Altice Labs Network Intelligence - Detailed Review

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Altice Labs Network Intelligence - Detailed Review Contents
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    Altice Labs Network Intelligence - Product Overview



    Altice Labs Overview

    Altice Labs, a leading research and development center within the Altice Group, focuses on developing innovative network intelligence solutions that leverage artificial intelligence (AI) and machine learning (ML) to enhance network performance, service usage, and customer experience.

    Primary Function

    The primary function of Altice Labs’ network intelligence solutions is to optimize and automate network operations, improve customer experience, and drive business value through AI-driven technologies. These solutions aim to predict and prevent network faults, optimize maintenance processes, and enhance overall network efficiency.

    Target Audience

    The target audience for Altice Labs’ network intelligence products includes telecommunications service providers, network operators, and enterprises seeking advanced network solutions to improve their operational efficiency and customer satisfaction.

    Key Features



    Cognitive Network Operations

    Altice Labs’ solutions include a Cognitive Network Operation Centre (NOC) that predicts mobile network critical faults and performs root cause analysis of low network accessibility. This helps in proactive network management and minimizes service disruptions.

    Predictive Maintenance

    The cognitive infrastructure maintenance feature predicts anomalies in customer premises equipment (such as set-top boxes and home gateways) and optimizes repair processes, ensuring quicker and more efficient maintenance.

    Business and Operations Support Systems (OSS)

    Altice Labs’ NOSSIS One solution is a next-generation OSS that supports hybrid ecosystems, manages traditional and virtualized networks, and integrates multiple technology and business segments. It uses AI and ML to provide autonomous mechanisms for self-healing, self-optimization, and self-protection of services, ensuring high service availability and efficient asset usage.

    Advanced Connectivity

    The company offers customized network solutions, including advanced connectivity options such as ultra-fast broadband, Optical Line Terminals (OLTs), and fiber gateways. These solutions are designed to provide seamless and reliable Wi-Fi systems for various home and business scenarios.

    AI-Driven Decision Mechanisms

    Altice Labs’ solutions incorporate AI and ML to provide intelligent decision mechanisms. These mechanisms use data sensing and knowledge learning to determine actions for automated and intelligent self-healing, self-optimization, and self-protection of services. By integrating these features, Altice Labs’ network intelligence solutions aim to create a more efficient, automated, and customer-centric network environment.

    Altice Labs Network Intelligence - User Interface and Experience



    User Interface

    The user interface of Altice Labs’ network intelligence tools, such as the NOSSIS One solution, is characterized by a focus on simplicity and efficiency. Here are some notable features:



    Modular Architecture

    The NOSSIS One solution employs a microservices architecture, which allows for flexibility and ease of integration with various systems and data sources. This modular approach makes it easier for users to manage and interact with the system.



    Visual and Intuitive Interfaces

    Tools like the NOSSIS One AIOps module, including the ARISE (Autonomous Recursive Intelligent System), feature interactive and intuitive interfaces. For example, the Alarm Manager and ARISE modules provide dynamic enrichment and correlation of real-time network events, which are presented in a clear and actionable manner.



    API Exposure

    The system exposes APIs, which are certified by TM Forum, facilitating seamless integration with other tools and systems. This openness ensures that users can easily interact with and manage network operations through standardized interfaces.



    Ease of Use

    The ease of use is a significant focus for Altice Labs’ network intelligence tools:



    Automated Processes

    The NOSSIS One solution and its AIOps module automate many processes, such as root cause analysis and fault management. This automation reduces the need for manual intervention, making the system more user-friendly and efficient.



    Self-Healing and Self-Care

    The system includes autonomic closed-control loops for self-healing, self-optimization, and self-protection. These features minimize the need for user intervention in routine maintenance and troubleshooting, enhancing overall ease of use.



    Low-Code Solutions

    Altice Labs also offers low-code solutions, such as the BOTSchool® platform, which allows users to create and manage AI bots without extensive programming knowledge. This makes it accessible to a broader range of users.



    Overall User Experience

    The overall user experience is optimized for efficiency, agility, and customer satisfaction:



    Unified Processes

    The NOSSIS One solution unifies end-to-end processes across multiple technology and business segments, ensuring a consistent and streamlined user experience. This includes unified asset mediation and integrated management of traditional and virtualized networks.



