Life Sciences & Genomics Data Management
Life Sciences & Genomics Data Management
Safely Feeding AI Data Pipelines for R&D
Visibility and Data Preparation
Life sciences organizations, such as pharmaceuticals and biotech labs, are dealing with an explosion of TIF image files from scientific instruments along with genomics sequencing data, clinical trials data and large diagnostic files such as medical images that are mined for research. These files often demand long-term retention for audits without clear deletion policies, complicating infrastructure planning.
The diversity and complexity of file types in life sciences holds enormous potential for AI yet also requires sophisticated preprocessing, annotation and metadata enrichment to be useful for AI/ML models. Complying with HIPAA, GDPR, FDA 21 CFR Part 11 and other data protection laws can limit data access and sharing and increase the need for audits and lineage tracking in AI. An unstructured data management strategy that balances data governance and security with precisely-curated data pipelines for research and analytics is a formidable strategy for competitive advantage.
The Komprise Data Experience makes it possible.
Use Cases
Pfizer's Cloud Tiering Strategy
Komprise cloud tiering helped Pfizer save 75% on storage with AWS, while keeping data instantly available for research and without changing how users and applications access their files.
Life Science Trends in Data Management
Read how Komprise is used to gain insight into unstructured data growth and usage across life sciences organizations, optimizing data storage and migrating to the cloud faster.
Key Benefits for Life Science Organizations
Classify Data for AI
The Komprise Global File Index is a metadatabase spanning all storage so you can search, copy and move precise data sets to AI tools. Use Komprise for PII and keyword search to find and tag the precise data sets researchers need and avoid large-scale data lake “dumps” that consume expensive storage. Scalable, automated metadata enrichment is required to prepare unstructured data for AI ingestion.
Right-Place Unstructured Data Across All File and Object Storage
Why are you keeping multiple copies of unchanging data on expensive primary storage? Within 15 minutes of deploying, Komprise Deep Analytics provides a Global File Index for a unified view of your data across all of your different storage environments. With Komprise you can:
- Gain understanding of data usage and trends to store cold data on cheaper storage.
- Right-size migrations by identifying duplicate or orphaned data for deletion.
- Conduct “what-if” policy scenarios to see the benefits before you deploy.
Move file and object data for data storage efficiency
Set your policies and Komprise Transparent Move Technology™ seamlessly migrates unstructured data without any changes to your user experience, applications, or hot data.
- Move data to lower-cost storage alternatives, without disruption
- Tier and archive data off primary storage to save and cut backup times
- Ensure users can access moved data just as before
Safely Automate AI Data Pipelines
Komprise Smart Data Workflows allows IT to automate the process of finding, copying, migrating, tagging and/ or tiering data to cloud data lakes and AI tools.
- Search for the precise data you need to make AI projects more affordable.
- Detect and mitigate sensitive data to prevent its leakage into AI.
- Ensure researchers and staff can directly access data at the destination.
- Delete copies of data sent to AI after the processing has completed to avoid storage waste.
Learn how Komprise can help you better manage your organization’s unstructured data, stay compliant, and save.
