Nokia Data Suite

Data products & AI studio to accelerate your AI innovation

CSPs generate a vast amount of heterogeneous data daily;gathering and preparing it is a time-consuming and challenging task for data scientists. 70-80% of data scientist’s 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 data products?

Nokia Data Suite is a comprehensive catalogue of readily available and proven data products specifically designed to expedite business insights and enable AI at scale for Autonomous Networks.

These standardized data models eliminate complexity and reduce the time required for data preparation, facilitating data scientists to accelerate the development of new AI or Generative AI (GenAI) applications. By leveraging Data Suite’s data products, the Machine Learning Operations (MLOps) lifecycle can be 70% faster.

The data products are built by ingesting, and correlating data from multiple data sources across multi-vendor, multi-domain networks. This is made possible through our advanced multi-vendor data intelligence engines, an extensive library of automated data transformation services, and cutting-edge data mesh capabilities.

Nokia Data Suite also provides data governance and security mechanisms across the data product lifecycle to validate, assure, and maintain accurate data availability, synchronization, reliability, and relevance.

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Accelerate your AI and GenAI Initiatives
Data Suite benefits
Features of Nokia Data Suite
Request a demo
Data Products and Data Mesh
Why Nokia AI and Analytics?
Related solutions and products
Learn more

Start your telco AI journey here

Accelerate your AI and GenAI Initiatives

Nokia Data Suite is equipped with a telco-centric self-service AI studio, providing an MLOps and LLMOps framework, including pre-packaged AI models for CSPs to build their own AI and GenAI use cases with ease. Together with the AI studio, Data Suite’s data products provide CSPs with a powerful, scalable solution to build AI use cases. Designed to be cloud-agnostic, Data Suite seamlessly integrates with any existing ecosystems and environments.

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 let’s CSPs teams collaborate efficiently, reduce operational overhead, and accelerate the path from model training to real-world impact.

Blog

From data lake to data mesh: An innovative architecture every telco should know about

Brochure

Road to the AI/ML innovation with Nokia Data Suite

White paper

Data Mesh frameworks deliver essential telco insights in the 5G era

Benefits of Data Suite

Simplify data ingestion

Adaptors extract multi-vendor multi-domain real-time telco data from network onto a data mesh architecture for democratized yet secure access.

Optimize Total Cost of Ownership

Eliminate the cost of managing and maintaining multiple event mediation platforms by aggregating all data from multi-vendor multi-domain network elements through a unified data layer.

Accelerate time to value from AI/ML

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 source and complex derived/correlated data products with proven applicability in telco AI/ML use case development ensures that AI/ML models are trained on relevant comprehensive datasets.

Features of Nokia Data Suite:

Data Mesh architecture

Data federation and data abstraction helps to virtually combine data for increased agility

Adaptors for easy integration and extraction from multi-vendor multi-domain data sources

MLOps and LLMOps AI studio

Enables individual domains to build AI/ML use cases with underlying traditional AI and GenAI libraries to address key business objectives

Proven Data Library

Data layer is decoupled from 100’s of telco analytics use cases developed by Nokia and transformed into reusable data products

Data quality, security and standardization

Transformation of data parameters generated by multivendor networks into a proven standard secure information model

Domain data correlation

Complex correlation across high volume real time and non real time data

Addresses synchronization across multiple real time data streams

Want to learn more?

The Data Suite demo demonstrates the specific problems data scientists face and how you can help them build their own AI use cases leveraging Nokia's Data Suite. 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 Operations.

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.