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INOC Launches Advanced Ops 3.0 Platform at Metro Connect 2024, Showcasing Transformative AIOps and ITSM Capabilities for Network Operations
CIO Review
INOC, an ITsavvy company and global leader in 24×7 Network Operations Center (NOC) services, proudly announced today the introduction of its Ops 3.0 platform at Metro Connect 2024. This platform marks a significant milestone in the evolution of NOC operations and service, delivering an unparalleled combination of automation, efficiency, and visibility into network operations.
NORTHBROOK, Ill., Feb. 26, 2024 /PRNewswire-PRWeb/ -- INOC, an ITsavvy company and global leader in 24×7 Network Operations Center (NOC) services, proudly announced today the introduction of its Ops 3.0 platform at Metro Connect 2024. This platform marks a significant milestone in the evolution of NOC operations and service, delivering an unparalleled combination of automation, efficiency, and visibility into network operations.
Core Innovation: The AIOps Engine
Central to the Ops 3.0 platform is its cutting-edge AIOps engine, which employs machine learning and automation to dramatically enhance incident management within the NOC. Among other capabilities, this technology strategically prioritizes incidents by immediately evaluating the business impact and the severity of alarms, ensuring that critical issues receive immediate attention.
Integrated with INOC's Configuration Management Database (CMDB), this AIOps engine correlates alarms and generates incident tickets while also identifying and automatically resolving transient incidents that do not require significant intervention. This advancement significantly streamlines operations by reducing the volume of tickets engineers must manually address. Tickets that do require attention are automatically associated with and enriched by relevant data from the CMDB, equipping engineers with comprehensive information to expedite resolution.
Through a diligent onboarding process that gathers critical data points to populate the CMDB and enable these efficiencies, INOC ensures that each client's IT environment is accurately mapped within the platform, leading to dramatically more effective and informed NOC service delivery soon after going live.
In addition to better reacting to issues when they occur, the Ops 3.0 platform also anticipates them through advanced trend and pattern analysis. The platform uses historical and real-time data to identify potential issues, allowing engineers to address the early signs of problems before they materialize as incidents. This includes predicting traffic congestion, detecting unusual activity that may indicate a security threat, and identifying infrastructure components at risk of failure.
"With Ops 3.0, we're leveraging our unique position in the NOC services industry to bring machine learning and automation directly into the NOC operations environment," said INOC President, Prasad Ravi. "We can finally harness and act on the vast amount of data generated in today's infrastructure environments, marrying this insight with automation to augment and even take over tasks traditionally managed by engineers. We're already measuring the outcome in significantly faster and more proactive response rates—and thus, happier customers and end-users. We're not talking about marginal improvements; we're fundamentally changing how networks are monitored and managed, significantly reducing human effort in the process."
Integration and Visibility Enhancements
The platform integrates with many widely used Network Monitoring Systems (NMSs) and IT Service Management (ITSM) tools. This integration enables clients to immediately inherit INOC's advanced automation capabilities, facilitating a smoother transition of monitoring responsibilities and enhancing workflow automation without requiring clients to develop these capabilities independently.
The Structured NOC
Supporting the Ops 3.0 platform is INOC's operational framework, the Structured NOC, which simplifies communication and strategically channels support activities to their appropriate tiers, thereby minimizing high-tier support activities by 60% to 90%. The framework integrates secure connectivity, advanced alarm analysis with autocorrelation for incident prioritization, critical incident response, advanced incident management for swift diagnosis and troubleshooting, and efficient support request handling through a service desk. It also includes client and customer communication for updates and escalations, supported by a client experience management team that oversees onboarding, change management, project management, and quality assurance.
Extending AI-enabled Capabilities: Conversational and Ticket-Assist AI
Furthering INOC and ITsavvy's commitment to applying AI to enhance IT operations is a successful ongoing partnership with a major AI service provider to bring machine learning, particularly generative AI, into the help desk. This partnership has led to the deployment of an advanced chatbot capable of deflection and resolution assistance to reduce manual attention in addressing known issues. The chatbot, by leveraging a comprehensive knowledge base, offers end users immediate, actionable guidance for resolving break-fix issues and other support inquiries, significantly reducing help desk call volumes.
