5G and Enterprise Challenges
- Providing ultra-high performance and reliability
- Combining predictive AI-based insights with service assurance
- Generating return on network investments
Our AInsights Offer
- Combine predictive AI-based insights with assurance
- Prevent risks and reduce remediation time
- Ready-to-consume network data for Big Data Lakes to build own analytics
Products
Data Fabric
EAA-AInsights application, operated on-prem or on public cloud (AWS), enables Communication Service Providers (CSPs) to benefit from the data processing capabilities of the EAA Cloud Platform. Its Data Fabric layer facilitates seamless movement of normalized network and service data into CSP Data Lakes, where it can be stored, processed, and analyzed by external applications.
By leveraging the Data Fabric layer, the CSP’s data and analytics programs can avoid the need for endless data engineering cycles, resulting in accelerated time to value. This, in turn, reduces costs and enhances the chances of success for analytics projects.
Data Fabric offers a building block of data-driven decision-making to drive multiple telco and enterprise use cases. It extends the benefits of EAA to CSPs through enhanced open, flexible insights to support their growth plans.
Data can be consumed seamlessly by any component of the CSP ecosystem, eliminating the need for repetitive data integration processes. Because of its high Integration flexibility with Industry Standard Interfaces (TMF), backed by Open standards, it drives reduced time-to-value.
Key Features
- High scalability and low-error: Predictive performance of thousands of network entities and applications simultaneously in near real-time.
- Open to OSS ecosystem and data lakes: High Integration flexibility with Industry Standard Interfaces (TMF), backed by open standards.
Collateral
News & Views
Driving intelligent data mining in telcos for revenue growth
Telcos are reshaping their business considering the smart industry opportunity, and utilising AI to understand their own data, optimise their resources and cut down operational expenses. Read story
How AIOps-enabled automation will deliver the dark operations center
As 5G technology takes over mobile networks and telcos begin to deliver enterprise services, the Operations Center needs to become the brain of the network and the most intelligent and self-operating part of the network. Read story
AI-enabled operations of telcos for digitalisation of industries
How software and AI are becoming the brain of telecom networks to reinforce digital businesses. Read storyVideos
Insights Factory
EAA-AInsights offering enables the vision of an open ecosystem for OSS, and one that delivers curated data for AI applications, accelerating the paradigm shift from reactive to proactive operations.
The Insights Factory layer offers the benefits of predictive AI-based insights for the wider OSS ecosystem of a CSP, empowering it to effortlessly integrate pre-packaged AI pipelines. CSPs can perform AI-based use cases, such as anomaly detection, KPI forecasting, alarm pattern discovery, and root cause demarcation for their OSS ecosystem.
Insights Factory benefits the optimization, planning, operations, and NOC/SOC teams of the CSPs by enabling relevant use cases. Insights Factory trains, deploys, and maintains new AI models without human intervention, performs scheduled and on-demand inferring, detecting concept and data drifts.
Insights Factory simplifies the traditional AI process by automating each step in the pipeline and delivering results in a matter of days versus months. It makes the insights available via an API or a dedicated user interface.
Key Features
- AI based insights for critical CSP use cases: AI insights are provided for PM forecasting and anomaly detection, fault related frequent sequence discovery, auto-discovery correlation, Root Cause Analysis and automatic remediation.
- Predictive Maintenance Unit (PMU): This core component allows dynamic, need-based activation, creation and tear-off, which increases the efficiency and accuracy of network assurance.
Collateral
News & Views
Driving intelligent data mining in telcos for revenue growth
Telcos are reshaping their business considering the smart industry opportunity, and utilising AI to understand their own data, optimise their resources and cut down operational expenses. Read storyHow AIOps-enabled automation will deliver the dark operations center
As 5G technology takes over mobile networks and telcos begin to deliver enterprise services, the Operations Center needs to become the brain of the network and the most intelligent and self-operating part of the network. Read storyAI-enabled operations of telcos for digitalisation of industries
How software and AI are becoming the brain of telecom networks to reinforce digital businesses. Read story
Creating value for telcos in tough economic climate
By monetising operations support systems, telcos could maximise the value of their investments as well as reduce costs. In a tough economic climate, a collaborative approach between software vendors and telcos for a value realisation program could lead to the optimisation of spend. Read storyVideos
Insights for EAA
EAA-AInsights offers predefined insights that are modelled for resolving specific network and service problems, which are consumed by existing EAA-Network Assurance applications (PM and FM) and EAA-Service Experience Assurance application (SQM) and Telco Transformation Solutions.
The customer use cases that can be typically enabled through the Insights Factory include:
- Performance Management (PM) forecasting and anomaly detection
- Fault Management (FM) alarm pattern discovery
- Root Cause Analysis (RCA) for incidents and ticketing
Based on a microservices cloud architecture with inbuilt automation and analytics, the EAA-AInsights application offers predictive capabilities for Telco Transformation Solutions offered by MYCOM OSI.
For more details of the latest Telco Transformation Solutions for AIOps, Automation and 5G Assurance, please click here.
Key Features
- AI based insights for critical CSP use cases: AI insights are provided for PM forecasting and anomaly detection, fault related frequent sequence discovery, auto-discovery correlation, Root Cause Analysis and automatic remediation.
- Combined PM and FM data: The PMU output feeds the EAA applications to perform predictive modelling, pattern discovery and anomaly detection. This offers the flexibility to aggregate and disaggregate forecasting and anomaly detection at different network and geographical levels.
Collateral
News & Views
Driving intelligent data mining in telcos for revenue growth
Telcos are reshaping their business considering the smart industry opportunity, and utilising AI to understand their own data, optimise their resources and cut down operational expenses. Read storyHow AIOps-enabled automation will deliver the dark operations center
As 5G technology takes over mobile networks and telcos begin to deliver enterprise services, the Operations Center needs to become the brain of the network and the most intelligent and self-operating part of the network. Read storyAI-enabled operations of telcos for digitalisation of industries
How software and AI are becoming the brain of telecom networks to reinforce digital businesses. Read story