    Real-Time Insights

    The system provides real-time network insights and proactive maintenance capabilities, enabling users to address issues promptly and improve the quality of service. This enhances the overall user experience by ensuring service availability and efficiency.



    Integration with Customer Tools

    The integration with omnichannel virtual assistant tools, such as those from BOTSchool, further enhances the customer experience by providing seamless and intelligent support.

    In summary, Altice Labs’ network intelligence tools are designed with a user-friendly interface, automated processes, and a focus on efficiency and customer satisfaction, making them accessible and effective for a wide range of users.

    Altice Labs Network Intelligence - Key Features and Functionality



    Altice Labs Network Intelligence Solutions

    Altice Labs’ network intelligence solutions, particularly within their AI-driven products, feature several key functionalities that leverage advanced artificial intelligence (AI) and machine learning (ML) techniques. Here are the main features and how they work:



    ARISE Module (Autonomous Recursive Intelligent System)

    • This module is part of the NOSSIS One OSS full stack platform and uses advanced machine learning to autonomously identify root causes of failures. It operates without human-defined rules, significantly enhancing operational efficiency by reducing analysis time by up to 90%.
    • ARISE dynamically enriches and correlates real-time network events, feeding the Network Operations Center (NOC) or Security Operations Center (SOC) with failures that require attention and action.


    Alarm Manager and Fault Management

    • The Alarm Manager, in conjunction with the ARISE module, manages fault detection and root cause analysis. It reduces the time for detecting root causes by more than 90%, making it highly efficient for telecom operators and digital service providers.
    • This system supports heterogeneous event acquisition from various protocols such as SNMP, ASCII, CORBA, POP3, HTTP, and Kafka, ensuring comprehensive coverage of network events.


    Scalable Microservices Architecture

    • The solution is built on a scalable microservices architecture, which can be deployed in the cloud or on-premises. This ensures high availability and fault tolerance, making it reliable for critical network operations.


    Integration with Virtual Assistants

    • The system integrates with omnichannel virtual assistant tools, such as BOTSchool from Altice Labs, to enhance customer experience. This integration allows for automated corrective actions and better customer service.


    Open API and Standard Compliance

    • The solution is certified by TM Forum for alarm operation and management, including recognition, comment, inquiries, and closure. This ensures standard compliance and ease of integration with other systems.


    Predictive Fault Management and Root Cause Analysis

    • Altice Labs’ AI-driven solutions also include predictive fault management, where AI algorithms predict mobile network critical faults and analyze the root causes of low mobile network accessibility. This proactive approach helps in maintaining network performance and accessibility.


    Cognitive Network Operations

    • The cognitive network operation center (NOC) uses AI to predict and diagnose issues before they become critical. This includes pattern-based diagnostics of customer service issues and automated corrective actions, enhancing the efficiency of network operations.


    Cognitive Infrastructure Maintenance

    • The system predicts anomalies in customer premises equipment (such as set-top boxes and home gateways) and optimizes repair processes. This proactive maintenance reduces downtime and improves overall network reliability.


    AGORA Network Management Solution

    • AGORA is a network management solution that provides a suite of GUI applications for network provisioning, maintenance, and monitoring. It supports both state-of-the-art technologies (like xPON, G.fast, MPLS, Ethernet) and legacy technologies (like PDH, TDM, ATM, SDH, xDSL). AGORA ensures all FCAPS functionalities (Fault, Configuration, Administration, Performance, and Security) and integrates with third-party systems through standardized Northbound Interfaces (NBI).

    These features collectively enhance operational efficiency, reduce downtime, and improve the overall quality of service for telecom operators and digital service providers by leveraging AI and ML technologies.

    Altice Labs Network Intelligence - Performance and Accuracy



    Performance

    Altice Labs has implemented various AI-infused solutions that significantly enhance network performance. Here are some highlights:

    Cognitive Network Operation Centre (NOC)

    Altice Labs has developed AI-driven use cases such as predicting mobile network critical faults and performing root cause analysis of low mobile network accessibility. This proactive approach helps in maintaining high network performance and reducing downtime.

