AgiLab wants to accelerate Laboratory Digital Transformation with Oracle Cloud
Since 2016, AgiLab has moved their digital platform to Oracle cloud to help laboratories become more flexible and take the next steps for their digital journey. Customers benefit with a best-in-class cloud-based platform to support laboratory operational process from R&D, QA/QC through manufacturing.
During a recent interview with NL42 consulting, Joachim Ndiaye, CEO at AGILAB, commented:
“We want to help laboratories to be more efficient and unleash the potential from paper-based processes to paperless ones with an all-in-one lab data management platform. With Oracle Cloud, our AgiLab Platform breaks down data silos to accelerate R&D for faster time to market, improve team collaboration, enhance decision-making capabilities and facilitate to meet the increasing regulatory requirements with ease.”
Speed has become the necessary basis of competition
Nominated as ISV of the year 2018 by Oracle, during the last Oracle OpenWorld at San Francisco, AgiLab has shared during a plenary session this journey to Oracle Cloud and this strategy to speed up laboratory digital transformation. AgiLab strategy is built on 4 pillars that defined the laboratory digital platform:
AgiLab drives laboratory data management results with next-generation cloud-based applications for rapid innovation and regulatory compliance
AgiLab enables laboratory team to do their best work by unifying processes and remove reliance on paper with comprehensive applications connected through a common platform and user interface.
AgiLab thrives as your laboratory changes by extending existing applications, adding new features, and integrating with other technologies on a flexible, scalable, and secure framework powered by Oracle Application Express
AgiLab offer a greater return on investment with built-in capabilities by leveraging the power and flexibility of Oracle cloud and analytics technologies
For the 7th edition of PLA, AgiLab comes as Premium sponsor and, will present the lab of the future data strategy by leveraging machine Learning for full visibility on the data lifecycle.
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