Question: Do you know of an AI-based platform that can analyze network data and provide detailed insights for troubleshooting and maintenance?

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NETSCOUT

If you need an AI-powered platform to process network data and offer rich insights for troubleshooting and maintenance, you might want to check out NETSCOUT. NETSCOUT can monitor and analyze data centers, clouds and networks, with options like Omnis AI Insights for automated business outcomes and Arbor DDoS Protection to keep your network available and secure. It's used by Fortune 100 companies that need to tackle complex network challenges and hybrid and multicloud environments.

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B-Yond

Another good option is B-Yond, an AI-powered platform for telecommunications operators. B-Yond automates network troubleshooting with packet-level analysis and artificial intelligence-powered root cause analysis, speeding up troubleshooting and lowering maintenance costs. It's got an A-CHAT conversational interface and a large library of network failure knowledge, so it's good for optimizing network operations and improving uptime.

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Edge Delta

If you want a more automated observability option, check out Edge Delta. The service monitors services, spots anomalies and leads you through root-cause analysis with AI-powered data analysis. Edge Delta can handle petabyte-scale log search and real-time analysis, so it's good for teams that want automated observability without a lot of setup. It's SOC 2 Type 2 Certified and a 2023 Gartner Cool Vendor in Monitoring and Observability.

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Datadog

Last, Datadog is an all-purpose monitoring and security service that offers real-time insights into performance, security and user experience. It's got a range of features, including infrastructure monitoring, application performance monitoring, synthetic monitoring and serverless monitoring, so it's good for a wide range of industries. With its many cloud provider integrations and digital experience optimization tools, Datadog lets you quickly zero in on problems and optimize systems.

Additional AI Projects

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LogicMonitor

Unifies monitoring across on-premises and multi-cloud environments, providing real-time insights and automation with AI-driven hybrid observability.

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Logz.io

Accelerate troubleshooting with AI-powered features, including chat with data, anomaly detection, and alert recommendations, to resolve issues up to three times faster.

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ThousandEyes

Provides end-to-end visibility into digital experience delivery, detecting problems with AI and automating actions in owned and unowned environments.

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Honeycomb

Combines logs and metrics into a single workflow, with AI-powered query assistance, to quickly identify and resolve problems in distributed services.

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Riverbed

Combines full-stack telemetry and AIOps to deliver exceptional digital experiences, automating remediation and providing deep IT environment insights.

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Dynatrace

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ServiceNow Cloud Observability

Uses AI to spot problems and respond to changes in cloud-native and monolithic applications, improving uptime and reducing mean time to resolution.

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Observo

Automates observability pipelines, optimizing data for 50%+ cost savings and 40% faster incident resolution with intelligent data routing and reduction.

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Lakeside Software

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Onepane

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Amdocs

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Mist

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Conviva

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Elastic

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Cisco AI Solutions

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Vectra AI

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Alteryx

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C3 AI

Access a broad range of pre-built, enterprise-scale AI applications across industries, accelerating digital transformation and delivering results in weeks.

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Digital.ai

Integrates software lifecycle management, providing predictive insights and automation to maximize business value and drive reliable software delivery.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.