AI voicebots in telecom: balancing efficiency and customer trust
AI voicebots in telecom contact centers enhance efficiency but require a balance between automation and customer trust.
INSIGHTS & PRACTICE
VoIP
Practical guides to business-process automation: from the first assessment to measurable results.
7 publications
AI Act and the future of communications: challenges for VoIP and contact centers
The AI Act is changing the game for telecom operators. How to prepare VoIP and contact center data and architecture for new regulatory requirements and current challenges.
AI-driven FinOps: The future of multi-cloud cost management by 2026
By 2026, over 80% of large enterprises utilizing multi-cloud infrastructures will integrate artificial intelligence into their FinOps strategies to optimize costs and enhance efficiency. This shift is driven by the increasing complexity of cloud environments and the need for automated data analysis.
AI agents in enterprise systems
Companies face daily challenges in processing large volumes of data, automating routine processes, and making decisions. AI agents are becoming a key tool for addressing these tasks, providing a new level of efficiency and adaptability.
VoIP and AI communications in business: what's relevant in 2026
When a large financial institution's call center faces peak loads, traditional telephone systems can become a bottleneck. Integrating VoIP and AI solutions not only scales call handling but also personalizes customer interactions, optimizing resources and enhancing service quality.