Wednesday, February 19 at 3:00 p.m. EST
Wednesday, February 26 at 3:00 p.m. EST
Wednesday, March 12 at 3:00 p.m. EST
Wednesday, March 19 at 3:00 p.m. EST
Organizations gain the most value when they are data-driven and have moved beyond siloed data sources such as LIMS or ELN to allow seamless data access. In this series of quick chats, we’ll discuss how ZONTAL, a data platform, integrates organizations’ data (legacy and current) for optimized and seamless data-driven efforts.
Each 15-minute session focuses on a different critical topic.
Part 1: Data Preservation—Dan DeAlmeida
A shift to digital preservation is the modern approach to Scientific Data Management Systems (SDMS). Explore how digital preservation future-proofs research data by ensuring long-term accessibility, reducing costs, and retiring outdated systems.
Part 2: IP Protection—Danielle Moore
Learn how the inherent accessibility and searchability of a platform supports your intellectual property portfolio.
Part 3: Decommissioning Legacy Systems and System Rationalization—Kelsey Boyle
Hear how decommissioning legacy systems can be done quicker than migration efforts without losing access to data or analytic capabilities across legacy and current data.
Part 4: Artificial Intelligence and Machine Learning—Dan DeAlmeida
Understand how making data findable, accessible, interoperable, and reusable (FAIR) in a platform supports the use of artificial intelligence and machine learning (AI and ML), allowing for true data-driven decision-making.
A one-time registration gets you access to all four.
Join our Partner Spotlight with ZONTAL to learn how easy it can be to place your data in an accessible exchange that empowers informed decision-making. Adding ZONTAL to your informatics portfolio will transform your laboratory’s data management practices.
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Who Should Attend:
Laboratory managers, quality managers, regulatory specialists, business analysts, and researchers should attend these chats to see how ZONTAL can solve the data problems they face. This series is for anyone wanting to better understand how a platform can play a key role in your data strategy.
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