Meet Future Connections at FutureNet World 2023
Future Connections presents its network Energy Saver application, illustrates its portfolio of modular, scalable, multi-technology, multi-domain solutions and discusses its expertise in the network data domain
29th March 2023 – Etten-Leur, Netherlands
Future Connections, the independent telco solutions provider and software developer with in-depth experience in network performance assurance, optimisation and automation and in telco managed services, today announced details of its participation at FutureNet World ’23, which will take place on 3rd and 4th May 2023 in London, United Kingdom.
This year’s theme, ‘Network automation & AI, defining the roadmap for the telco of the future’, will bring together world’s leading telco executives to drive the agenda around the future of networks by discussing the strategic and commercial priorities in today’s digital world. The 2-day event focuses on network automation and AI, as they are considered key foundational pillars for the next wave of growth in telecoms.
At FutureNet World, Future Connections will:
- Present its Network Energy Saver application, already used by tier-1 operators to achieve the optimisation of their power consumption, reducing their energy costs by up to 15% based on their specific energy saving strategy, without causing any service degradation that could negatively impact the service performance
- Illustrate how its portfolio of NIx modular, scalable, multi-technology and multi-vendor network intelligent solutions deliver simplification, efficiencies and cost reductions through a more flexible approach to automate all network processes in a multi-domain environment. The individual applications – OSS, CSON or RIC-ready – support tier-1 operators in the resolution of their specific most complex use cases of close loop automation and service assurance in an easily customisable and cost-effective way
- Discuss its expertise in network data domain. The company leverages its extensive AI/ML knowledge and experience using techniques such as root cause analysis and causal inference on data collected from any type of sources in order to deliver better insights, inform and guide the automation decision-making process and make the network work in a simplified and smarter way