Product Integrations
Mondeca Autotag add-on for SharePoint
Auto-tagging made easy via SharePoint Automate feature. Select a document and simply requests for tags using Mondeca Autotag!
Mondeca KB add-on for Word
Connect to your KB when using Word, find useful information in your knowledge base to perfect your reports!
Mondeca KB add-on for Drupal
Integrates with the KB API to display term definitions into your node contents. When a KB tag is inserted into a text in a format supporting the tag, it is displayed as an infobox using core javascript libraries.
Built in Machine Learning Libraries
Leverage CAM’s built-in open-source ML libraries when web-based ML APIs are not ideal for your use case.
- HUGGING FACE
- TENSORFLOW
- PYTORCH
- SCIKIT-LEARN
CAM Connectors
- Fluree Core
- Microsoft SharePoint Online (CAM Autotag SPO add-in, CAM Document Repository connector)
- Clarifai
- Googlespeech
- OpenText Content Server
- SolR
- ElasticSearch
ITM Connectors
- Fluree Core
- Microsoft SharePoint Online Term Store
- RDF Stores
- FTP, SFTP
- MongoDB
- RDF store
- Shared file folder
- OpenAI (ChatGPT)
- AWS SageMaker
- AWS S3
- Git
Key Benefits
Cost Efficiency
Keep control over your infrastructure costs without being tied to a subscription model.
Customization and Control
Fine-tune algorithms, parameters, and preprocessing steps to better suit your specific use case
Scalability
Scale your ML models and infrastructure according to your organization’s needs. You’re not constrained by API rate limits or pricing tiers, which can be limiting in high-demand situations.
Long-Term Availability
Keep control over the stability and availability of the tools you’re using.
Regulatory Compliance
Using local ML libraries provides better compliance control, as data doesn’t leave your infrastructure.
Privacy and Data Security
Process your data locally, reducing the risk of data exposure.
Performance and Latency
Reach faster processing times compared to sending data over the internet to an external API.
Integration and Compatibility
Built-in libraries are seamlessly integrated into CAM workflows, behind one single API.
Batch Processing and Large Datasets
Be more efficient and cost-effective for tasks that involve processing large datasets or performing batch operations.
Learning and Skill Development
Encourage your developers and data scientists to learn more about the underlying algorithms and techniques for a deeper understanding of ML concepts and better problem-solving skills.