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This webinar describes exactly what is required for compliance with Computer Software Assurance guidance, 21 CFR Part 11, and the European equivalent Annex 11 for local, and SaaS/Cloud hosted applications. It explains how to validate software employing Artific ...
An OSHA inspection provides a view into your organization’s safety culture. This training will share a step-by-step guide on how to strategically prepare for a safety audit before it happens, which includes newly defined rules that employers need to know. Addi ...
This training on FDA software validation and verification will provide you with the best practices necessary to ensure that all systems are validated in compliance with FDA regulations.
In this session, you’ll discover how Excel’s AI-powered features can supercharge your productivity: Work Smarter with Copilot – Generate formulas, summaries, and insights instantly. Analyze Data in Seconds – Ask questions in plain English and get ready-to- ...
Occupying a critical position in the success or failure of any pharmaceutical product launch or revision, Packaging and Labeling form a bridge between the conception of a product and its realization and distribution. Their activities are also crucial for compl ...
Establishing appropriate Quality Assurance metrics is important for several reasons. Metrics not only measure the health of your quality system, they have the ability to change behavior, drive quality culture and improve both individual and company performanc ...
Provides step-by-step instructions to produce excellent written presentations Learn how to balance between being precise enough to cover the subject matter yet general enough to apply to other locations and/or projects Learn how to deal with reviewers and ...
Technical Writing in an Industrial Environment differs from general correspondence in that it is written for a specific audience. It is a balancing act between being precise enough to cover the subject matter yet general enough to apply to other locations and/ ...
Experimentation is frequently performed using trial and error approaches which are extremely inefficient and rarely lead to optimal solutions. Furthermore, when it’s desired to understand the effect of multiple variables on an outcome (response), “one-factor-a ...