Keith Bowen
Solution Advocate
Apprentice
With 24 years of experience in the Life Science industry, Keith is well respected for his knowledge and experience with MES product development, solution design, system integration, implementations, and support services for both large and small MES projects.
He has worked with many of the Top 10 Pharma, Biotech, and Medical Device companies, on both automation and MES solutions. Today, he is an MES/LES Advocate at Apprentice.io and works primarily with new customer engagement, interfacing between sales, product, and marketing.
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In the current pharma systems landscape, traditional on-premise technology stacks have led to isolated data silos at various sites. This hinders seamless access to high-quality data across systems, products, and locations, impacting both internal and external manufacturing. This lack of visibility complicates the acceleration of manufacturing processes among diverse teams and the management of the pharmaceutical product pipeline throughout its lifecycle.
In this webinar, we'll introduce the Tempo Manufacturing Cloud—a native AWS cloud platform for pharmaceutical companies. It offers scalable solutions for immediate use and future expansion. Its cloud-native design enables rapid implementation, and its low code/no code configuration approach cuts down Total Cost of Ownership (TCO) while enhancing Return on Investment (ROI).
In this webinar you will learn about:
Dave Sarosky
Senior Solution Engineer
Apprentice
Dave Sarosky has 13 years of experience in the life sciences informatics industry across LIMS and MES. He has a broad knowledge of QA/QC manufacturing processes within the life science, pharmaceutical, and biotechnology industries, specializing in pre-sales requirements analysis, solution presentation, solution design, and customer relationship building. Dave is currently a Senior Solution Engineer at Apprentice.io.
Powered by the insights from this webinar, pharma consultancy and integration professionals will get to see the Apprentice MES offering, and understand that it meets the market need for an easy-to-configure low-code/no-code offering that facilitates faster deployments for one or more sites.