Metadata is the Key to AI
Building solutions that embed machine learning algorithms to deliver insights into business workflows requires the same rigor as in other scientific practices. Adopting best ideas from conducting "Reproducible Science" enables credibility, and explainability, especially when dealing with highly-regulated industries like Medicine, Insurance, or Finance. This talk focuses on the vital ingredient necessary for enabling AI - accurate, secure, and reliable data, which in turn is enabled by retaining precise metadata about instruments, methods, touchpoints, lineage, and reference data.
Saira is a data-driven leader with extensive expertise in delivering innovative solutions for complex business problems from inception to production. Domains of experience include Bioinformatics, Medical Informatics, Healthcare, Insurance, Business Analytics, Text Search, Patent, and Intellectual Property Analytics. She is an advocate for metadata best practices and for establishing standards and business processes to enable high-quality data-driven metrics and actionable insights.
She received her Ph.D. in Computer Science with a focus in Bioinformatics from the University of Connecticut, and her post-doctoral training in Medical Informatics is from Yale University.