Source: thenewstack.io
Defining AI: Add Machine Learning into Your Production EnvironmentCategory: Data, Infrastructure, firewall, machine-learning, artificial-intelligence
Over the past several years, there’s been a great deal of discussion and debate about Artificial Intelligence (AI). Decades of research has led to the commercialization of products that incorporate some form of AI, but the purpose, utility and quality of AI used varies greatly. AI-washing is selling products or services as containing AI, when all they have are inflexible, “fixed intelligence” algorithms.
Anomaly detection is absolutely critical to today’s IT operations because it is impossible for any human to process the telemetry (for example: log files, user behavior, binary executables) that comes off of even a single computer in real-time, let alone data from organizations with thousands of employees.
AIOps uses build machine to process the input from one or more anomaly detection algorithms in order to quickly determine the root cause of problems with IT infrastructure.
Anomaly detection is absolutely critical to today’s IT operations because it is impossible for any human to process the telemetry (for example: log files, user behavior, binary executables) that comes off of even a single computer in real-time, let alone data from organizations with thousands of employees.
AIOps uses build machine to process the input from one or more anomaly detection algorithms in order to quickly determine the root cause of problems with IT infrastructure.
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