CSols Inc. is teaching 4 short courses at Pittcon 2027. We are excited to see you all in Pittsburgh, PA. This year, we will host the following:

Short Course

Lab Cybersecurity & Data Integrity: Protecting Your Science, Systems, and Validated State

April 26, 2027 | 8:30 a.m. – 12:30 p.m.

As laboratories become more connected, cybersecurity threats can put analytical data, daily operations, and regulatory compliance at risk. How can laboratory leaders protect their systems without disrupting critical workflows?

This interactive course explores practical approaches to securing laboratory data using the NIST Cybersecurity Framework and ALCOA+ principles. Through real-world scenarios and hands-on exercises, participants will learn to identify vulnerabilities, manage legacy systems, maintain compliance, and respond to security incidents with confidence.

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Managing Lab Informatics Projects: A Practical Guide for Scientists and PMs

April 26, 2027 | 1:00 p.m.

Implementing a LIMS, ELN, or laboratory data platform involves more than selecting the right technology. How can project teams manage competing priorities, complex requirements, and regulatory expectations while keeping implementation on track?

This interactive course explores practical project management strategies for laboratory informatics initiatives, with a focus on backwards planning, stakeholder communication, scope management, and risk mitigation. Through hands-on exercises and real-world scenarios, participants will learn how to plan successful implementations, navigate challenges, and prepare for a smoother go-live. No prior project management certification required.

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Beyond CSV: Harmonizing FDA CSA, GAMP 5.2, and EU Annex 11/22 in the Modern Lab

April 27, 2027 | 8:30 a.m. – 12:00 p.m.

As artificial intelligence becomes more common in regulated laboratories, traditional software validation approaches face new challenges. How can laboratories demonstrate compliance and data integrity when AI systems learn, adapt, and produce unpredictable results?

This interactive course explores practical, risk-based approaches to validating AI-enabled systems using CSV, CSA, and continuous validation principles. Through real-world scenarios and exercises, participants will learn how to assess AI risks, establish effective human oversight, navigate evolving regulatory expectations, and develop defensible validation strategies for their laboratories.

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The Lab AI Playbook: Operationalizing AI in Scientific Environments

April 27, 2027 | 1:00 p.m. – 4:30 p.m.

AI is transforming laboratory operations, but how can laboratories determine which technologies deliver real value while maintaining data integrity and regulatory compliance?

This interactive course explores practical strategies for evaluating, adopting, and governing AI in scientific environments. From effective prompting and AI-enabled LIMS and ELN features to advanced automation and autonomous agents, participants will learn how to identify valuable use cases, evaluate vendor solutions, and build a responsible AI roadmap that aligns with their laboratory's needs.

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