Industries and Use Cases

Pachyderm is used across a variety of industries and use cases. Pachyderm provides a powerful solution to optimize data processing, MLOps, and ML Lifecycles.

Key Industries

  Bio-tech & Life Science

The scientific method’s reproducibility gave birth to the scientific revolution. As biotech firms turn to AI/ML to drive next generation drug discovery, they need a new kind of reproducibility: Pachyderm’s data lineage delivers the scientific method data scientists need to create scalable, repeatable experiments now.

  Financial Services

Machine Learning has made a large impact in Financial Services by addressing a wide range of applications from fraud detection to improved customer service and robo investing tools. Learn how Pachyderm’s Automated Data Versioning and Data-Driven Pipelines help data science teams in Financial Service organizations.

Top Data Pipeline Use Cases

  Natural Language Processing

Natural Language Processing (NLP) can benefit greatly from Pachyderm’s automated versioning and data driven pipelines. 

  Video and Image ETL at Scale

Video and imaging ETL is characterized by large unstructured data sets that can create bottlenecks for teams as they look to scale.

  Data Warehouse Processing

Data Engineering and Science teams are increasingly looking to leverage their Data Warehouse for innovative machine learning (ML) projects such as churn analysis or customer lifetime value projections. 

  Data Centric Processing

AI/ML researchers traditionally focused on code and algorithms first and foremost, but that trend is changing. The key to Data Centric AI is treating data as the center of the process, not as an afterthought. Pachyderm's data orchestration approach offer total flexibility.

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