Software-Driven Operations is part of the Informa Tech Division of Informa PLC
This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 3099067.
Juan Manuel Caro
Telefonica Keynote Presentation: Real-Time Customer-Centric Operations
Cisco Keynote Presentation: The Self-publishing Network - Integrating Network Intent into Customer-facing Systems
Imen Grida Ben Yahia
SERVICE PROVIDER FIRESIDE CHAT: ORANGE
SERVICE PROVIDER FIRESIDE CHAT: TIM
In today's complex environments, operations teams must change their mindset and ways of working from a traditional, reactive, network-centric way of solving problems to a proactive/predictive, customer-centric approach of continuous improvement. Understanding our customers, how they use our services, what experiences they are having and what we can do from operations to improve their overall experience is key to succeeding in today's market -- and will be even more important in the virtualized architecture of the near future!
Zero-touch network management, which all but does away with human intervention, is the ultimate goal for network operators but making significant progress towards that goal will require the deployment of artificial intelligence capabilities, in particular machine learning. This panel will look at the current focus of R&D in this area and highlight emerging use cases and best practices, including how AI capabilities are expected to impact functionality such as route optimization, capacity planning, fault management and root cause analysis, dynamic optimization and more.
Network operators can easily fill huge data lakes with streaming telemetry about network paths, traffic flows and performance. There are several open source tools that can be used, including Kafka, Elastic Stack, Grafana and Pnda. The hard part is unlocking the value of all this data to deliver value such as faster root cause analysis, reduced mean time to repair or detection of security threats. To achieve this might require advanced machine learning algorithms that can do predictive or prescriptive analytics. Alternatively, it might suffice to use traditional statistical analysis and correlations. This panel examines the varying approaches to data processing as there is no "one-size fits all" approach to analytics.
The introduction of declarative network service models changes what we know of in the domain of customer resource and order management and how that is integrated with the network. By providing full formal specifications of network intent we can reduce or completely remove the need for costly and time-consuming integration between where the value is created (the network) and where the value is expressed for service providers (the CRM and billing systems).
This presentation will explore the emerging patterns of managing the lifecycle of formal service definitions using software pipelines, and how this process is integrated into customer management systems using well known tools and practices.
Blockchain is one of the most game-changing or over-hyped technologies ever, depending on who you talk to. Across industries, including telecom, organizations are exploring blockchain's potential impact. The biggest questions for service providers, however, are "Where is the biggest bang for the buck?" and "Where and how do we get started?“