Doug Green, Publisher of Technology Reseller News, interviewed Scott Eivers, CEO of Datatonic, about the rapid evolution of AI in telecommunications and why the next phase of innovation depends on building strong data foundations. Datatonic, a leading Google Cloud partner, works with telecom operators and enterprises to modernize their data architectures so they can fully leverage advanced analytics and AI-driven automation.
Eivers explained that the telecom industry is entering a new phase where agentic AI—autonomous systems capable of taking action and executing workflows—will play a growing role in operations, customer engagement, and network management. However, he emphasized that AI success depends heavily on the quality and accessibility of underlying data. “AI is only as good as the data it’s built on,” Eivers noted, pointing out that many organizations still struggle with fragmented data environments that limit the effectiveness of their AI initiatives.
A key focus of Datatonic’s work is helping telecom providers unify and modernize their data infrastructure using cloud-native platforms. By bringing together operational, customer, and network data into a consistent architecture, service providers can unlock new capabilities such as predictive analytics, intelligent automation, and real-time decision-making across their organizations.
The conversation also explored how AI is moving beyond experimentation into production use cases across the telecom sector. From improving customer service to optimizing network performance and detecting fraud, AI-driven systems are increasingly becoming embedded in core telecom operations. Eivers stressed that companies that invest early in scalable data platforms will be best positioned to deploy these capabilities effectively.
Ultimately, the discussion highlighted a broader shift in the industry: AI is no longer just about models and algorithms—it is about data strategy, governance, and operational readiness. As telecom providers pursue digital transformation, the organizations that succeed will be those that treat data as a strategic asset and build the infrastructure needed to support intelligent, automated systems. More information about Datatonic is available at https://datatonic.com/.
POWERED BY BLUBRRY
