AIOps | DataRobot AI Wiki
AIOps, short for Artificial Intelligence for IT Operations, involves applying artificial intelligence (AI) insights to IT and network operations in order to simplify and automate these functions significantly. By utilizing big data and machine learning technologies, AIOps gathers historical and real-time telemetry data from various systems and IT tools. This data is then analyzed and correlated using ML models or AI engines to detect operational issues, suggest solutions to engineers, and trigger automated responses. Ultimately, AIOps facilitates proactive and data-driven decision-making in IT operations.
One key benefit of AIOps is its ability to help IT organizations optimize resources and ensure scalability, particularly in a landscape where IT teams face a growing number of AI projects that demand extensive customization and upkeep.
The DataRobot AI Platform, an inclusive AI lifecycle platform, offers a unified environment to construct, regulate, and operate the entire landscape of generative and predictive AI. DataRobot is closely linked to AIOps in various ways.
DataRobot AI Platform and AIOps
The capabilities of the DataRobot AI Platform empower IT organizations to swiftly implement AIOps use cases through AI Experimentation and AI Production functionalities, which streamline the AI lifecycle for generative and predictive AI use cases. Leveraging advanced DataRobot capabilities, organizations can create AI use cases such as anomalous network activity detection, application downtime forecasting, network outage predictions, and infrastructure monitoring applications in a fraction of the usual time.
Moreover, DataRobot's AI Production features enable organizations to automate and enhance processes and procedures related to the management and governance of their AI infrastructure, encompassing model deployment, monitoring, and governance. With DataRobot MLOps and LLMOps features, organizations gain complete oversight of all generative and predictive AI assets in a centralized location, ensuring transparent ownership and governance.
