AI Creators
Google Cloud Tech
New Way Now: Ericsson boosts ROI and issue resolution with Gemini Enterprise Agent Platform
Aug 18, 20261 min watch
Quick Overview
This promotional case study from Google Cloud Tech features Jason Keane, Head of Portfolio for Business and Operations Support Systems at Ericsson. Keane discusses how telecommunication providers can bridge advanced automation tools and business systems through cloud AI partnerships. The video highlights the application of Google Cloud agent technologies within Ericsson's network management portfolio.
Key Points
- 1.Operations support systems manage service activation while business support systems handle billing and monetization.
- 2.Ericsson collaborates with Google Cloud to simplify telecommunications operations and convert emerging technologies into business value.
- 3.Google's Gemini Enterprise Agent Platform aggregates network data to power autonomous agents capable of closed-loop issue detection and remediation.
- 4.Using Google Cloud AI tools allows telecom operators to reduce root cause analysis turnaround times from hours down to minutes.
Summary
Jason Keane, Head of Portfolio for Business and Operations Support Systems at Ericsson, frames the core challenge facing modern telecom operators: transforming technologies like artificial intelligence, orchestration, and automation into tangible business value. He defines operations support systems (OSS) as the mechanism responsible for turning network services on and off, while business support systems (BSS) act as the cash register that manages billing and monetization. To address industry complexity, Ericsson establishes simplification pathways and collaborates with Google Cloud to translate technical capabilities into operational outcomes.
To automate network management, Ericsson begins by gathering and aggregating telemetry data across systems. This unified data layer powers Google's Gemini Enterprise Agent Platform, enabling a multi-agent ecosystem that closes operational loops. The platform deploys specialized agents, including assurance agents that identify quality-of-service risks, proposal agents that generate remedy options, and evaluation agents that review and select optimal network adjustments. Rather than merely alerting operators to problems, the platform enables agents to resolve issues directly by adjusting network resources and scaling RAN and core network capacity.
In practical real-world deployments, Ericsson uses Google Cloud AI tools to carry out rapid root cause analysis for telecom customers. By using automated diagnostics and agent workflows, the time required to perform root cause investigation is reduced from hours down to minutes. The integrated Google Cloud ecosystem allows Ericsson to ingest raw data and deploy AI models that accelerate service recovery and drive ongoing operational innovation.
Connecting Operations and Business Support Systems
Jason Keane, Head of Portfolio for Business and Operations Support Systems at Ericsson, explains the fundamental roles of OSS and BSS in telecommunications. OSS serves as the control system that turns customer services on and off, whereas BSS acts as the cash register that processes transactions and collects revenue. Turning automation and orchestration tools into practical business value requires simplifying these operational complexities.
Automating Resolution with Agentic AI
Ericsson leverages Google Cloud and the Gemini Enterprise Agent Platform to ingest and unify telecom operational data. Specialized AI agents, such as assurance, proposal, and evaluation agents, analyze network health indicators and automatically execute remediation workflows. This closed-loop mechanism not only diagnoses network anomalies but actively executes fixes, such as scaling radio access network and core capacity.
Accelerating Root Cause Analysis
Implementing Google Cloud AI tools directly enhances troubleshooting workflows for telecom clients. By deploying intelligent assistant models and automated agent pipelines, Ericsson compresses root cause investigation timelines from hours to minutes, accelerating innovation and service restoration.
The Bottom Line
The video establishes how Ericsson integrates Google Cloud and the Gemini Enterprise Agent Platform to achieve closed-loop network issue resolution across OSS and BSS environments. It demonstrates that combining unified data with automated AI agents reduces root cause analysis turnaround from hours to minutes. Technical implementation specifics and long-term deployment metrics across diverse operator networks remain unaddressed.
FAQ
What is the Gemini Enterprise Agent Platform and how does Ericsson use it?
The Gemini Enterprise Agent Platform is a Google Cloud AI environment that Ericsson uses to build autonomous, closed-loop agents that analyze network data, identify service risks, and automatically execute remediations.
What is the difference between Operations Support Systems and Business Support Systems?
Operations Support Systems (OSS) control the provisioning and activation of services across the network, whereas Business Support Systems (BSS) manage commercial transactions, billing, and revenue collection.
How do AI agents automate network issue resolution in Ericsson systems?
Data is ingested into agent platforms where assurance, proposal, and evaluation agents collaborate to assess quality-of-service agreements, select appropriate remedies, and adjust network resources without manual intervention.
How much does Google Cloud AI reduce root cause analysis time for Ericsson customers?
Deploying Google Cloud AI tools reduces root cause analysis and resolution turnaround times from hours down to minutes.
Worth watching for
Telecom engineers, network architects, and IT decision-makers looking to integrate enterprise AI and autonomous agent frameworks into OSS and BSS workflows.
- ericsson
- google-cloud
- gemini
- telecommunications
- automation
- ai-agents