Serdica AI Development Studio

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Overview

Serdica AI Development Studio is designed especially for insurers, providing methodologies and features, tailored to the peculiarities of insurance data and business needs. This ensures focused and therefore faster development, training, and adjustment of different types of models which fosters achieving maximum performance. This environment includes a set of easy to adjust pre-trained models and training pipelines, on which every insurer can build their own models stepping on their own data.

Serdica AI Development Studio offers the opportunity to monitor both data preparation and training process step-by-step and to fine-tune only the necessary settings without starting from scratch each time the insurer needs a new model.

Serdica AI Development Studio is specifically crafted for developing, training, and testing the following three types of models:

  • Assistant - producing models for NLU and for Translation, which allow communication with customers, agents, and employees of the insurance company regarding all insurance activities in natural language, in a multilingual mode.
  • Analytics - producing models for Micro-segmentation of the customer base, Risk assessment, and Personalized product offerings.
  • Vision - producing models for Recognizing and assessing car damages and for Personal and car documents recognition and data retrieval.

Key Features

A specialized tool for development and training AI models, intended specifically for the insurance domain.

User-friendly functionality that supports a full analytic workflow (from data preparation to visual exploration and insight generation) with an emphasis on self-service.

A set of easy to adjust pre-trained models and training pipelines.

Key Benefits

Manageability: Supports usage tracking, management of how information is shared, and by whom.

Cloud compatibility: Support for building, deploying, and managing analytics and analytic applications in the cloud, working with data that can be in the cloud or on-premises.

Data source connectivity: Capability to connect to and ingest structured data contained in various types of storage platforms, on-premises or in the cloud.

Data visualization: Support for interactive dashboards.

Reporting: Generation and distribution of in-depth reports to consumers on a scheduled basis.