CASE STUDY
Monday, March 17
12:15 PM - 12:40 PM
Live in Everett
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In the dynamic landscape of Generative Artificial Intelligence (GenAI), having a robust data strategy is more critical than ever. This presentation will explore how a well-defined data strategy can enhance the effectiveness of GenAI, driving innovation and maintaining a competitive edge. We will delve into the key components of a successful data strategy, including data quality, governance, and security, and discuss the unique challenges and opportunities presented by the GenAI era.
Results-driven technology strategy and innovation experience in healthcare and life sciences industry. Passion for improving patient lives through innovation—expertise in leading technology strategy roadmaps and innovation landscape. Focus on business process optimization, change management, and automation to create business advantage. Expertise in business development and optimization, agile and secure cloud-based business applications, data services, and infrastructure at scale in non-regulated and regulated environments (e.g., HIPAA, FDA/GxP). Strong artificial intelligence, machine learning, and data science skills and experience targeted at optimizing business results and competitive differentiation.
Specialties: Global Information Technology and Strategy Experience, Research and Development Informatics, Cross-functional Team Leadership, Clinical Trials Enrollment Acceleration, SAFe Scaled Agile Framework, Process Development and Maturity, Global Operational Excellence, Pharmaceutical and Healthcare Industry, Balanced Scorecards, Artificial Intelligence, Generative AI, Machine Learning, Data Analytics, Agile Project Management, Medical Informatics, Product Development, Product Marketing, Software Engineering, Life Sciences, Biotechnology, Community Oncology, Genomics, Cloud Strategy, Enterprise Architecture, Creativity and Innovation, Customer Service, Communications, Public Speaking