Powered by advanced embedded and edge AI technologies, MicroAI Smart Connectivity provides comprehensive service orchestration capabilities that enable intelligent device lifecycle management, rapid execution of go-to-market for new revenue opportunities and accelerates new customer acquisition. Smart Connectivity delivers transformative value to MVNOs, CSPs, and OEMs.
MicroAI’s Security and Monitoring platform brings AI-enabled closed-loop cyber protection to telecom operators, service providers, and OEMs.
MicroAI Smart Connectivity is the first-of-its-kind platform for intelligent orchestration of the entire telecom business and operational ecosystem. Key features include:
Real-time performance observability into an individual asset or into large groups of devices within the telecom network
Provides performance intelligence across multiple networks and devices within the telecom ecosystem and aggregates data from device and network sensors to create behavioral profiles and real-time health scores
Smart Connectivity incorporates machine learning that is designed specifically to run on network equipment and devices with limited memory and compute capacity
Multivariate analysis is performed across large volumes of input channels to generate predictive analytics related to network performance, hardware maintenance, customer usage trends, and more
AI-enabled process workflows that go well beyond the capabilities of legacy BPM solutions by providing touchless, self-learning, self-evolving, management of complex business and operational processes
More data processed at the edge, vs in the cloud, reduces overall data handling cost by 70 to 80% and eliminates problems associated with data latency and connectivity
Self-learning algorithms provide the real-time intelligence needed to protect networks, devices, and customers from today’s sophisticated cyber threats
MicroAI Smart Connectivity has several powerful and transformative Use Cases for the Telecom industry, including:
Problem: Device certification and onboarding processes are impeded by the lack of deep process observability and control required to achieve high speed and reliability. Issues include shallow observability, static processes, and delayed TTM.
Solution: Smart Connectivity brings deep observability and intelligent workflows to the device certification and onboarding ecosystem. Stakeholders are now empowered with insight-rich data that is delivered in real-time. Benefits include:
Problem: Inability to quickly gather the real-time insights that would improve the provisioning, performance, and monetization of massive volumes of IoT devices. Hurdles include:
Solution: Smart Connectivity provides consolidated visibility, management, and optimization of the entire IoT device lifecycle. Telecom and device OEM stakeholders will have a unified platform from which to manage every critical phase of the device journey while also providing a superior customer experience. Advantages include:
Problem: Telecom operators and CSPs lack service orchestration capabilities to match those of hyperscalers and cloud service providers to rapidly launch new programs and services that generate new revenue streams. Inefficiencies include:
Solution: Smart Connectivity creates an intelligent service orchestration infrastructure that allows telecom operators and CSPs to compete with hyperscalers in the ability to recognize new revenue opportunities and to quickly develop and scale new products and services. Benefits include:
Problem: The explosion in connected devices and the data they produce has had a ripple effect on attaining and sustaining high levels of mobile network performance. MVNOs need new technologies to meet demands of networks that are increasingly large and diverse. Challenges include:
Solution: Over the past couple of decades mobile network quality of service has improved incrementally. Smart Connectivity brings a paradigm shift in NQoS that fully addresses existing challenges.
Problem: Telecom network operators and service providers face challenges that were scarcely visible just a decade ago. Rapid detection and mitigation of a cyber-attack can mean the difference between a minor disruption or an operational catastrophe. Challenges include:
Solution: Smart Connectivity deploys plug-and-play security directly into the devices, machines, and processes within the telecom infrastructure. AI-enabled security learns the normal state of asset behavior and provides early-stage detection of profile deviations caused by cyber intrusion. An arsenal of capabilities to create a powerful Zero Trust security state.
Problem: As 5G adaption continues to accelerate renewed focus is being applied to the sustainability of telecommunication networks. Overall network performance can no longer be separated from network sustainability. In essence, operators either have both or they have neither. Issues include:
Solution: Smart Connectivity provides the AI-enabled technologies required to effect significant reductions in energy consumption and waste. These technologies will revolutionize energy management without sacrificing network performance and customer satisfaction. Benefits will include:
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