Accelerate insights from ML with data pipelines and autoscaling across BioTech, AgTech, Pharma, Genomics, healthcare, and general Life Sciences use cases.
Investment in healthcare and life sciences continues to rise, driven by an aging population and the promise of new drugs and breakthrough technologies. The rapid development, creation and rollout of the new COVID vaccines and the promise of RSV vaccines continues to energize this market. Machine learning has played a role in developing these breakthroughs and will do so for future advances.
However, there are some unique challenges to developing ML models for healthcare and life sciences:
Pachyderm empowers data engineering teams to automate complex data pipelines. Our unique architecture is cost-effective at scale and enables sophisticated data transformations across any type of data. We provide auto-scaling and parallelized processing of multi-stage, language-agnostic pipelines with data versioning and data lineage tracking..
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