In the quest to attain the digitally connected laboratory of the future, organizations are faced with seemingly insurmountable decisions regarding the scope and strategy that should be deployed to achieve this endeavor. Many organizations have advanced down one path or another towards digital transformation, only to encounter roadblocks along the way.
Legacy systems, manual processes, data silos, and outdated technology pose a multitude of problems throughout this journey. The vast array of new technologies, advances in artificial intelligence (AI) and machine learning (ML), and cloud-based solutions open the door to endless possibilities for transforming your current laboratory environment. The dilemma lies within choosing the right combination of solutions to meet your current needs while creating bandwidth for the future state of your organization.
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