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Resources Library

Webinar

Digitalization & AI-Enablement in R&D

Hear how R&D organizations are digitalizing workflows and preparing for AI. Industry experts share practical strategies for prioritizing data and workflows, and overcoming implementation challenges to improve efficiency and accelerate innovation.
Webinar

Practical Method Development for Today’s Analytical Scientist

This webinar series will cover practical applications of retention modeling, software-assisted workflows, and in-silico tools to support faster development, reduced experimental effort, and more robust, QbD-aligned methods.
Webinar

In Silico Mapped Separation Spaces for Green Method Development

T. Handlovic, Amgen

Discover how Amgen uses in-silico mapping of separation spaces to develop greener chromatographic methods—reducing solvent use, boosting resolution, and accelerating method development.
Webinar

Spectroscopic Workflow Automation & Data Management…Going Paperless

Á. Szigetvári, Gedeon Richter

Discover how Gedeon Richter is automating spectroscopic workflows and managing analytical data end-to-end—going paperless, improving traceability, and accelerating method development in R&D.
Webinar

Smarter Achiral HPLC Method Development: Leveraging In-Silico Tools for Efficiency

S. Bondili, Pharmaron

Discover how Pharmaron accelerates achiral HPLC method development using in-silico tools and digital optimization strategies. Learn how they leverage predictive modeling, automation, and smarter data use to improve efficiency, reduce experimentation, and drive faster, more reliable analytical results.
Webinar

Digitalizing Scientific Data Management at Pfizer PharmSci

B. Du, Pfizer

Pfizer’s 5 year data management journey has given them a global knowledgebase that manages chemical and analytical data across various workflows. Scientists are accessing data and saving time. Learn how ACD/Labs technologies are enabling their digital evolution strategy.
Webinar

Data, So Much Data…Improving Spectroscopic Data Analysis & Management at FMC

C. Amezcua, FMC

FMC decided to digitalize and take control of their data to prevent loss of knowledge, ease data sharing and collaboration, and improve decision traceability. Hear about their journey towards data-driven innovation.
Webinar

Enabling Self-Driving Labs for Synthetic Molecule Process Development

A. Ramirez Galilea, Takeda

Discover how Takeda is accelerating chemical process development with AI-enabled high-throughput experimentation (HTE), automation, and integrated hardware/software.