Request Your Free White Paper Now:

"Data foundation for autonomous networks: Nokia Data Suite"

Nokia's white paper highlights how limited access to clean, quality data hinders autonomous networks. It discusses data mesh architecture, MLOps platforms, and Nokia Data Suite's role in turning raw network data into AI-ready products for faster autonomy. Discover the data foundation for network autonomy in this paper.

Autonomous networks face a key challenge: poor data quality and accessibility. Data scientists spend 70% of their time preparing data, while fragmented systems prevent CSPs from scaling AI. Without clean data, AI models produce unreliable results, slowing progress.

This white paper shows how a strong data foundation accelerates autonomous networks. Learn how modern data architecture, pre-built data products, and AI studios turn raw data into insights. Topics include:

· Data mesh for agility and real-time processing
· Pre-built data products cutting AI development time by 70%
· MLOps platforms automating AI lifecycle management

Read the full white paper for solutions.

Offered Free by: Nokia
See All Resources from: Nokia