    Real-Time Monitoring and Automation

    Their NOSSIS Assurance solution, which is AIOps centered, uses real/near-real time monitoring and intelligent analytics to enable automated closed-loop decisions. This enhances both customer experience and operational efficiency by providing automatic and real-time diagnostics, intelligent root cause detection, and performance management.

    Customized Network Solutions

    Altice Labs offers customized network solutions, including advanced connectivity options like ultra-fast broadband, 5G small cells, and optical distribution networks. These solutions are optimized for performance and can be monitored, troubleshot, and optimized continuously.

    Accuracy

    The accuracy of Altice Labs’ solutions is supported by several factors:

    AI and Machine Learning

    The integration of AI and ML technologies ensures accurate diagnostics and predictive analytics. For example, their cognitive call centre solution uses pattern-based diagnostics to identify customer service issues and recommend automated corrective actions.

    Automated Root Cause Detection

    The Fault Management – Alarm Manager component of NOSSIS Assurance intelligently and automatically detects the root cause of issues, reducing the meantime to repair (MTTR) and improving overall network reliability.

    Performance KPIs and Alarms

    The Monitoring and Performance Management – Altaia module provides accurate performance KPIs and alarms for network and service degradation, ensuring that any issues are quickly identified and addressed.

    Limitations and Areas for Improvement

    While Altice Labs’ solutions are advanced, there are some limitations and areas that could be improved:

    Standardization Issues

    In the context of private 5G networks, Altice Labs faces limitations due to the lack of standards for supporting pure WLAN devices connections to the 5G Core (5GC). They are working on interim proprietary solutions until these standards are defined by 3GPP.

    Cost and Complexity

    Private 5G networks, despite their benefits, are currently complex and expensive to deploy and maintain. Altice Labs is working on solutions like OpenRAN to reduce these costs, but this is an ongoing process.

    Scalability

    While the current solutions are scalable to some extent, the process of diagnosing and resolving network issues can still be inefficient if not fully automated. The implementation of cognitive operations with full path automation is a step in the right direction, but continuous improvement is necessary to maintain scalability. In summary, Altice Labs’ Network Intelligence solutions demonstrate strong performance and accuracy through their AI-driven approaches, real-time monitoring, and automated decision-making. However, they are addressing ongoing challenges related to standardization, cost, and complexity, particularly in the deployment of private 5G networks.

    Altice Labs Network Intelligence - Pricing and Plans



    NOSSIS One AIOps Module

    • The NOSSIS One platform, which includes the ARISE module, is described in terms of its features and benefits, such as autonomous root cause identification and enhanced operational efficiency. However, there is no mention of pricing or different tiers.


    Network Control and Service Platforms

    • These platforms offer various services like virtual assistants, convergent services, and API management, but again, there is no information provided on pricing or subscription plans.


    Ultra-Fast Broadband Portfolio

    • This document details the technical specifications and capabilities of Altice Labs’ broadband solutions but does not include pricing information.


    Conclusion

    Given the lack of specific pricing details in the provided sources, it is clear that the pricing structure for Altice Labs’ Network Intelligence and AI-driven networking tools is not publicly disclosed. If you need precise pricing information, it would be best to contact Altice Labs directly or check for any updates on their official website.

    Altice Labs Network Intelligence - Integration and Compatibility



    Integration with Various Data Sources

    The ARISE module, part of the NOSSIS One platform, can acquire and correlate events from a wide range of sources, including SNMP, ASCII, CORBA, POP3, HTTP, and Kafka. This heterogeneous event acquisition capability ensures that the system can integrate with diverse data sources, enhancing its ability to identify and resolve issues efficiently.



    Scalable and Flexible Architecture

    The NOSSIS One platform, including the ARISE module, is built on a scalable microservices architecture. This architecture allows for deployment in both cloud and on-premises environments, ensuring high availability and fault tolerance. Such flexibility makes it compatible with different infrastructure setups, catering to various operational needs.



    Open API and Standards Compliance

    Altice Labs’ products, such as the NOSSIS One AIOps module, are integrated with open APIs certified by TM Forum. This includes support for alarm operation and management functions like recognition, comment, inquiries, and closure. Compliance with industry standards ensures seamless integration with other systems and tools that follow these standards.



