Telecom
Optimize. Innovate. Disrupt. MicroAI™ provides advanced embedded and edge intelligence to power next-generation telecom solutions. Optimize network performance, innovate new offerings, and create new revenue streams.
Overview
Personalized AI for Telecom
The explosion in devices and machines connected to broadband and fixed wireless networks has created new opportunities and challenges for telecom operators.
Development of new offerings will require AI and ML solutions that are more personalized and that operate much closer to the assets within the telecom network. This edge and endpoint intelligence will maximize the performance, reliability, and security of these new offerings.
Challenges
Next-Generation Telecom Challenges
The ability to optimize, innovate, and disrupt in today’s hyper-competitive telecom market will require breakthrough solutions to several historical limitations.
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Disconnected Command and Control
AI enabled, decentralized, command and control is needed to aggregate, synthesize, and react to the massive amounts of data generated within the telecom network.
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Network Observability Gaps
The lack of embedded intelligence makes it difficult for operators and device OEMs to acquire the real-time performance insights that would improve quality of service (QoS) performance to their customers.
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Lack of Predictive Analytics
The absence of multidimensional behavioral algorithms to produce the recursive analysis, learning, training, and processing required to enable predictive modeling on asset performance, customer trends, etc.
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Predictive Maintenance
Lack of real-time insights, unscheduled downtimes, and static maintenance routines all combine to create network hardware infrastructures that perform well below their optimum capability.
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Cyber-Threat and Fraud Protection
Legacy network security applications that do not provide the AI-enabled, Zero-Trust capabilities required to protect networks, devices, and customers.
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Quicker Recognition and Reaction to Market Opportunities
Several technology and operational limitations need to be overcome for telecom operators, MVNOs, OEMs, and CSPs to create new streams of revenue that capitalize on advancements in AI, ML, 5g, and IoT.
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Data Transmission Costs
Cloud processing of petabytes of data creates massive costs for telecom operators, impacts bottom lines, and restricts ability to offer new pricing levels.
The Solution
AI-Enabled Service Orchestration
MicroAI’s core technologies, AtomML™ and AtomML+™ represent the future of embedded and edge AI capabilities for the telecom segment. By moving intelligence enablement and training much closer to broadband and wireless networks, their assets, and their users, the MicroAI products and solutions provide a more transparent, and more interconnected, approach to managing today’s complex telecom infrastructures.
Predictive Fraud Protection
Telecom operators are bombarded by malicious actors looking to defraud customers and operators. Globally, losses related to fraud can exceed billions of dollars annually. MicroAI provides AI-enabled predictive security that provides protection against…
- Creation of fake customer profiles
- Unauthorized network access
- Customer data theft
- Interconnect bypass fraud
- PBX hacking
- Spoofing (single-ring scams)
- Subscription fraud
Embedded and edge security algorithms provide more robust cyber protection that shorten detection and reaction times (detection in seconds instead of hours/days).
Benefits
Optimize, Innovate, and Disrupt
MicroAI’s Enterprise AI for Telecom will provide telecom companies with the means to develop differentiated offerings
while also improving operational efficiencies and improving customer stickiness.
Transformational benefits will include:
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Improved Network Performance
Intelligent network optimization that gives operators the ability to optimize network efficiencies, prevent failure, improve device to network visibility, and predict future bandwidth requirements.
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AI-Enabled Innovation
The ability to innovate new offerings based on predicitve insights into future trends in IoT development, cyber threats, fraud types, and customer demands.
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Intelligent Security
Self-learning security protocols embedded at the network and asset levels that deliver state-of-the-art security to operators, OEMs, and customers.
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Improved Brand Loyalty
Quality of Service (QoS) metrics generated by AI-enabled analytics power the fine tuning of the customer experience and improves brand loyalty.
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Revenue Growth
The ability to analyize and visualize data from networks, devices, customer interactions, and service trends will accelerate the development of new products and services and improve customer retention.
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Reduced Cost
Signficant reductions in cost associated with network and device data transmission will have a major impact on OPEX and bottom-line results.
Products
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Machine Intelligence
Machine Intelligence – Making machines more transparent.
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Security and Monitoring
The cyber-security landscape is changing….daily.
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Smart Connectivity
Smart Connectivity – A Telecom service orchestration platform
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Digital Factory
MicroAI Factory – The Digital Factory of the Future.
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Launchpad
MicroAI Launchpad is an enterprise platform for development of end-to-end
