DGS Digital Lake: your AI data foundation

The AI-based platform designed to connect, centralize, and normalize fragmented information sources.

The Single Source of Truth unifying corporate Data to unlock AI potential

The main obstacle to operational efficiency is data ungovernabiliity within compartmentalized silos, in non-standardized formats, and from unverified sources. DGS Digital Lake addresses this architectural need by acting as the logical and physical aggregation infrastructure that converts the massive volume of raw data into a certified corporate asset.

The centralization, cleaning, and normalization of flows coming from physical plants (OT) and management applications (IT) constitute the fundamental prerequisite for any digital evolution. Only once this solid information foundation is structured can the organization successfully implement advanced technological strategies and enable the integration of Artificial Intelligence solutions. Developed by our Open Source Competence Center in synergy with international partners such as SMC and Liferay, the platform guarantees full continuity and resilience for enterprise businesses.

Industrial & Service market

The Data Foundation Platform for Industrial and market services

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Integrated core modules

An open and composable architecture where individual modules cooperate natively: field connectors feed the central validation layer, which distributes certified data both to the product lifecycle management platform and to the corporate applications ecosystem, eliminating any information discontinuity.

Device Connector Framework

The module dedicated to the real-time extraction and interconnection of flows coming from physical plants, industrial sensors, and geographically distributed machinery, overcoming the heterogeneity of factory protocols and integrating pre-existing legacy systems.

Company Trusted Data Layer

The heart of the system where the collected raw data is validated, normalized, and transformed into structured information. This layer ensures the distribution of certified data to corporate applications, meeting the security requirements of critical infrastructures.

Intelligent PLM Platform

The advanced module for product lifecycle management that enables the creation of the process Digital Twin. Integration with predictive algorithms allows for the end-to-end optimization of development, unifying technical and executive traceability.

Business Apps Ecosystem

The application layer that exposes processed data through dedicated interfaces for managers and operators, enabling real-time KPI visualization on any device and supporting the group's open innovation methodologies.

The strategic benefits of Enterprise Data Integration

The infrastructure accelerates the transition of operational staff from executive profiles to decision-making roles. By ensuring symmetrical and timely access to verified information, the platform optimizes on-field autonomy and workflow efficiency.

Evolution of operational skills

Structuring a coherent database significantly reduces throughput times and production lead times. Intelligent data insights extracted in real time make it possible to anticipate anomalies, eliminating unscheduled downtime.

Reduction of lead times & AI Data Foundation

End-to-end monitoring and visibility across the entire network of global manufacturing plants, accessible anywhere and from any type of device. The constant alignment of operational metrics ensures centralized performance governance.

Global visibility & continuous monitoring

Integrated control of plant variables allows for the accurate monitoring of energy consumption in plants and buildings. The platform correlates consumption with production batches to precisely quantify the product's ecological footprint.

Energy footprint measurement

Frequently Asked Questions

Technical insights, interoperability criteria, and implementation methods of the corporate framework for industrial data governance.
What is the fundamental prerequisite for connecting DGS Digital Lake to pre-existing corporate systems?
Compatibility with stratified IT-OT ecosystems and legacy machinery

The platform does not require the replacement of technologies currently in use. The proprietary Device Connector Framework module is specifically designed to overcome the heterogeneity of factory protocols, connecting both IT management software and traditional physical plants (even those lacking modern network interfaces), standardizing flows towards the central server.

Key Principles:
What is the difference between a common corporate database and the data foundation offered by the Digital Lake?
Structuring, logical validation, and scalability of industrial data

A differenza dei database relazionali tradizionali che operano per silos verticali, DGS Digital Lake centralizza e storicizza dati grezzi eterogenei (strutturati e non strutturati). Attraverso il Company Trusted Data Layer, i dati vengono puliti e certificati, creando l'AI Data Foundation: l'unica base conoscitiva idonea a supportare successivamente algoritmi predittivi e progetti di intelligenza artificiale.

How does the infrastructure guarantee the security and integrity of production data?
Cybersecurity safeguards native to the architecture and optional protection modules

The DGS Digital Lake infrastructure natively integrates prevention-first Cybersecurity criteria into its core architecture. The framework implements advanced protocols for flow encryption, robust authentication, and logical segregation of access privileges as standard, minimizing data exfiltration risks.

Centralize your organization's information asset and govern industrial AI Modernization

DGS supports your company in designing resilient and scalable data architectures, guaranteeing concrete and measurable business results.