Turn on
the power of AI
Allowing your Data Scientist to focus on business data science.
AnyML removes the skills barrier to harnessing the analytical and predictive capabilities of ML and AI. Budgets, resources, and other bottlenecks no longer stand in the way of your innovation and growth
The problem
Artificial Intelligence (AI) and Machine Learning (ML) initiatives are complex and costly, so are available only to larger organizations with large budgets and dedicated data scientists.
These initiatives required highly trained Data Scientists, access to robust hardware, custom software development, significant budgets and take a significant amount of time.
Solution
AnyML is a fully automated machine learning application with a simple user interface enabling anyone with any level of analytical or technical skills to become a data scientist.
It allows anyone to become a data scientist and it allows data scientist to be more productive while enabling the models to be quickly put into production and not collecting dust on the shelf.
Unique Key Features:
Data Preparation
- Automated Data Cleaning (saving time and improving accuracy)
- Optimized pipeline (optimized set of transformation for a data set)
- Automated feature engineering (helps to build better model)
Model Training and Validation
- Proprietary Hyperparameter optimization algorithms (giving more powerful model)
- Unique AnyML Score that combines different performance metrics into single, easy to understand value
Model Interpretation
- Feature optimization (model explanation, helps to come up with Next Best Action)
- Advanced Model Exploration of Hypothetical Customer Scenarios in Scenario Builder (helps users in decision making)
Model Deployment & Maintenance
- Automated REST API creation (allows users to use model right away)
- Container architecture allows us to move the processing to the data and enables us to run anywhere (AWS, Azure, Google or your own Data Center)
What makes us better:
Better Data:
- Advanced database connections
- Exploratory data analysis
- Interactive Data Preparation
- Data cleaning (error detection, smart data splitting, data augmentation, detection of irrelevant observations)
- Automated feature engineering
Better models:
- Proprietary Hyperparameter optimization algorithms
- Deep Learning
- Chaining of models
- Incremental learning
- Unsupervised learning
Model interpretation:
- Simple Model exploration
- Model interpretation and explanation
- ‘What if’ analysis
- Detecting irrelevant predictions
- Model Comparison through Scenario Builder
- Integrated ML improving the tool as you use it
Model maintenance/monitoring:
- Advanced Model stability and performance Monitoring
- Automated Data drift detection and resolution
- Batch prediction mode
- PMML support
- A/B model testing
What makes us better:
Model interpretation:
- Simple Model exploration
- Model interpretation and explanation
- ‘What if’ analysis
- Detecting irrelevant predictions
- Model Comparison through Scenario Builder
- Integrated ML improving the tool as you use it
What makes us better:
Model maintenance/monitoring:
- Advanced Model stability and performance Monitoring
- Automated Data drift detection and resolution
- Batch prediction mode
- PMML support
- A/B model testing
