Name: B-Yond AGILITY
Author: B-Yond

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AGILITY by B-Yond is a machine learning and automation platform designed specifically for telcos. According to the vendor, this solution is built to predict, detect, and resolve network anomalies, making it a potentially valuable tool for telecommunications professionals, network engineers, operations managers, and IT professionals in the telecommunications industry. AGILITY is intended for telcos of all sizes, ranging from large operators to small service providers, potentially allowing businesses of various scales to benefit from its capabilities.

## Key Features

**Root Cause Analysis (RCA)**: AGILITY applies machine learning models to automate test analyses and troubleshooting, potentially predicting the root cause for failures. According to the vendor, this feature aims to decrease test life cycles, accelerate time-to-market, and reduce time-to-repair.

**Anomaly Detection (AD) & Prediction**: The platform provides continuous monitoring and impact analysis for service assurance, potentially facilitating the transformation to a low-touch network. According to the vendor, it excels in predicting and detecting network anomalies, potentially ensuring proactive management.

**Managed Labs**: AGILITY aims to improve time-to-market and quality through lab automation, potentially making the pre-production environment predictable, scalable, and zero-touch. According to the vendor, this feature can significantly reduce costs associated with lab setup and implementation.

**Mobility Lab Portal**: The observability portal allows users to monitor network and service health effortlessly. It offers a dynamic dashboard that provides visualization of health check status, testing activities, maintenance, and issue tracking, potentially aiding in network management.

**Automate Root Cause Analysis (RCA) with Continuous Testing & Continuous Validation**: According to the vendor, this feature aims to achieve up to a 10X increase in RCA coverage while reducing costs by up to 75%. By ensuring network continuity and minimizing faults through predictive measures, it potentially increases network automation by 4X compared to manual execution.

**Optimize Lab Launch & Implementation**: AGILITY aims to increase lab lineup availability by reducing lab lineup durations by up to 33%, from 9 months to 3 months. According to the vendor, this optimization potentially improves efficiency and accelerates the implementation of labs.

**AIOps for Continuous Testing & Continuous Validation**: By applying the power of AIOps (Artificial Intelligence for IT Operations), AGILITY aims to keep pace with network data, inform decision-making, and potentially drive optimized customer experiences. According to the vendor, this feature brings governance to network data through proven life cycle management and machine learning.

**End-to-End AIOps (Artificial Intelligence for IT Operations) Across the Full Network**: AGILITY aims to apply repeatable, flexible, and accelerated analytics processes informed and powered by constantly evolving and improving telco optimized machine learning models. According to the vendor, this feature aims to enhance network management and decision-making.

**Support for Automated Operations at Scale**: B-Yond's approach to configurable network modeling and ingestion aims to automate network changes in the operations layer, potentially supporting automated operations at scale.


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Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

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B-Yond AGILITY

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What is B-Yond AGILITY?