Pros
- Easy integration
- Can deploy models without any hassle.
- Fewer dependencies required compared than tensorboardX (TensorBoard)
- Ability To add custom metrics within your pipeline e.g Custom Losses , Accuracy Metrics.etc
Cons
- None so far
Superwise Review
3
·
Very good
Rating
4.3
Artificial Intelligence, AI and Machine Learning Operationalization
Description of Superwise
As more businesses rely on AI models to boost their impact and their bottom-line, the need for managing, monitoring and optimizing the real-life behaviour of these models grows.
Superwise.ai is the company that monitors and assures the health of AI models in production. Already used by top-tier organizations, Superwise.ai monitors millions of predictions daily to eliminate the risks derived by these models’ black-box nature: bad decisions, unwanted bias, and compliance issues. Their AI assurance solution acts as the one source of truth for all the stakeholders, and empowers data science and operational teams with the right insights to scale their use of AI by becoming more independent, agile, and gain confidence in their models’ operations.
Implemented use cases include Customer Lifetime Value (CLV) predictions, fraud detection, lead scoring, underwriting, credit risk, and more.
Recognized for its innovative technology and approach, Gartner recently named superwise as a 2020 Cool Vendor in Enterprise AI Governance.
Pros
- It is really user friendly and you can build really good models in a very short period of time
Cons
- Sometimes the documentation is a little unclear and needs better organization
Pros
- Intuitive to learn for beginners yet provides all necessary tools required once one gets used ot its structure, methods + functions; very customisable via Excel files also..not perfect mind :D But good overall!!
Cons
- Some difficulties
