Biopharmas are struggling to overcome the inertia caused by fragmented, incomplete, and inaccessible experimental data that's locked away in silos and stymies research progress. Without clean, harmonized data, innovative AI/ML applications are barely imaginable possibilities in a utopian future state: the digital lab.
Is a digital lab powered by free-flowing, harmonized experimental data really possible? If so, what are some of the key considerations and pitfalls to avoid while traversing the perilous path to the lab of the future?
In this webinar, Joel Melby, Life Sciences Data Analyst at TetraScience, will share:
Watch the webinar to learn how scientists in life sciences overcome data roadblocks and challenges by leveraging cloud-native solutions that treat data as a first-class citizen.