Generative AI
Natural Language For Complex Networks
RADCOM’s generative AI suite transforms telecom operators’ interfaces with quick insights into telco-focused near real-time data. Powered by large language models, RADCOM NetTalk™ enables operators to leverage the extensive data insights generated by RADCOM ACE, utilizing trusted data from their network.
It provides observations in natural language, accompanied by prompts that reference anonymized data. It enables anyone, from executives to engineers, to understand the issues and challenges driving network operations. Deployable in the cloud or as a hybrid model, operators can easily access business and network insights for data-driven decisions and troubleshoot networks more rapidly and efficiently.
From Data to Insights to Business Outcomes
Deploy on public, private,
or hybrid networks
Reduce time to insight
for large data volumes
Enhance customer
experience
Empower
data-driven decisions
Visualize
end-to-end network
Protect data privacy and confidentiality
RADCOM was among the first service assurance vendors to bring the power of generative AI (GenAI) to address the challenge of rapidly gaining insights from data collection on the network. RADCOM overcame key challenges in adopting GenAI, including ensuring the accuracy of information, enabling large language models to comprehend telecom terminology, and addressing the issue of imbalanced datasets, which can lead to GenAI bias.
RADCOM Co-Pilots Include:
RADCOM Proactive Network Optimizer: Correlates and analyzes network data from end-to-end (RAN to core) to provide trusted datasets in the operator’s BI systems. Enabled by RADCOM’s extensive telco-domain knowledge, RADCOM Proactive Network Optimizer narrates the story in natural language to engineers, creating and explaining graphs and charts, delivering insights into root causes of network issues, and determining trends and recurrences. Results are visualized and integrated by RADCOM in both proprietary and leading industry BI platforms.
Customer Satisfaction Predictor:
RADCOM’s Customer Satisfaction Predictor analyzes subscribers’ network experience KPIs to correlate with all available responses to surveys, call summaries, and even a churn list model. RADCOM’s Customer Satisfaction Predictor operates across 100% of the subscriber base and is unique in validating the model using actual subscriber satisfaction and loyalty data.
Assurance Co-pilot:
RADCOM Assurance Co-pilot provides a deeper understanding of problems and issues on 5G networks, presenting data to engineers to determine if a failure is related to a configuration or setup that doesn’t adhere to industry-level compliance standards. The engineers can extract the required insights from highly voluminous standard sources quickly and efficiently, such as 3GPP, ETSI specifications, the operators’ own documentation, or RADCOM’s product operation manuals.
