Overcome complexity
The potential applications of Artificial Intelligence are infinite, extensive, and extremely varied.
There is no single solution that fits every scenario.
Sapiens Analytics steps in to navigate this complexity.
Our approach is simple and effective.
We do not rely on pre-configured tools or platforms.
We go straight to the heart of the problem, structuring algorithmic workflows using multiple models, and progressively optimising and refining both the workflow and the models to solve the problem with increasing accuracy.
SAPIENS Big Data Hub
SAPIENS BDH is the technological platform that allows you to connect your data sources and external data sources in a single nosql semantic repository, the basis for AI-driven analysis algorithms.
SAPIENS BDH allows you to take advantage of Artificial Intelligence processing systems by connecting your data sources through special connectors.
The connector will take care of pre-processing, normalising, reorganising and materialising the data useful for the processing processes in the Big Data Hub platform, without any modification to your original data systems, which will therefore remain unchanged and will continue to function within the operational processes. already in place.
The result will be a digital twin of your company's information system, always updated in real time and specifically optimised for Big Data processing.
In cloud or On-premises
SAPIENS Big Data Hub will be available to you as a cloud product, for less structured companies, or offered within a more sophisticated on-premises installation and maintenance service.
In any case, SAPIENS Big Data Hub will be entirely managed by Sapiens Analytics, which will take care of all the activities useful to keep it efficient and make it scalable in parallel with any variation in the amount of data produced.
Additional data sources
The specific SAPIENS Big Data Hub Platform created exclusively for you, may also collect data from web crawling, harvesting or other automatic or semi-supervised data collection techniques.
AI at work
We have developed a clear methodology,
addressing complex problems and achieving clear results in the shortest possible time.
Data Science Acceleration
A taylor-made consulting service with the aim of facilitating the integration process between your data sources and the Big Data Hub management system, in three phases:
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Verification and analysis of the company data system, both in terms of internal procedures and data collected / generated by the products / services that the company offers;
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Possible proposal of best practices to be adopted or further implementations that may be useful to produce a more effective data lake , possibly also integrating third-party sources, both paid and open data;
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Using off-the-shelf connectors and possible creation of custom connectors to complete the process.
Analytics Framework
Development of complex algorithms for:
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Interpretation of existing data: algorithms capable of filling in missing data or computing inferable information—that is, facts not directly measured but observable through interpretation;
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Decision optimisation: algorithms capable of identifying actions to improve specific parameters or outputs of the processes under observation, while potentially estimating the impact on other parameters targeted for monitoring or constraint;
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Prediction of future behaviour: algorithms that, based on observations and any complementary data from other sources, can forecast future parameter behaviour and highlight potential critical issues before they occur.
Versatile Customer Experience
3 Management Interfaces
All available algorithms are accessed via three types of management interfaces:
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An interface for managing algorithm parameters and the semi-supervised learning process, allowing your domain experts to guide the neural network training process, control behavior, and indirectly embed your knowledge into the system;
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An interactive analysis interface that enables the manual execution of interpretation, optimization, and prediction algorithms, the examination of results, and navigation through the Big Data hosted on the platform;
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A machine-to-machine API interface used to integrate the Analytics platform's Artificial Intelligence capabilities into your own products, thereby enabling advanced features and expanding your commercial offering. This specific mode of use drives the actual value enhancement of your products and allows you to derive the greatest benefit from Sapiens Analytics services.
Product Innovation
Integrate AI into your products and services to make more accurate predictions, automate decisions and processes, and optimize employee time.
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Assessment and analysis of your product features.
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Collaborative design of new AI features and the technical roadmap for their development.
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Implementation of new products incorporating these AI capabilities.
We support both companies that already have an in-house ICT team capable of handling development and those requiring a comprehensive solution that covers all digital components of the product.