INTELLIGENT AUTOMATION IN LIFE SCIENCE
RPA I COGNITIVE I ARTIFICIAL INTELLIGENT I MACHINE LEARNING I NATURAL LANGUAGE PROCESSING
With life sciences companies spending over a billion dollars in R&D for one potential new drug, medical devices or medical supply product, the use of IA technologies have the potential to reap savings across the entire commercialization process from discovery to clinical trials to commercialization and marketing.
NOW is the time to take action and the best way to do so is to learn more about how to successful launch, implement, and/or expand IA programs on a technical nuts & bolts standpoint, as well as operational, IT infrastructure, workflow, regulations, and workforce level.
By attending the Intelligent Automation in Life Science conference, you will be able to learn from, benchmark, and meet & mingle with other Life Sciences companies that are at various stages of their IA journey, from planning & launching, evolving, and maturing – and within various department and functional areas of their organization.
Head of Software and Automation
Global Solution Center Head
Director, Global Process Owner Record to Report
Director, Automation – CoE
Eli Lilly and Company
Associate Director - Commercial Data Management & Analytics
Digital Transformation Leader & Global Senior Director, Digital Health
Senior Information Manager
Director – BPO Operations, Global Financial Solutions - Shared Services, GFS office in India
CIO and EVP Global Services and Process Excellence
Executive Director & Former Deputy Chief Data Officer
The Data-Driven Institute & U.S. Dept. of Commerce
A Roadmap to Establish a Successful IA CoE
How to Successfully Implement IA Technologies Into Your Operations & Remain Regulatory Compliant
How to Develop and Ensure a Safe Haven for Your Bot-Impacted Data
Current & Future Uses of AI & ML to Provide Powerful Predictive Analytics to A Wide Variety of Life Sciences Operations