Nokia today introduced its AVA Data Suite, designed to run on Google Cloud, to help communication service providers (CSPs) standardize data and facilitate the development of AI/ML software applications.
Nokia AVA Data Suite provides CSPs and data scientists standardized, pre-correlated data products packages across 4G, 5G, and fixed domains to accelerate the development of AI solutions for enhanced network performance and sustainability, improved subscriber experience, and new revenue streams.
Nokia AVA Data Suite, derived from Nokia’s vast experience in building hundreds of network and subscriber experience use cases, seamlessly integrates with Google Cloud’s BigQuery and Vertex AI to create powerful AI/ML use cases that drive innovation in the telecommunications industry.
BigQuery's scalable and serverless data warehouse architecture can serve as both the data source or the data storage for Nokia AVA Data Suite, ensuring data readiness and handling of large data sets for AI/ML applications.
Vertex AI provides the infrastructure needed for building and training AI/ML models. Nokia AVA Data Suite feeds correlated data to Vertex AI to create and fine-tune machine learning models optimized for specific use cases, such as network optimization or predictive maintenance.
Nokia's rigorous testing has demonstrated that the time required for data standardization in AI/ML applications can be dramatically slashed to a mere three to four weeks, a remarkable contrast to the conventional methods that typically demand an arduous four-month timeline.
AVA Data Suite works in conjunction with Nokia’s AVA Open Analytics, an automation framework that helps CSPs move away from monolithic, centralized data “lakes” to a hybrid data mesh architecture that abstracts technical complexity and allows data scientists to focus instead on the needs of their AI/ML use cases.