    Integration with Omnichannel Virtual Assistants

    The NOSSIS One platform can integrate with omnichannel virtual assistant tools, such as BOTSchool from Altice Labs. This integration enhances customer experience by providing automated support and efficient issue resolution pathways.



    Compatibility with Network Devices and Systems

    Altice Labs’ products, including those in the Ultra-Fast Broadband portfolio, are compatible with a variety of network devices and systems. For example, their Customer Premises Equipment (CPE) supports multiple technologies like GPON, 10G PON, and DOCSIS, and includes features such as Wi-Fi 6 (802.11ax) and RDK-B software framework. This ensures compatibility and seamless integration with different network infrastructures.



    Business and Operations Support Systems

    Altice Labs’ Business and Operations Support Systems (B/OSS) are designed to manage resources, networks, services, and customers efficiently. These systems automate business processes, reducing costs and increasing agility, which implies they can integrate well with existing operational systems to enhance overall efficiency.



    Conclusion

    In summary, Altice Labs’ Network Intelligence products are engineered to be highly integrative and compatible across a broad spectrum of platforms, devices, and systems, making them versatile and effective solutions for telecommunications and digital service providers.

    Altice Labs Network Intelligence - Customer Support and Resources



    Customer Support Options

    Altice Labs offers several customer support options and additional resources within their Network Intelligence and AI-driven product category, which are designed to enhance customer experience and operational efficiency.

    AI-Driven Support Tools

    Altice Labs has developed innovative AI-driven modules, such as the ARISE (Autonomous Recursive Intelligent System) module, which is part of the NOSSIS One OSS full stack platform. This module uses advanced machine learning techniques to autonomously identify root causes of failures, significantly reducing analysis time by up to 90% and enhancing operational efficiency.

    Automated Fault Management

    The Alarm Manager, another component of NOSSIS One, dynamically enriches and correlates real-time network events, feeding the Network Operations Center (NOC) and Security Operations Center (SOC) with failures that require attention. This module supports heterogeneous event acquisition from various protocols like SNMP, ASCII, CORBA, and more, ensuring comprehensive network monitoring.

    Cognitive Network Operations

    Altice Labs’ cognitive network operation center (NOC) uses AI to predict mobile network critical faults and analyze the root causes of low mobile network accessibility. This proactive approach helps in maintaining high network performance and reducing downtime.

    Digital Assistants

    Altice Labs provides digital assistants that can be created by non-expert users in NLP, allowing businesses to automate customer support interactions. These digital assistants integrate with omnichannel virtual assistant tools, such as BOTSchool, to enhance the customer experience.

    Remote Device Management

    The Device Management solution by Altice Labs supports the management of millions of devices in real-time, including customer premises equipment (CPE). This solution allows for remote configuration, troubleshooting, and management through protocols like TR-069 and OMCI, ensuring efficient device management without user intervention.

    Smart Wi-Fi Solutions

    Altice Labs’ Smart Wi-Fi solution provides a cloud platform for monitoring, diagnosing, and optimizing Wi-Fi services in real-time. This platform offers high visibility into Wi-Fi service quality and allows for remote control services through an intuitive mobile app and cloud portals, benefiting both operators and end customers.

    Integration and APIs

    The solutions provided by Altice Labs are designed with scalable microservices architecture, deployable in the cloud or on-premises, ensuring high availability and fault tolerance. They also offer open APIs certified by TM Forum for alarm operation and management, facilitating seamless integration with other systems.

    Conclusion

    These resources and tools are aimed at improving customer support by automating processes, enhancing network performance, and providing real-time insights and management capabilities.

    Altice Labs Network Intelligence - Pros and Cons



    Advantages of Altice Labs Network Intelligence

    Altice Labs’ AI-driven network intelligence solutions offer several significant advantages, particularly in the areas of network operations, efficiency, and customer experience.

    Automated Network Design and Optimization

    Automating network design and optimization minimizes capital expenditures (CapEx) and reduces the time required to create network designs from days to hours. This automation leverages AI and machine learning to plan, design, and upgrade networks efficiently, ensuring maximum capacity and reduced costs.

