IT 1 - IT operations anomaly detection with actionable insight¶
Description¶
Use of A.I. & Analytics to identify and diagnose abnormal behavior in I.T. systems and provides actionable insights to help improve performance, reduce downtime, and optimize resource usage.
Impact¶
Enable the organization to detect and respond to I.T. infrastructure issues quickly, reducing downtime and improving system performance while reducing energy consumption and minimizing environmental impact.
Weight¶
High
Owner¶
Operations Director, Analytics Manager
Logical Component(s)¶
Name | Description |
---|---|
Connector | Connector refers to a device or software that allows different devices or systems to communicate and exchange data with each other. Connectors enable the interoperability of different devices and systems, allowing them to work together and share data over a network. |
Data Model | A data model is a way of organizing and representing data in a computer system. It defines the structure and relationships between different data pieces and serves as a blueprint for how the data will be stored and accessed. |
GHG Protocol | GHG Protocol establishes comprehensive global standardized frameworks to measure and manage greenhouse gas (GHG) emissions from private and public sector operations, value chains and mitigation actions. |
IT Optimization Services | Maximize the efficiency and sustainability of an organization's I.T. infrastructure and operations. |
Machine Learning | Machine learning is a subfield of artificial intelligence (AI) that involves the development of algorithms and models that can learn from and make predictions or decisions based on data. |
Storage | Storage refers to the physical or virtual space where data is saved and stored for later use. Storage is an essential part of any data system, enabling it to retain and access data over time. |
Sustainability Computing | Designing and implementing computer systems and applications that are environmentally sustainable and minimize their impact on the planet. |
Review Date¶
2023-09-03