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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 discuss how ZONTAL, a data platform, integrates organizations’ data (legacy and current) for optimized and seamless data-driven efforts.

Part 1: Data Preservation—with 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how digital preservation future-proofs research data by ensuring long-term accessibility, reducing costs, and retiring outdated systems.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—with 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—with 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—with 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.