35% of customers use network CX to make purchase decisions. We aim to reduce customer churn and reduce 40% of offline users by resets to solve sync problems.
Catalyst C23.0.568 - DTW 2023 Event Presentation
Intelligent customer experience profiles pave way for ‘perfect’ network operations and lower churn
Brochure - C23.0.568
C23.0.568 - Commercial Video
C23.0.568 -Technical
USE CASE 3 - Digital Twin - DTW Catalyst NTT Data 2023
USE CASE 1 - CEI Predictions - DTW Catalyst Nokia 2023 - C23.0.568
USE CASE 2 - Persona Model based Automated Problem Management & Intent Based Services - DTW Catalyst Optare 2023 -
Email the members of the Catalyst team to request more details.
This project uses AI and Multi-Agent to automate transport network fault management, ensuring full alerts, faster fixes, and efficient networks.
Intent Based AI-driven Multi-Domain Fault Correlation with Autonomous Resolution
Human-AI co-existence to rapidly create and deploy digital services across satellite and terrestrial networks