Harness the power of autonomous networks for cost reduction, revenue assurance and service availability
Communication Service Providers (CSPs) face unique challenges, including skyrocketing data volumes, complex networks, and growing customer expectations. Legacy observability toolsets and approaches can no longer keep up with the demands of modern networks. Grok empowers CSPs to address these challenges directly with a Cognitive AI Learning architecture that delivers unparalleled incident specification, incident response and incident prevention.
Manage vast multi-vendor, multi-technology networks, generating a deluge of alerts, logs, and performance metrics. Traditional monitoring tools, including bespoke Element Management Systems (EMS) and diverse data collection methods like SNMP and logs, contribute to overwhelming noise, making it challenging for operations teams to pinpoint emerging network and service issues. Grok transforms this chaotic environment into a structured, actionable system, driving incident compression and detection.
Grok employs advanced anomaly detection to swiftly identify and alert Network Operations (NetOps) teams for previously unobserved major incidents, such as power outages, fiber cuts, or misconfigurations.
By analyzing event patterns, logs, and configuration changes, Grok provides actionable insights of emerging incidents. This capability significantly reduces time to resolution, enhances visibility, and ensures streamlined communication – empowering NetOps teams to respond effectively.
Grok Incident Prevention delivers out-of-the-box predictions, specifying the likelihood of recurring issues within defined time windows, such as the next 6, or 12 or 48 hours. By analyzing historical ticket patterns and time between failures, Grok prioritizes potential incidents and enables proactive actions, including advanced triage, automated remediation before human intervention and/or notifying platform owners of impending impacts. Results are displayed in an intuitive self-prioritizing Prediction Queue, allowing IT teams to prevent business disruption.
Grok’s proactive problem identification enables IT organizations to uncover and address recurring issues while intelligently automating permanent fixes to root cause issues. Designed with platform owners and problem management teams in mind, Grok help companies achieve true proactive IT operations by integrating problem management into daily workflows.
Leveraging compelling analytics, Grok employs AI to drive continuous improvement and pinpoint problematic software versions and hardware models.
Grok demonstrates scalable performance and domain extensibility, adapting to any network environment and volume of data. Its cognitive AI Learning Architecture delivers more accuracy and achieves greater self-learning as it gets more and diverse telemetry.
With CSPs in mind, Grok offers both SaaS and on-premise options. For large CSPs, we offer hybrid models, allowing communication service providers to meet regulatory compliance by adhering to data residency and security requirements specific to their regions. Our Multitenancy features further ensures efficient management of isolated data environments for different customers, enabling CSPs to maintain compliance across diverse jurisdictions while optimizing operational scalability.
Grok is infrastructure-agnostic, seamlessly operating across on-premises, cloud, or hybrid environments without requiring changes to existing setups. With GrokOmni as a core component of its platform, Grok delivers rapid data ingestion, transformation, and integration. GrokConnect, our GUI-driven integration manager, further simplifies integration, data enrichment, data transformation and shaping across ITSM, observability, and monitoring tools.
A whitepaper on AIOps and Grok’s Cognitive AI Architecture
Discover the Transformative Power of Grok by Embedding AI into the DNA of your IT Operations.
