AI Readiness in the Lab: How Knowledge Graphs Unlock the Future of Scientific Data

Event Organizer: Semaphore Solutions

Event Website: https://us02web.zoom.us/webinar/register/2017462197653/WN_MrUbLuLOSfuwJ0DcUXu2rw#/registration

Event Overview:

AI is only as powerful as the data it learns from—and for scientific labs, that power starts with how data is captured and structured at the source. In this webinar, we’ll explore what it truly means for data to be “AI-ready,” and why building a LIMS with a strong structural foundation is critical to unleashing the full potential of machine learning and advanced analytics.

Join experts from Labbit as they unpack the principles behind designing lab systems that support AI from the ground up. You’ll learn:

• How to architect your LIMS to ensure data is structured, contextualized, and machine-readable from day one
• What makes data usable for AI—from labeling and integrity to connectedness and semantic context
• Why knowledge graphs are rapidly replacing traditional databases as the foundation of AI-ready infrastructures
• How to design ontologies that embed meaning into your data and power more intelligent queries and insights
• Why Labbit’s knowledge graph-powered LIMS is uniquely built to support AI and ML in biotech, pharma, and materials science

Featuring real-world examples and best practices, this session is ideal for scientists, data managers, and innovation leads who want to future-proof their data infrastructure and unlock the full potential of AI.

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