    Enhanced Operational Efficiency

    The NOSSIS One solution by Altice Labs uses advanced machine learning techniques, such as the ARISE module, to autonomously identify root causes of failures. This reduces analysis time by up to 90%, significantly enhancing operational efficiency and speeding up fault resolution.

    Predictive Maintenance and Fault Management

    AI-driven predictive fault management allows for the proactive identification of potential network issues, enabling operators to take preventive measures. This approach improves network reliability and reduces downtime, enhancing overall network performance and customer satisfaction.

    Cognitive Operations

    The integration of AI and machine learning in network operations shifts from a reactive to a proactive, predictive, and cognitive mode. This transition lowers operational expenditures, improves customer satisfaction, and optimizes resource utilization.

    Improved Accuracy and Decision-Making

    AI systems in Altice Labs’ solutions process vast amounts of data without human biases, leading to more accurate and consistent decision-making. This is particularly beneficial in areas such as root cause analysis and predictive fault management.

    Enhanced Customer Experience

    The NOSSIS One solution supports hybrid ecosystems, manages traditional and virtualized networks, and provides unified end-to-end processes. This ensures a seamless and efficient customer experience through automated and intelligent self-healing, self-optimization, and self-protection mechanisms.

    Disadvantages of Altice Labs Network Intelligence

    While Altice Labs’ AI-driven network intelligence offers numerous benefits, there are also some potential drawbacks to consider.

    Dependence on High-Quality Data

    AI models require high-quality, unbiased data to deliver accurate results. If the data is flawed or biased, the AI models may produce inaccurate or misleading outcomes.

    Lack of Human Judgment and Empathy

    AI systems lack human emotions and judgment, which can be a disadvantage in certain scenarios where empathy or creative problem-solving is necessary. This limitation means AI might not fully replace human decision-making in all contexts.

    Risk of Errors and Bias

    AI can amplify errors if the algorithms or data contain biases. This can lead to significant issues, especially in critical network operations where accuracy is paramount.

    Security Risks

    The use of AI can introduce new security risks, such as the potential for AI to be used in cyberattacks or the creation of deep fakes. Ensuring the security and integrity of AI systems is crucial.

    Implementation and Integration Challenges

    Implementing AI-driven solutions can be complex, especially when integrating with existing systems. This requires careful planning and execution to avoid disruptions and ensure seamless integration. By understanding these advantages and disadvantages, organizations can better assess how Altice Labs’ network intelligence solutions can benefit their operations while also being aware of the potential challenges.

    Altice Labs Network Intelligence - Comparison with Competitors



    When Comparing Altice Labs’ Network Intelligence

    When comparing Altice Labs’ Network Intelligence, particularly the NOSSIS One AIOps module with its ARISE (Autonomous Recursive Intelligent System), to other AI-driven networking tools, several key points and alternatives come into focus.



    Unique Features of Altice Labs’ NOSSIS One AIOps Module

    • The ARISE module stands out for its ability to autonomously identify root causes of network failures using advanced machine learning techniques, without the need for human-defined rules. This results in a significant reduction in analysis time, up to 90%, and enhanced operational efficiency.
    • It includes dynamic enrichment and correlation of real-time network events, heterogeneous event acquisition from various protocols (SNMP, ASCII, CORBA, etc.), and scalable microservices architecture deployable in the cloud or on-premises.
    • The module integrates with omnichannel virtual assistant tools and has an open API certified by TM Forum for alarm operation and management.


    Comparison with Competitors



    Juniper Networks AI-Native Networking Platform

    • Juniper’s platform, powered by the Mist Marvis Virtual Network Assistant (VNA), unifies campus, branch, and data center networking operations through a common AI engine. It reduces networking trouble tickets by up to 90%, OpEx by up to 85%, and incident resolution time by up to 50%.
    • Unlike Altice Labs’ ARISE, Juniper’s platform is trained on seven years of insights and data science development, providing a broader historical context for its AI-driven decisions.


    Arista Networks Etherlink AI Platforms and CloudVision

    • Arista’s CloudVision platform integrates AI for continuous network monitoring, predictive analytics, and automation of network configuration and management tasks. This platform is particularly focused on optimal network performance for demanding AI workloads.
    • While Arista’s solution is comprehensive, it may not offer the same level of autonomous root cause analysis as Altice Labs’ ARISE module.