At the heart of this initiative is a dual-focus strategy: providing guidance for self-resolution and assisting human ticket agents with data-driven recommendations to expedite issue resolution. This approach not only enhances the end-user experience by offering quicker resolutions but also optimizes IT support workflows, leading to a notable 30% ticket deflection rate. Each interaction enhances the system's understanding, allowing for more accurate and efficient resolutions over time. Such efficiency gains underscore the practical deployment of AI to streamline IT operations, reflecting a shift towards more proactive and predictive service models.
"Applying machine learning and automation extends beyond immediate problem-solving," said ITsavvy's CTO, Milind Shah. "It represents our larger vision of becoming an AI-enabled technology solutions provider. We're not just improving operational efficiencies; we're redefining the standards of IT service management and network operations to deliver superior IT services and set new benchmarks for the industry by embedding AI into our core practices."
Demonstrating Real-World Impact
The Ops 3.0 platform has already achieved significant outcomes for INOC's clients, including:
• A 30% auto-resolution rate for a leading network OEM, reducing major escalations and streamlining the onboarding of over 800 customers.
• A reduction in NOC support onboarding time from 6 weeks to 1 week for AT&T Business, significantly decreasing site escalations.
• Enhancements in Adtran's NOC service offering, leading to a 26% reduction in time-to-ticket and a 50% reduction in time-to-resolution.
• For Aqua Comms, updated runbooks and a professional services catalog adjustment resulted in a 20% reduction in ticket volume and a 5-minute SLO from alarm detection to ticket creation.
• SHI experienced a 10x decrease in average MTTR, underscoring the platform's ability to alleviate support burdens and improve resolution times.
"Transitioning from our 2.0 to the 3.0 platform marks a pivotal moment for INOC and the broader digital infrastructure sector," INOC's Prasad Ravi said. "Previously, alerting clients about network issues required manual effort. Now, with our 3.0 platform, this, like other processes, is appropriately automated, significantly reducing human effort and improving the performance metrics that matter most. This leap forward is more than technological; it's a testament to our commitment to excellence and innovation in network operations that have spanned over 20 years. We're not just addressing today's challenges; we're also setting new standards for tomorrow, ensuring our clients lead in an era of rapid and accelerating technological advancement."
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Technical information in manufacturing and IT organizations needs to be accurate, readily accessible and simple to update. Documentation, operating instructions, service advice and system information regarding products may change as processes and technologies change. A CCMS for manufacturing and IT organizations provides a structured method for content creation, management, and distribution from a single source. Structured content management can contribute to smoother workflows and more consistent technical communication by cutting down on duplicate documentation and ensuring a better grasp of content revisions.
Structured Content Gains Importance across Manufacturing and IT
Manufacturing organizations are increasingly focusing on structured technical documentation in a connected production environment. Operational processes must be consistent with equipment instructions, maintenance procedures and product information. Component-based authoring enables the storage of frequently-used information in a central place and its reuse in multiple documents. Approved content may be updated without having to rewrite each publication separately.
A clear need exists for IT organizations engaged in software, infrastructure, and support. Documentation should be created for various audiences, including developers, administrators, service staff, and users. A structured content environment enables common information to be reused for multiple outputs without losing any of the core technical information. This improved structure also enables the easy retention of knowledge over changing systems and processes.
Technical information is moving away from traditional documents, and multichannel publishing is becoming more relevant. Content can be provided via knowledge portals, digital manuals, support apps and web interfaces. A centralized content model means that teams can manage content once and publish it via appropriate channels. With the improved reuse, duplication is minimised and it assists in ensuring that the organizations have a consistent supply of approved information.
"A structured content environment enables common information to be reused for multiple outputs without losing any of the core technical information. This improved structure also enables the easy retention of knowledge over changing systems and processes."
