MicroAI Delivers Personalized AI to the Telecom Industry
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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.

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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.

  • No Centralized Command and Control

    A centralized, AI enabled, command and control center is needed to aggregate, synthesize, and react to the massive amounts of data generated within the telecom network.

  • 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.

  • Lack of Predictive Analytics

    The lack of multidimensional behavioral algorithms to produce the recursive analysis, learning, training, and processing required to enable predictive modeling on asset performance, customer trends, etc.

  • Cyber-Threat and Fraud Protection

    Legacy network security applications that do not provide the impenetrable, AI-enabled, protection required to protect networks, devices, and customers.

  • 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.

Enterprise AI for Telecom

MicroAI’s core platforms, AtomML™, AtomML+™, and Launchpad™ represent the future of embedded and edge AI capabilities for the telecom segment. By moving intelligence enablement and training much closer to the network and its devices, these solutions provide a more intimate, and more interconnected, approach to managing today’s complex telecom infrastructures.

  • Centralized, Agentless, Intelligence

    Agentless technology that collects and streams network, asset, and device data from multiple endpoints into one centralized location.

  • Tailored for Low-Resource Devices

    Machine learning that is designed specifically to run on network equipment and devices with limited memory and compute capacity.

  • Deep Network Observability

    The unique ability to provide real-time performance observability into an individual machine or into large groups of devices within the telecom network.

  • 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.

  • Reduced Cloud Dependence

    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.

  • Hardened Cyber-Security

    Self-learning algorithms provide the real-time intelligence needed to protect networks, devices, and customers from today’s sophisticated cyber threats.

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
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Embedded and edge security algorithms provide more robust cyber protection that shorten detection and reaction times (detection in seconds instead of hours/days).

Optimize, Innovate, and Distrupt

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:

  • 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.

  • 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.

  • Intelligent Security

    Self-learning security protocols embedded at the network and device levels that deliver state-of-the-art security to operators, OEMs, and customers.

  • 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.

  • 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.

  • Reduced Cost

    Signficant reductions in cost associated with network and device data transmission will have a major impact on OPEX and bottom-line results.

Interested in how MicroAI can benefit you?

 MicroAI AtomML brings big infrastructure intelligence down into a single piece of equipment or device.

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