Implementing and managing a LIMS is a costly endeavor. For many organizations, it quickly becomes a cost center in a QA/QC operation, starting from the initial configuration all the way through to the constant testing, validation and protocol changes.
And it can also be challenging. The flexibility of LIMS permits wide variation in how LIMS performs its business process and accepts results. Once in use within a lab, changes become even more imposing, often dragging down business agility and leading to an increase in staff.
Check out our webinar “Avoiding Pain in Your LIMS,” and learn how standardizing your LIMS configuration approach and ‘automating away’ details pertinent to implementation, reduces the initial investment as well as increases the ability for labs to collaborate, share data and measure their performance.
Click here to watch the webinar.
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Learn why endless discussions and the relentless pursuit of flawless data are actually costing you valuable time, insights, and competitive advantage – just like it did for giants like Kodak and Blockbuster.
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Navigating AI in Banking and Financial Services: A Risk-Based Rebellion for Leaders
Every shiny AI use case in regulated industries has a shadow: governance, compliance, model risk, ethics, bias, explainability, cyberattack vectors and more. It's not that organizations and leaders don’t want AI, it’s that they’re paralyzed by the political, regulatory, and operational realities of deploying it. Sparq's Chief Technology Officer Derek Perry and VP, BFSI Industry Leader Rob Murray argue we need to change that. Check out this article to learn how to actually ship production AI use cases in regulated environments.