CEO & Founder Elemental Machines, Massachusetts, United States
Yesterday’s data differentiator was universal connection. Today, it all comes down to access. And tomorrow, the data advantage will be held by those who leverage artificial intelligence to analyze reactions and optimize operations. The evolution of laboratory data collection has evolved faster than most LabOps players predicted — and many legacy brands are able to respond. The way scientific organizations embrace or reject data maturity will determine whether they disrupt an industry or find themselves disrupted. This presentation will harness years of experience working alongside hundreds of lab leaders and feature insights regarding the future application of deep tech to data collection and analysis. Attendees will walk away with best practices for optimizing their operations, both today and in the future.
Takeaways: How lab managers can optimize their lab’s usage of data to measure the long-elusive ROI of R&D Why legacy organizations face steeper hurdles to data maturity than nimble startups How research and researchers will be impacted by the advance of artificial intelligence and automation
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