From Data to Drug: Making Your Biotech AI Ready with Data-Driven Best Practices

While many biotech organizations have invested a huge amount of time and resources into adopting new AI/ML techniques, many have struggled to integrate the infrastructure and practices needed to become fundamentally data driven. Because of this, many of these efforts stay on the periphery, contributing incremental value while the overall organization continues to function as a traditional biotech.

But for AI/ML to revolutionize the field to its full potential, data driven biotechs must fundamentally shift how they operate.

In this webinar, we'll introduce three practical and achievable strategies for deploying technical infrastructure and shifting your biotech organization towards becoming fundamentally data driven:

• Approach system design as an incremental evolution rather than a single destination.
• Expand the development cycle to encompass processes alongside technical infrastructure.
• Align technical development with experiment timelines to make sure you catch the bus.

Any biotech that has made the commitment to become data driven can use these strategies to begin to create a virtuous cycle that will continue to deliver results long into the future.

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