery of solutions that increase the efficiency and effectiveness of their customers’ critical business processes and that provide insight into performance over time.

Lawrence brings over twenty-five years of both domestic and international business expertise in information technology and strategy to Aizon. As a senior executive, he has held responsibility for corporate and IT strategy, IT product development, IT implementation and financial analysis and budgeting. As a founder of Luminous Systems, a software engineering and services firm, he has led the delivery of SaaS solutions to both private and public sector customers. Throughout his career, Lawrence has driven solutions through all phases of the IT life cycle from concept to operations.

Lawrence is actively involved with Habitat for Humanity and The Special Olympics, and he serves on the Board of Directors of the San Francisco Senior Center. He holds a B.A. from Michigan State University as well as M.S. and M.B.A. Degrees from Rensselaer Polytechnic Institute.

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Kevin Baughman, Data Science Practice Lead, Aizon

Kevin Baughman is a Data Science Practice Lead at Aizon with a passion for problem solving and generating value from data. Kevin attended North Carolina State University for both undergraduate and graduate school where he received two B.S. degrees in Applied Mathematics and Economics as well as an M.S. degree in Advanced Analytics from the Institute for Advanced Analytics.

Kevin has always had a passion for teaching and a knack for explaining complex concepts to a wide array of audiences. He professionally served as a tutor for people from various backgrounds on technical subjects, from the elementary to collegiate level. This passion for teaching combined with his analytical curiosity launched him into multiple customer-facing roles, ultimately ending up as a consultant specializing in data science and solution engineering. As a consultant, Kevin led and managed projects in both the private and public sector for clients in multiple industries, including banking/finance, insurance, transportation, healthcare, and pharmaceuticals.

Now at Aizon, Kevin continues to deliver value by working hand-in-hand with customers to co-create, develop, and implement strategic, AI-focused solutions.

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