GVW is Silver Sponsor for 2nd Annual Pharma GMP, GCP, and Quality Management 2022


Artificial Intelligence for Laboratory Master Data Processing -From Concept to Realization

Why employing Digibots for an Efficient and Effective Lab Matters?

Let’s face it, the lab workload is testing compounds and samples. Lots of it! Increasing levels of digitization generates a wall of data; material specifications and laboratory methods to be set-up and maintained in many different Lab Systems amongst others. Global Value Web (GVW) deals with this data every day and proactively works towards an increased efficiency per Laboratory Master Data-type. GVW Lab Professionals aided by Artificial Intelligence Digibots are advancing the Lab Master Data processing services. Thus, allowing clients to execute tests faster, more reliable, with compliance, and preserving or contributing to the data integrity of the drug products involved.

This efficiency improvement involves a few steps:

  • Structuring Lab Master Data from Document-level to Attribute-level in mature Drug Product Lifecycle Management Systems
  • Generation of an AI-driven Digibots that configure Material Specifications in LIMS

At the 2nd Annual Pharma GMP, GCP and Quality Management, GVW wishes to demonstrate the Digibot Evolution following the overarching Life Sciences Value Chain context including Product Data to be captured at Attribute-level, linked together through a solid Drug Product Lifecycle Management solution.


Parthiban Sulur

Vice President – Innovation & Growth

Parthi has over 30 years of professional experience, with more than a decade in the Pharma and Life Sciences industry. He possesses multi-disciplinary skills in almost all functional areas such as R&D, Innovation, Delivery Management, Operations, Consulting in diverse domains and geographies.

Parthi is responsible to design and drive teams that can deliver value to the customer from Data spread across the entire Lifecycle of Pharmaceutical products. He has extensive expertise in Data and Intelligence projects of all sorts, working with Multiple technology and innovation streams.


Apr 28 - 29 2022


8:00 am - 6:00 pm

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