From Chaos to Organized: Setting Up Your Lab’s Digital System

Step-by-step guide to implementing a digital lab notebook system across your entire lab or team. Learn how to set up organizational structure, create useful templates, establish naming conventions, roll out to your team without resistance, and build sustainable documentation habits. Includes real examples from successful lab transitions.[Read More]

Bridging the Gap: Training a Multigenerational Workforce

Today's workforce spans four generations, each with unique learning styles and expectations. From Baby Boomers who thrive in structured, hands-on settings to Gen Z's demand for mobile-friendly, interactive experiences, organizations must rethink training strategies. Discover how to bridge the generational divide and build programs that engage every employee.[Read More]

Recession-proofing Your Lab With Informatics and AI

When budgets tighten, labs don't need costly system overhauls — they need smarter use of what they already have. Learn how layering AI onto existing LIMS, ELN, and SDMS platforms can eliminate manual tasks, recover thousands of labor hours, and turn dark data into actionable insights, transforming your lab from a cost center into a competitive advantage.[Read More]

Kalleid Winter 2026 Newsletter

Kalleid's Winter 2026 newsletter delivers actionable insights for life science organizations, featuring change management best practices from the Pistoia Alliance, a LabWare LIMS implementation case study, real-time data integration with Sapio webhooks, and guidance on GxP validation of AI/ML tools and AI-assisted technical writing.[Read More]

Securing the Autonomous Lab: Why AI Agents Require Different Cybersecurity

AI agents transform laboratory efficiency but create security challenges traditional lab IT wasn't designed for. Agents authenticate thousands of times daily, access multiple systems simultaneously, and operate autonomously 24/7. A compromised agent can corrupt processes, manipulate results, or extract data at machine speed. Discover why autonomous operations require different security architecture.[Read More]

Laboratory Informatics Weekly Update – Volume 24, Issue 8

February 23, 2026 Laboratory Informatics Weekly Update Volume 24, Issue 8   In This Issue  Featured Books LIMS Selection Guide for ISO/IEC 17025 Laboratories  Featured Content AI Agents in the Lab – Moving From Analysis to Autonomous ActionAI agents represent something fundamentally different from AI analysis tools most labs already use. An AI agent doesn't just analyze data—it takes autonomous actions across laboratory systems. It monitors instrument queues, reorders reagents, adjusts workflows, and routes results without human intervention. The difference between AI analysis and AI agents is the difference between a calculator and an autopilot.[Read More] Data Integrity Essentials: From…

AI Agents in the Lab – Moving From Analysis to Autonomous Action

AI agents represent something fundamentally different from AI analysis tools most labs already use. An AI agent doesn't just analyze data—it takes autonomous actions across laboratory systems. It monitors instrument queues, reorders reagents, adjusts workflows, and routes results without human intervention. The difference between AI analysis and AI agents is the difference between a calculator and an autopilot.[Read More]

Data Integrity Essentials: From Workflows to Audits

Labs today aren't just storing data — they're expected to prove every change with an unbroken audit trail. This article breaks down how ALCOA+ principles, strategic workflow planning, and proper system configuration form the foundation of data integrity. Learn how to identify gaps, build a roadmap, and use analytics as a continuous monitor for data health.[Read More]

User Training and OCM Support for a LabWare Implementation for a Global Biopharmaceutical Company

A global biopharma company faced fragmented systems, manual data entry from external partners, and compliance risks. This case study details how a cloud-based LabWare LIMS implementation — paired with a structured change management and training program across sites in the US, Germany, and Japan — achieved 100% user adoption and ongoing improvement.[Read More]

Maintaining Data Integrity During ELN Migration

Migrating from legacy systems to a modern ELN is high-stakes — historical research data contains irreplaceable IP, regulatory evidence, and institutional knowledge. This article outlines how to design migration strategies that preserve scientific context, maintain audit trails, and meet FDA 21 CFR Part 11 and EU Annex 11 compliance requirements.[Read More]

Lab Collaboration Without Email Chaos: Sharing, Permissions, and Teamwork

Learn how to share experiments with your PI, collaborate with lab mates, and coordinate across teams without email attachment chaos. This guide covers sharing workflows, permission settings, real-time collaboration, and team coordination using digital lab notebooks. Includes practical examples for common lab scenarios and permission strategies.[Read More]

Planning an AI-Driven Lab in 2026? Build a Strong Data Foundation with Smart LIMS Software

AI is becoming essential for labs in 2026, but many remain unprepared due to fragmented, inconsistent data. The bottleneck isn't algorithms—it's data quality. Labs need structured, standardized, context-rich data. A modern cloud-based LIMS provides the critical foundation, enabling data integration, automation, traceability, and AI-readiness at scale.[Read More]