Dataiku, a front-runner in AI, machine learning and data science, is empowering leading insurance organizations by enhancing numerous processes such as customer retention, enhanced customer service, optimized claims forecasting, underwriting and fraud detection. The effective implementation of this platform across departments leads to lower risk, higher revenue, reduced costs, and most critically, happier customers. From augmenting claims modeling via Generalized Linear Models, to improving accuracy in financial forecasting through machine learning, Dataiku is staking its claim in the future of efficient and lean insurance operations.
- Insurance Claims Modeling: It uses Generalized Linear Models for precise claims prediction within a streamlined, flexible and stringently governed data science environment. This propels data management efficiency and boosts forecast accuracy.
- Financial Forecasting: Transforms conventional forecasting procedures by improving data process streamline and adopting machine learning methods to greatly enhance forecasting precision.
- Process Mining: Creates a visual map of processes from readily available logs, facilitating rapid inspection of specific processes, tracking outliers, and applying robust statistical techniques for operational enhancements and corrective measures.
- Text Extraction and Optical Character Recognition (OCR): Possesses a unique plugin that performs OCR using the Tesseract engine. This aids in handling unstructured data more effectively, thereby improving document management and overall efficiency.
- Unique Plugins: Features exclusive plugins such as Generalized Linear Models and Neo4j for training, scoring, deploying models and reading/writing from/to the Neo4j graph platform to effectively manage and analyze graph data structures.
Dataiku, a front-runner in AI, machine learning and data science, is empowering leading insurance organizations by enhancing numerous processes such as customer retention, enhanced customer service, optimized claims forecasting, underwriting and fraud detection. The effective implementation of this platform across departments leads to lower risk, higher revenue, reduced costs, and most critically, happier customers. From augmenting claims modeling via Generalized Linear Models, to improving accuracy in financial forecasting through machine learning, Dataiku is staking its claim in the future of efficient and lean insurance operations.
- Insurance Claims Modeling: It uses Generalized Linear Models for precise claims prediction within a streamlined, flexible and stringently governed data science environment. This propels data management efficiency and boosts forecast accuracy.
- Financial Forecasting: Transforms conventional forecasting procedures by improving data process streamline and adopting machine learning methods to greatly enhance forecasting precision.
- Process Mining: Creates a visual map of processes from readily available logs, facilitating rapid inspection of specific processes, tracking outliers, and applying robust statistical techniques for operational enhancements and corrective measures.
- Text Extraction and Optical Character Recognition (OCR): Possesses a unique plugin that performs OCR using the Tesseract engine. This aids in handling unstructured data more effectively, thereby improving document management and overall efficiency.
- Unique Plugins: Features exclusive plugins such as Generalized Linear Models and Neo4j for training, scoring, deploying models and reading/writing from/to the Neo4j graph platform to effectively manage and analyze graph data structures.