Neudesic's
Intelligent Ops Accelerator
Harness AI-powered insights to transform your IT operations with enhanced efficiency and increased reliability
eBook Download:
Beyond AIOps: Understanding the Power of Intelligent Operations
eBook Download:
Beyond AIOps: Understanding the Power of Intelligent Operations
Neudesic's Intelligent Ops Accelerator is aligned with Microsoft best practices and powered by the OpenAI platform.
We empower organizations to swiftly detect issues in real time and expedite incident resolutions utilizing AI/ML models. Our accelerator automates workbooks and tasks to eliminate manual operations and supports managing ticket complexity with its ticket orchestration engine. Neudesic leverages Azure security and monitoring services to ensure seamless end-to-end visibility of infrastructure operations and application platforms. Driven by automation and artificial intelligence, our Intelligent Ops Accelerator detects and responds to security incidents promptly.
Enhanced IT Security
Through SecOps
Leverage Azure native services to enable organizations to quickly respond and remediate issues
End-to-End
Observability with AIOps
Providing a comprehensive solution to monitor and maintain complex systems while aggregating and orchestrating events across the platform
Improved Total Cost of
Ownership with FinOps
Leverage AI to gain insights into your Azure solution costs and impacts, enabling your organization to focus on innovation
Our End-to-End Approach for Intelligent Ops
Initially establishing and leveraging cloud services across one or more subscriptions without specific guidance or a strategic approach.
Entry Point: New to AIOps
Initially establishing and leveraging cloud services across one or more subscriptions without specific guidance or a strategic approach.
Instrument Everything
The initial stage of AIOPS leveraging Azure native services to initiate data collection from various services.
Baseline & Recommendations
Utilizing acquired data for decision-making and establishing operational baselines as a foundation for further growth and development.
Automation & Remediation
Automating processes identified as common patterns and tasks performed by the team to generate reports efficiently.
Intelligent Ops
Deploying an autonomous cloud platform to deliver quick resolution, rapid prototyping, and orchestration without requiring intervention from engineers.
Intelligent Ops Accelerator Attributes
Explainability
Get explanations of how AI arrived at a particular decision or recommendation.
Automated Insights
Generate insights and recommendations automatically based on the ML model outputs.
Data Ingestion
Ingest data from various sources like logs, metrics, and events.
Adaptive Remediation
Take automated or recommended actions based on insights to self-heal or optimize.
Machine Learning Actions
Apply machine learning algorithms on ingested data to detect anomalies, correlations, and predictions.