By putting data in the right place and reskilling our people, we created a force multiplier. We are using machine learning to significantly increase the depth and speed of our cyber intelligence.
Machine Learning Toolkit (MLTK)
Empower citizen data scientists with simple, smart assistant interfaces that deliver forecasting, outlier detection, event clustering and predictive analytics.
Smart assistants and guided workflows make putting Machine Learning (ML) to work easy.
Design and develop custom analytics in a familiar Jupyter notebooks experience with open interfaces and out-of-the-box support for the most popular frameworks.
Reference notebooks, smart assistants and new algorithms to detect outliers and forecast outages.
Get a first-of-a-kind experience designed for Search Processing Language (SPL) developers and data scientists in one simple, collaborative, easy-to-use interface.
Keep up with the latest innovations in the data science community — frameworks, libraries, runtimes and more.
Frameworks such as streaming ML have been specially designed to match the need for scale and speed for common Splunk use cases.
Manage, monitor and deploy models at scale, in production, close to where the data resides.
Bring ML to all user types including data scientists, data analysts, Splunk admin and app users, thanks to simplified, common workflows and use cases.