Endpoint and Edge AI solutions that improve the transparency, performance, and reliability of today’s diverse and complex IT and OT networks. Greater customer satisfaction at reduced cost.
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.
Security and Monitoring for Telecom Ecosystems
MicroAI’s Security and Monitoring platform brings AI-enabled closed-loop cyber protection to telecom operators, service providers, and OEMs.
MicroAI NQoS is the first-of-its-kind platform for intelligent orchestration of the entire telecom business and operational ecosystem. Key features include:
Deep Ecosystem Observability
Real-time performance observability into an individual asset or into large groups of devices within the telecom network
Centralized, Holistic, Intelligence
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
Tailored for Low Resource Devices
Smart Connectivity incorporates machine learning that is designed specifically to run on network equipment and devices with limited memory and compute capacity
Predictive Analytics
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
Intelligent Workflows
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
Reduced Cloud Dependance
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
Zero-Trust Cyber-Security
Self-learning algorithms provide the real-time intelligence needed to protect networks, devices, and customers from today’s sophisticated cyber threats
Use Cases
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:
Faster device certification
Reduced human dependance
Rapid TTM
Optimized revenue capture
Device Lifecycle Management
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:
Inefficient device catalog management
Sluggish SIM and use case activation
Non-optimized monetization
Lifecycle blind spots
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:
AI-enabled device catalogs
Automated SIM activation and use case enablement
Optimized service delivery and monetization
Real-time device lifecycle tracking and management
Creating New Revenue Streams
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:
Elongated TTM for new products and services
Prohibitive CAPEX barriers to develop new use cases
Costly integration with legacy back-end systems
Poor insights into business operations, actual value to customer, and financial outcomes
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:
Dynamic management of catalog of product and service offerings
Differentiated offering based on deep insights into customer and location variances
Automated device activation and provisioning enables deeper market penetration
Deep analytics into device volume, program revenue, and margin performance
NQoS Optimization
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:
Slow performance issue identification and mitigation
Inability to quantify the impact of sup-optimal performance on the user experience
Inconsistent roaming data availability and quality
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.
Quicker, more accurate, identification and mitigation of performance issues
Predictive analytics support forward-looking impact assessment
Real-time visibility into roaming performance and customer experience
Improved customer experience, brand loyalty, and NPS scores
Hardened Cyber Security
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:
Overwhelming attack volume, variety, and sophistication
IoT device cyber-security vulnerabilities
Overmatched legacy cyber-security tools and protocols
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.
Deep observability into device and network security status
Improved visibility for Device OEMs
Predictive analytics that improve preparedness
Attainment of a Zero-Trust cyber-security state
Higher customer satisfaction and confidence
Ecosystem Sustainability
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:
Lack of in-built sustainability in new network infrastructure designs
Over-reliance on heavy, energy consuming, data centers
Non-optimized equipment lifecycle management
Non-automated network energy management
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:
Up-front energy efficiency designed into new network components and hardware
Ability to embed AI into existing equipment to improve efficiency
Reduction in size and number of data centers required to support the network