Telcos are at an inflection point. With increasing pressures to meet rising customer expectations, reduce agent turnover, lower costs and increase revenues, CSPs are turning to the opportunities offered across the board, including traditional and generative AI.
While AI can be the catalyst for transformation and can help elevate customer services and optimize network automation, it is essential to understand how to scale AI models in a responsible and trusted way.
Find out why responsible AI is essential to transforming customer service in telecom—and how to meet service aspirations that may have seemed unthinkable before by combining the capabilities of traditional and generative AI.
Establish telecom network assurance and zero touch for end-to-end network operations.
Translate raw performance data into actionable insights with system-wide visibility for managing service performance.
Deploy and run apps with low latency, security and data privacy across the hybrid cloud.
Protect the networks to gain trust for enterprise critical workloads.
With MLOps and Trustworthy AI, automate data collection and model building, deployment, and governance to drive trust across the AI lifecycle.
Airtel and IBM work together to bring secured edge cloud services to Indian enterprises.
Revolutionizing 5G delivery by unleashing the power of network automation.
Vodafone and IBM join forces in exploration of quantum-safe cryptography and quantum computing technology.
Connect edge to enterprise with cloud-native networks for smarter decisions.
Secure networks, devices and systems with Quantum-safe security technology.
With the advancement of 5G, telecom operators must rethink how they use connectivity to create business value.
Read the Appledore report “AIOps in Telecom Operations” and learn how CSPs can accelerate the adoption of AI/ML.
Developing “quantum-safe” cryptography capabilities is crucial to maintaining data security and integrity for critical applications.