Data Intelligence for Chemicals and Materials R&D

DATE: April 29, 2020

TIME: 8:00am PDT | 11:00am EDT
16:00 BST | 17:00 CEST

DURATION: 60 Minutes

Overview

Digitalization in chemicals R&D has promise to greatly accelerate innovation rates. In particular, data analytics and data-driven approaches to supplement traditional lab experimentation are attracting lots of interest. A major obstacle to this vision is the general lack of availability of data in a curated and contextualized form. This is despite many organizations investing in technologies to digitalize experimental data capture and move traditional paper-based lab notebooks to their digital counterparts.

Data intelligence fills the gap between R&D IT infrastructure designed for data capture and scientists’ need to extract these data in a meaningful way. This webinar covers an approach that combines data federation, contextualization and out-of-the-box scientific domain models to solve various complex data extraction use cases.

Key Learning Objectives

  • How accelerating new product development critically depends on a data-centric R&D IT infrastructure.
  • The impact of a unified data-driven platform on collaboration and communication across R&D.
  • How harmonized R&D data simplify customer-centric R&D projects.

Who Should Attend

  • Heads of R&D defining R&D digitalization strategies.
  • IT leaders driving R&D digitali-zation initiatives.
  • Lead scientists involved in data analytics efforts or are heavily leveraging data for project planning and decision support.
Event Type
Webinar
Date
Date
2020, 4월, 29 | 16:00– | 17:00

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