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What Every Life Science Manufacturer Needs to Know About Analytics Webinar

Learning Level: Basic
Session Length: 1 hour

Smart, connected devices, analytics and machine learning are transforming the life sciences industry, and are allowing companies to greatly improve drug manufacturing processes and deliver even better patient outcomes.

But as the number of intelligent devices has proliferated, manufacturers are struggling to effectively exploit the Big Data generated across the plant floor and beyond, and, as a result, they are missing the opportunity to use it in truly transformative ways.

In a life sciences plant, a scalable analytics platform can ingest data from diverse data types – and help cut through the clutter by modeling the data to find meaningful correlations that lead to new and useable insights.

During this webinar we will take you through the next steps of plant and enterprise data analytics and will show you how to maximize the value of your operational data, so you can gain insightful views for more informed and faster decision making.

Learning Objectives

  1. Simplify Data Science Practice – Collect, collate, and model data and use analytics to find meaningful correlations that lead to new insights.
  2. Extend Insights to drive action in real-time – Take the next step toward more predictive and prescriptive analytics that can positively impact ongoing continuous and batch processes.
  3. Enable Flexibility at Enterprise Scale – How to share and deliver highly productive, flexible solutions through information-enabled production plants.



Antoine Pris

Information Solutions Manager
Rockwell Automation
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