Nokia Data Suite

Telco data products to accelerate your AI innovation

Autonomous networks thrive on intelligent data. Yet, fragmented, low-quality data is holding CSPs back. 70-80% of data scientists’ time is spent on data gathering, extraction, and preparation rather than on developing innovative AI/ML models *

*Analysys Mason, 2023

What is Nokia Data Suite and its data products?

Nokia Data Suite is a comprehensive catalog of ready-to-use, proven telco data products specifically designed to expedite business insights and enable AI at scale for Autonomous Networks.

Utilizing a decentralized data mesh architecture, these standardized data products significantly reduce the time required for data preparation, allowing the development of AI or Generative AI (GenAI) telco use cases with ease. By leveraging Nokia Data Suite’s data products, the Machine Learning Operations (MLOps) lifecycle can be 70% faster.

The data products are built by ingesting and automatically correlating data from multiple data sources across multi-vendor, multi-domain networks, leading up to potential savings of millions in data management. Nokia Data Suite also offers essential components for explainable AI, including end-to-end data observability, robust data governance, and security mechanisms throughout the data product lifecycle, ensuring data accessibility, reliability, and security.

As part of Nokia Autonomous Networks applications, Nokia Data Suite is powered by the Nokia Autonomous Networks Fabric, providing seamless data integration, automation, and security across all network domains, including core, mobile, and transport.

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What is Nokia Data Suite?
Accelerate your AI and GenAI Initiatives
Nokia Data Suite - Whitepaper
Benefits of Nokia Data Suite
Features of Nokia Data Suite
Request a demo
Data products and data mesh
Why Nokia AI and Analytics?
Related solutions and products
Learn more

Accelerate your AI and GenAI initiatives

Nokia Data Suite provides an intuitive drag-and-drop interface, including pre-packaged AI models, for CSP employees to build BI, AI, or GenAI use cases. Designed to be cloud-agnostic, Data Suite seamlessly integrates with any existing ecosystems and environments. Together with any hyperscaler toolchains, Data Suite’s data products provide CSPs with a powerful, scalable solution to build AI systems.

Nokia Data Suite can also be enhanced with GenAI-enabled digital assistants, providing data as a self-service. This democratizes knowledge retrieval and accelerates decision-making by allowing CSP employees to interact with databases using natural language queries. Data Suite lets CSP teams collaborate efficiently, reduce operational overhead, and accelerate the path from model training to real-world impact.

Nokia Data Suite - Whitepaper

Report

Autonomous Networks - in search of best practice

Brochure

Road to the AI/ML innovation with Nokia Data Suite

White paper

Data foundation for Autonomous Networks

Benefits of Nokia Data Suite

Effortless data ingestion

Nokia Data Suite simplifies data ingestion by utilizing adaptors that extract real-time telco data from multi-vendor, multi-domain networks. This enables democratized yet secure access to data, handling up to 250,000 cells and 270,000 reports per second*, ensuring efficient data processing.
*Tier 1 NAM customer

Optimized total cost of ownership

By aggregating data from various network elements into a single, unified data layer, you can eliminate the need for physical data centralization, micromanaging schemas, tracking diverse data formats, and manual correlation. This significantly reduces the costs associated with maintaining multiple mediation platforms, potentially saving millions*.
*Tier 1 NAM customer

Accelerate AI value realization

With Data Suite’s re-usable data products, the data preparation process in the AI/ML lifecycle can be completed in 3-4 weeks – around 70% faster time to value than in a typical project (4 months for a typical project).

Prevent GIGO (Garbage in, garbage out)

High-quality data products, together with data observability tools, ensure your data stays reliable and supports explainable AI. Proven applicability in telco AI/ML use case development ensures that AI/ML models are trained on relevant, comprehensive datasets.

Increased compliance and security

With robust data governance tools, including data catalog, data lineage, data validity engines, you can ensure the data stays accessible, reliable and secure.

Features of Nokia Data Suite:

Multi-vendor, multi-domain data correlation

Nokia Data Suite provides adaptors for easy integration and extraction from multi-vendor, multi-domain data sources at scale.

Data mesh architecture and telco data products

Decentralized data management, providing vendor-agnostic 3GPP standardized data schemas with business descriptions packaged as data products for any CSP employee to use.

Tools for data observability and data governance

Nokia Data Suite provides tools to support data observability and governance throughout the data product’s lifecycle, including systems such as data catalog, data lineage, policy controls, and data validity engines.

Intuitive drag-and-drop interface

Nokia Data Suite has an intuitive drag-and-drop interface, providing easy utilization of data and enabling true data democratization.

Cloud-native, seamless integration with hyperscale tools

Designed to be cloud-agnostic, Data Suite seamlessly integrates with any existing ecosystems and environments, enabling individual domains to build BI, AI or Agentic AI systems with their favourite hyperscaler tools.

Telco-specific proven data and ML library

The data layer is decoupled from Nokia’s award-winning telco AI and analytics use cases and transformed into reusable data products, including pre-packaged AI models.

Openness

All data products can be easily enhanced, modified, augmented, and repackaged according to the use case with a no-code UI with just a few clicks. They are also always compatible with changing vendor landscapes and releases.

Part of Nokia’s Autonomous Networks stack

Nokia Data Suite is part of Nokia Autonomous Networks applications, and powered by the Nokia Autonomous Networks Fabric, providing seamless data integration, automation, and security across all network domains, including core, mobile, and transport.

Want to learn more?

The Data Suite demo shows how you can access your network’s data and start building AI use cases with ease. The categories of the data products within the Data Suite provide a high-quality reusable data foundation to train, test, and deploy key AIOps use cases and accelerate the journey to Autonomous Networks.

Request for a demo

Data products and data mesh explained

Traditional big data systems entail moving raw data from multiple sources into a large, monolithic data lake or data warehouse.

Data mesh fundamentally differs from this approach - instead of consolidating data into a monolith, it relies on data federation and data abstraction to virtually combine data, called data products, from dispersed sources for increased agility.

Data products and the concept of a "data mesh" are closely related in the context of modern data management and data-driven organizations. Both concepts are centered around the idea of decentralization and scalability in managing and utilizing data. Data products are specific implementations within the holistic data mesh approach, representing individual data offerings created by domain-specific data teams or product teams.

Data mesh treats data as a product, which aligns with the concept of data products. Data products are designed to serve specific user or business needs, providing data in a consumable and meaningful way. Both concepts aim to democratize data within organizations, making it accessible to a broader range of users and teams. Data products are a means of achieving this democratization by providing valuable data in a self-service manner.

MLOps explained:

MLOps streamlines the process of taking machine learning models to production and maintaining and monitoring them.

Benefits of MLOps

Efficiency: faster model development, deployment, and life-cycle management
Scalability: Manage thousands of models and monitor for CI/CD
Reproducibility: Reproduce models and results for audit or diagnostics
Risk reduction: Ensures greater compliance with industry/government policies

The game is afoot - a Nokia series

Three experts, one mission: protect the network at all costs.

Watch all episodes now

Why Nokia AI and Analytics?

Nokia AI and Analytics software are proven to help CSPs boost productivity, enhance telecom customer satisfaction and reputation, and grow new revenues.

Over 150 CSPs globally rely on Nokia Analytics solutions to unlock the intelligence in their 5G, 4G and fixed broadband networks. They report significant business benefits helping CSPs boost productivity, enhance customer satisfaction & and reputation, and grow new revenues.

Read more about Nokia AI and Analytics solutions here.