Processing, analyzing, and creating ML models based on unstructured data is critical because over 80% of all enterprise data is unstructured.
There are many types of unstructured data which have their own special sets of characteristics and challenges. The key to successfully processing unstructured data is to understand these characteristics and use specialized libraries that are designed for these data types.
Pachyderm’s parallel processing engine lets your team tear through huge audio and video datasets 10 to 100X faster than
linear processing.
Whether you’re working in Media & Entertainment doing automatic subtitle generation, or dynamic ad insertion into online videos, or processing closed circuit video feeds, or tracking packages and cargo movements, or monitoring industrial machines on factory floors, Pachyderm can help you do it faster and more reliably.
Images are a challenging machine learning use case because you’re dealing with lots of little files, or big binary files. Shoehorning images into databases meant for highly structured data simply doesn’t work well.
Pachyderm lets you rip through big stores of images fast, feeding them to parallelized workers, so you can do everything from finding hidden streets and buildings in satellite imagery, to spotting pedestrians in autonomous vehicle vision systems, to facial recognition for security.
We’ve known how to deal with structured text for decades, so it’s no surprise that most companies focus on the tried and true database as their backend. But for the tremendous amounts of unstructured text pouring into datacenters, everything from financial reports, to chat logs, to Tweets and Slack posts, databases just don’t work.
Pachyderm’s file system based approach lets you do next-generation NLP, business analytics, legal document analysis and more.
Healthcare, biotech and pharmaceutical companies looking to leverage the next generation of machine learning to improve their understanding of genetics look to Pachyderm to unlock hidden insights in the universal code of organic life.
Whether you’re doing advanced drug discovery, risk analysis for trials, repurposing existing drugs, or looking for new targets for existing drugs, Pachyderm can help you dramatically speed up your data pipelines and get drugs and cutting edge-therapies to market faster and more successfully.
Database driven platforms simply don’t provide the right backend to manage the massive amounts of unstructured data your machine learning teams are struggling with right now. To truly unlock the power of your data you need an AI/ML platform that treats unstructured data as a first-class citizen, not an afterthought.
Work directly with any file type in your code, no schema or complex queries required
Track every version of your code, models and data with automatic versioning and lineage tracking
Supports any tool, framework or language including Python, R, Rust, Java, C++ or BASH
Scales to petabytes of information with highly parallel processing with no extra code, and incremental processing of only new or changed data
Powerful deduplication of data keeps storage costs low regardless of the number or size of files
Runs on any cloud or on-prem environment using standard object stores like S3, Azure Blob Storage, and Google Cloud Storage
Database driven platforms simply don’t provide the right backend to manage the massive amounts of unstructured data your machine learning teams are struggling with right now. To truly unlock the power of your data you need an AI/ML platform that treats unstructured data as a first-class citizen, not an afterthought.