Combine machine and human intelligence to quickly identify the true source of problems.
Automatically surface accurate solutions to problems you didn’t even know you had.
Easily share and automate runbook knowledge to train machines and make people more productive.
Watch a 30 second overview of SignifAI’s machine intelligence platform
I think there is enormous upside to applying machine learning techniques to our system monitoring events. Correlating different events across components and time is like a tedious game of memory. A purpose built Machine Learning system should be able to suggest correlations out of the box. The best part will be freeing our developers to focus on solutions rather than reacting to problems.
Uptime is obviously mission critical to our organization. Machine intelligence gives us the ability to avoid downtime by pointing to potential issues that could affect our customers ahead of time. This is a big step towards working proactively vs reactively to fix problems.
Teams can surface relevant solutions faster by combining machine intelligence with human expertise.
At LinkedIn, leveraging machine intelligence is increasingly becoming a requirement to derive the appropriate insight when monitoring and alerting at our scale.
We’ve made it easy to get started. In less than 20 mins you’ll have an integrated dashboard for all your tools, populated with insights, automatically.