Why Life Sciences R&D Organizations Are Replatforming Their Experimental Data to the Cloud
Visioneers for a webinar on data pipeline roadblocks many life sciences companies face – and how a cloud migration strategy can help accelerate scientific outcomes.
- Discovery and innovation are slowed by fragmented, heterogeneous experimental data, legacy on-prem instrumentation & systems, and outdated lab workflows.
- Initiatives of cloud replatforming enable life sciences organizations to better handle the scale, scope, and complexity of experimental data.
Benefits of Life Sciences Cloud Technology
For most life sciences organizations, their data is not Findable, Accessible, Interoperable, or Reusable (FAIR).
Scattered data creates silos while peer-to-peer integrations between data sources are susceptible to failure. With data flow automation and harmonized FAIR data in a cloud environment, scientists can better harness the power of experimental data to expose hidden insights and accelerate discovery.
When you replatform your scientific data to cloud solutions, you:
- Improve collaboration and rate of innovation
- Reduce operational costs
- Enhance security
Implement Your Cloud Replatforming Project with TetraScience
TetraScience offers a completely open, data integration approach– connecting any data sources to data targets. The Tetra Data Platform collects, extracts, validates, harmonizes, and prepares the data for artificial intelligence and machine learning (AI/ML). This enables life sciences organizations to leverage data science to accelerate time to market.
Watch our webinar to learn more.