Another factor to be considered when the content repository grows in size is searchability. Users frequently require a particular procedure or technical instruction instead of a whole document. Relevant information could be easier to find because of Metadata, controlled terminology and structured classification. This can help employees find guidance within the operational workflows, which can save search time.
Improving Content Accuracy through Practical Solutions
Having several copies of the same information may lead to confusion and misunderstanding in multi-department or multi-facility teams. Any changes in one publication are not necessarily reflected in related publications. The solution is centralized version control and content components that can be reused, where shared information is maintained from a controlled source. Changes that have been approved are then automatically cascaded through appropriate outputs without having to be manually edited again.
Another area where content approval can get tricky is when technical content needs to be reviewed by subject matter experts, editors, and quality control teams. Informal communication can be the source of unclear responsibilities. Review tasks can be set to a configurable workflow, and approvals can be recorded, and a content changes history can be maintained. A defined process enables accountability and allows documents to flow through the correct checks and balances.
Large repositories also pose a challenge as valuable information becomes hard to access when it is not organized in a coherent way. Product, equipment, application or user role can be linked to information via metadata standards, taxonomies and contextual search. Improved classification provides staff a straight path to relevant guidance rather than having to search manually.
There must be close coordination to keep documentation in sync with any changes in operations. Manufacturing specifications may change if products or equipment are changed, and IT documentation may require changes after system configuration changes. Using content analysis tools with relevant products, systems, or processes may be useful in identifying documentation impacted by changes to operations. Review workflows can then be used to direct revisions prior to the dissemination of revised information to users.
Advancements Creating Greater Value for Stakeholders
Content lifecycle management is also being aided by automation. Systems can initiate review requests, route the content for review and determine what content needs attention. Automated notifications eliminate manual follow-up and offer greater transparency over documentation status. Technical teams can ensure that content is of high quality with less effort spent on basic administration through better lifecycle control.
Another area for development includes the delivery of personalized content. Different users may need different technical information based on their role, equipment or system access. Structured content makes it possible to combine relevant content elements to form specific content output with a shared source. Task-specific instructions may be provided to the maintenance personnel, and more detailed technical information can be provided to engineering personnel.
Good integration with operational systems can help to make documentation more useful in the workflows performed daily. Instructions can be linked to equipment details in manufacturing environments and knowledge articles to service requests or system information in IT environments. Content is more easily accessible with activity guides.
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Market Shifts in Automated Data Protection
The market is progressing towards security platforms that can secure information across multiple environments and not just one repository at a time. Cloud storage, databases, applications and endpoints are frequently deployed under varying configurations, leading to the creation of varied and difficult-to-manage security controls.
Automated discovery tools can search through data stores and mark and organize records based on profiles. Improved classification enables more effective controls to be implemented at higher risk locations, and less significant restrictions to be imposed on routine business information.
Access control systems are also getting smarter. Static permissions can continue to be in effect when employees move to a different role or when they no longer need to access certain information. Automated systems can audit user roles and access activity, and modify permissions based on set policies. Behavioral monitoring takes it further by spotting unusual logon times or file access, which can indicate unusual activity. These controls can enable organizations to keep access at the right level without the security teams having to go through each change in permissions.
Data loss prevention is increasingly linked to automated monitoring. Security systems can monitor data transfers over email, cloud storage and endpoints and compare activity to organizational policies. If a transfer is made that conveys sensitive information, it can be subject to further verification, it can limit movement, or be the subject of an alert for review. Sensitive data can also be automatically encrypted, ensuring it is protected properly at all times, in all places, and across all storage types. With distributed data, consistency can be maintained with centralized policy enforcement.
Security Challenges and Practical Solutions
Security alerts can cause stress for security teams, and it may be harder to identify important events when there are a lot of alerts. An automated risk scoring offers a practical answer and assesses events based on data sensitivity, access history and user behavior. Regular activities may continue following established rules, but those with higher risk levels may be subject to investigation. In cases where there is not enough context in the message or an automated response may impact legitimate business activity, human review can still be valuable.
"An automated risk scoring offers a practical answer and assesses events based on data sensitivity, access history and user behavior."
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Advancing Capabilities and Stakeholder Value
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