    Cisco DNA Center

    • Cisco DNA Center uses AI to automate network operations, providing automated troubleshooting, policy management, and real-time analytics for network health. It is a powerful tool for network management but may require more human intervention compared to Altice Labs’ fully autonomous ARISE module.
    • Cisco DNA Center is highly integrated with other Cisco products, which could be an advantage for those already within the Cisco ecosystem.


    Nile AI Services Platform

    • Nile’s platform focuses on automating network design, configuration, and management with AI applications. It includes AI-based network design, automated deployment, and AI-powered monitoring and operations. This platform is more geared towards campus and branch IT infrastructures.
    • Unlike Altice Labs, Nile’s focus is broader, encompassing not just fault management but also the entire lifecycle of network design and deployment.


    Potential Alternatives

    If you are looking for alternatives that offer similar AI-driven network management capabilities, here are some options:

    • Juniper Networks AI-Native Networking Platform: Ideal for those seeking a unified AI engine across various network environments with significant reductions in trouble tickets and OpEx.
    • Arista Networks CloudVision: Suitable for environments requiring continuous monitoring and predictive analytics, especially for AI workloads.
    • Cisco DNA Center: A good choice for those already invested in the Cisco ecosystem, looking for automated network operations and real-time analytics.
    • Nile AI Services Platform: Best for enterprises needing to reimagine their network design, configuration, and management processes.

    Each of these alternatives offers unique strengths, but Altice Labs’ NOSSIS One AIOps module, with its ARISE system, stands out for its autonomous root cause analysis and significant reduction in analysis time.

    Altice Labs Network Intelligence - Frequently Asked Questions



    Frequently Asked Questions about Altice Labs’ Network Intelligence and AI-driven Products



    What is the NOSSIS One solution offered by Altice Labs?

    NOSSIS One is a next-generation Operations Support System (OSS) developed by Altice Labs. It focuses on agility, operational efficiency, and customer experience to aid in digital transformation. This solution supports hybrid ecosystems, manages both traditional and virtualized networks, and integrates services through an open and modular architecture. It utilizes a microservices architecture, cloudification, and AI/ML techniques to optimize processes and operations efficiency.

    How does the ARISE module in NOSSIS One improve network operations?

    The ARISE (Autonomous Recursive Intelligent System) module, part of the NOSSIS One platform, leverages advanced machine learning techniques to autonomously identify root causes of failures. This module operates without the need for human-defined rules, significantly enhancing operational efficiency by reducing analysis time by up to 90%. It dynamically enriches and correlates real-time network events, helping telecom operators and digital service providers optimize their operations.

    What are the key features of the Alarm Manager and ARISE modules?

    The Alarm Manager and ARISE modules in NOSSIS One include several key features:
    • Dynamic enrichment and correlation of real-time network events.
    • Heterogeneous event acquisition from various protocols (SNMP, ASCII, CORBA, POP3, HTTP, Kafka, etc.).
    • Autonomy to integrate or optimize new data sources and correlation rules.
    • Scalable microservices architecture deployable in the cloud or on-premises.
    • Integration with omnichannel virtual assistant tools.
    • Open API certified by TM Forum for alarm operation and management.


    How does Altice Labs use AI and ML in network management?

    Altice Labs uses AI and ML extensively in network management through various initiatives. For example, they employ cognitive techniques to predict access network failures, predict mobile network critical faults, and perform root cause analysis of reduced network accessibility. Additionally, AI is used in predictive fault management, cognitive call centers for pattern-based diagnostics, and cognitive infrastructure maintenance to predict anomalies in customer premises equipment.

    What benefits do telecom operators and digital service providers gain from using Altice Labs’ AI-driven solutions?

    Telecom operators and digital service providers benefit from Altice Labs’ AI-driven solutions through improved operational efficiency, faster resolution of network issues, and enhanced customer experience. The ARISE module, for instance, reduces root cause detection time significantly, saving valuable time and resources. These solutions also enable autonomous mechanisms for self-healing, self-optimization, and self-protection of services, ensuring high service availability and efficient asset usage.

