Data Ninjas Inc.
Data Ninjas is a US based consulting organization focused solely on data through the entire lifecycle. Data Ninjas have consistently delivered sustainable value to its customers through innovation
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Use Cases
- Data Protection & Compliance
- Enterprise Data Governance
- Data Lineage
- Data Quality
- Master Data Management
- Metadata Management
- Reference Data Management
Keywords
- ML
- AI
- Governance
- Modeling
- AI/ML
Overview
Data Ninjas is a US based consulting organization focused solely on data through the entire lifecycle. Data Ninjas have consistently delivered sustainable value to its customers through innovation, transparency, technical and thought leadership and hard work.
Solutions Offered:
- Data Governance
- Data Science & Big Data
- AI & ML
- Low Code Applications
- DW & BI
- Cloud Apps and Analytics
- CCPA & GDPR Compliance
Data Governance Solutions:
- Data Governance Program Design and Build
- Operating Process Design
- Compliance and Risk Program build and integration – Product – DCNA
- Sample Customers: 7-11, Verizon
Data Governance Platforms & Tools
Experience:
- Collibra & Connectors (Bronze Partner)
- Mulesoft/Talend and other Data Connectors
- Metadata management tools from Hadoop ecosystem
ML Ninja is a solution to govern and manage the large number of assets that are produced during the lifecycle of an AI/ML process.
Creating new asset types and relationships as well as utilizing pre-existing ones in Collibra allows an organization to use all the power of Collibra to effectively govern their machine learning models and the associated data assets.
Most organizations that are investing in building a data science practice produce a large number of assets that aren’t managed or governed in the same way as regular data assets (databases, data lakes etc). Extending Collibra’s operational model, MLNinja has created new assets, relationships and re-used existing ones to provide a complete solution to govern AI/ML assets, improving overall efficiency and reducing wasted hours finding and understanding past work.
A brief consulting session will showcase the solution and how it will work. That will be followed by instructions on how to create the new models, asset types and relationships and how to make them work in each individual environment.
You should be up in running in a few days in most cases, with additional help available if needed.
Data Ninjas - your trusted data partners
Selected Listings
MLNinja creates an operation model for typical machine learning lifecycles. Allowing users to govern, maintain and build lineage across all their ML assets and integrating with Collibra’s user management and...
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