Nokia has introduced the AVA Data Suite, a tool aimed at enhancing the development of AI and machine learning applications for telecommunications operators. Hosted on Google Cloud, the suite aims to standardize data for communication service providers (CSPs) and facilitate the creation of these apps. It will offer CSPs standardized data product packages for 4G, 5G, and fixed domains, expediting the development of AI tools, improving network performance, and generating new revenue streams. Currently, the time required for data standardization in AI/ML applications can take up to four months, but Nokia hopes to reduce that timeline to three to four weeks with the AVA Data Suite.
The AVA Data Suite integrates with Google Cloud’s BigQuery and Vertex AI, allowing the creation of powerful use cases to drive innovation in the industry. Additionally, it works with AVA Open Analytics, enabling CSPs to transition from centralized data lakes to a hybrid data mesh architecture. According to Adaora Okeleke, Principal Analyst at Analysys Mason, CSPs have faced challenges such as high costs, long lead times, and lack of agility when implementing AI/ML projects due to difficulties in accessing high-quality data sets. The AVA Data Suite aims to address these challenges by providing curated network and IT datasets that form a common data layer, accelerating AI and analytics model development and operations.
Nokia joins a growing list of companies offering telco-specific AI tools. Netcracker recently unveiled its GenAI Telco Solution, claiming it can be used to address telco-focused challenges such as customer care and network operations. These advancements in AI and machine learning tools are expected to revolutionize the telecom industry, enhancing subscriber experience and driving business growth.