    How does Altice Labs’ NOSSIS One support hybrid ecosystems?

    NOSSIS One supports hybrid ecosystems by managing and maintaining both traditional and virtualized networks in an integrated way. This includes the services supported on these networks, allowing for a unified approach to operational processes. The solution’s open and modular architecture enables the integration of various technologies and vendors, promoting operational efficiency and agility.

    What role does data science and machine learning play in Altice Labs’ network intelligence solutions?

    Data science and machine learning are central to Altice Labs’ network intelligence solutions. These technologies enable the creation of cognitive-infused service platforms that provide autonomous decision-making and advanced human decision support. They are used to predict faults, analyze root causes, optimize network operations, and enhance customer service through automated and intelligent mechanisms.

    How does Altice Labs’ cognitive approach improve predictive fault management?

    Altice Labs’ cognitive approach to predictive fault management involves using operational data and AI algorithms to predict potential faults before they occur. This approach includes the use of machine learning to correlate data from network elements, efficiently replacing human analysis and prediction. It also involves root cause analysis to promote proactive network management and predict future drops in network accessibility.

    Can Altice Labs’ solutions be integrated with other tools and systems?

    Yes, Altice Labs’ solutions, such as NOSSIS One, are designed for integration with other tools and systems. The platform supports heterogeneous event acquisition from various protocols and integrates with omnichannel virtual assistant tools. It also features an open API certified by TM Forum, facilitating seamless integration with other operational systems.

    How do Altice Labs’ AI-driven solutions impact customer experience?

    Altice Labs’ AI-driven solutions significantly enhance customer experience by ensuring high service availability, optimizing network performance, and automating service provision. The use of AI in call centers for pattern-based diagnostics and automated corrective actions, as well as in infrastructure maintenance to predict and resolve anomalies, contributes to a more reliable and responsive service experience.

    Altice Labs Network Intelligence - Conclusion and Recommendation



    Final Assessment of Altice Labs Network Intelligence

    Altice Labs has made significant strides in the development of AI-driven network intelligence tools, particularly with their NOSSIS One platform and its innovative ARISE (Autonomous Recursive Intelligent System) module.

    Key Benefits and Features



    Root Cause Analysis

    The ARISE module stands out for its ability to autonomously identify root causes of network failures using advanced machine learning techniques. This results in a substantial reduction in analysis time, up to 90%, and enhances operational efficiency.



    Real-Time Event Processing

    The Alarm Manager, part of NOSSIS One, dynamically enriches and correlates real-time network events, ensuring that only critical issues are brought to the attention of the Network Operations Center (NOC) or Security Operations Center (SOC).



    Heterogeneous Event Acquisition

    The system supports a wide range of protocols such as SNMP, ASCII, CORBA, POP3, HTTP, and Kafka, making it versatile for various network environments.



    Scalability and Flexibility

    The solution is built on a scalable microservices architecture, deployable in both cloud and on-premises environments, ensuring high availability and fault tolerance.



    Integration and Automation

    It integrates with omnichannel virtual assistant tools and has an open API certified by TM Forum, enhancing customer experience and operational automation.



    Who Would Benefit Most



    Telecom Operators and Digital Service Providers

    These entities will greatly benefit from the ARISE module and the NOSSIS One platform. It helps in optimizing operational efficiency, reducing the time spent on identifying and resolving network issues, and improving overall network performance and customer experience.



    Network and Service Operations Centers (NOC/SOC)

    Teams in these centers will appreciate the real-time monitoring and automated root cause analysis, which streamline their operations and improve service availability.



    Back Office Operational and Engineering Teams

    These teams will gain from the actionable intelligence provided by the system, enabling faster and more accurate error detection and resolution.



    Overall Recommendation

    Altice Labs’ network intelligence solutions, particularly the NOSSIS One platform with the ARISE module, are highly recommended for organizations seeking to enhance their operational efficiency and network performance. The autonomous and AI-driven capabilities of these tools make them invaluable for reducing downtime, improving customer satisfaction, and streamlining network management processes. Given the innovative use of AI and the significant benefits in terms of time and resource savings, these solutions are a strong choice for telecom operators and digital service providers aiming to stay ahead in the industry.

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