The Intelligent Data Lake (IPS®IDL) is a tool designed to collect, store, and deliver certain data for further use in analytics and reporting. It ensures data quality and consistency, allowing for immediate decision-making.
Intelligent Data Lake offers a robust and versatile infrastructure that can benefit integration and analytical applications. IDL enables the development of accurate and reliable ML models by providing scalable storage for different data types, enabling data integration, and ensuring high data quality through effective preprocessing and governance. Additionally, strong security measures and cost-efficient storage solutions make IDL a necessary asset for organizations aiming to integrate complex systems into one centralized portfolio used for strategic decisions.
Scalability and performance
IDL efficiently manages and processes large amounts of data, which is essential for training complex ML models. Intelligent layering and integration also achieve optimal resource allocation, minimizing the need for computational and storage resources.
Cost efficiency
Affordable storage solutions enhance cost efficiency, allowing organizations to maintain the extensive datasets required for machine learning economically. Additionally, built-in automation and effective data management practices significantly reduce overall operational expenditures, further improving financial viability.
Security and Compliance
Security and compliance are achieved through robust measures that safeguard sensitive information and ensure adherence to regulatory standards. Moreover, comprehensive security protocols significantly reduce the risk of data breaches and unauthorized access, providing an extra layer of protection for valuable data.
Advanced Analytics
Analytics are supported by results collected within maintenance procews, which utilizes integrated, high-quality data to enhance decision-making processes. Furthermore, effective data integration and preprocessing techniques play a crucial role in mitigating overfitting, resulting in more accurate and reliable models.
Data integration
Comprehensive data integration merges multiple data sources into an unified repository, offering a holistic view that improves the accuracy and reliability of machine learning models. This diverse integration of data sources results in richer inputs, which contribute to developing more robust and generalizable models.
IDL can be integrated into existing data lakes already in production by embedding the data lake functions as part of IPS®SYSTEMS (Asset Performance Management, Enterprise Asset Management…) or as a separate IDL, typically for cloud multi-tenant systems.
It delivers an out-of-the-box extensive library of existing data models and parsers with transformation to standardize and normalize analytical models.
All models are configurable and extensible without hard coding or software development. Intelligent Data Lake allows users to prepare for fast racing in the future and manage data foundation with the lowest costs.
Sophisticated normalized analytical models are already embedded in the IDL solution. The system operates on a secured network and provides multisource input for analytics with built-in ETL and normalized data models. Data in the data lake is automatically stored in different storage tiers based on its properties and source models with intelligent parsers. IDL automatically adds semantics to the collected data.
Intelligent Data Lake offers a modern and comprehensive web API for accessible data import and export.
