Various AI Solutions

Utilize verified AI content across various industries or build AI solutions based on the latest algorithms from papers or Hugging Face.Freely create and use AI solutions tailored to the data accumulated in Splunk Enterprise. Use domain-specific modeling or the latest research techniques aligned with the ALO Framework to utilize AI solutions. Utilizing AI content allows you to create AI solutions more easily by tuning parameters to the data.

Data for AI Model Training

Select data for AI model training from Enterprise using the "katdataset" SPL command.Install Mellerikat for Splunk to use the katdataset command. This command functions to send searched data from Enterprise to a storage accessible by Edge Conductor. By periodically sending data for training to Edge Conductor, new AI models trained on the latest data can be automatically utilized.

Optimal AI Model Training

Set appropriate parameters and use optimal resources to train AI models suited to the data.Edge Conductor allows simple parameter settings for training and inference. Create AI models by setting parameters that deliver the best performance based on the data. Also, choose the computing environment for training to train and operate models with minimal resources.

Prepare for Utilization by Deploying AI Models to Edge Apps

Deploy learned models to Edge Apps to prepare for use.Edge Apps can be installed in various environments such as cloud, on-premises servers, and local PCs, as well as on Splunk Edge Hub. Deploy AI models from Edge Conductor to the installed Edge Apps to prepare for enterprise use. Easily use various AI solution models by training and deploying through Edge Conductor.

Utilize AI Models in Splunk Enterprise

Instantly see AI model inference results on Enterprise data using the "katinference" SPL command.Install Mellerikat for Splunk to use the katinference command. This command operates by sending searched data from Enterprise to a storage accessible by Edge Apps for AI model inference and returning the results. Directly add AI model inference results to Indexer data to create business value. Operate solutions such as Part Similarity Analysis, Optimal Demand Forecasting, and B2B Sales Intelligence, and utilize specialized engines that reflect domain knowledge for optimal solutions tailored to the stored data.

Expand Splunk Edge Hub

Install Edge Apps on Splunk Edge Hub to utilize various AI models on devices.Transform data collection devices into on-device AI machines by installing Edge Apps and deploying AI models on Splunk Edge Hub. Apply anomaly diagnostic AI solutions to data collected from sensors to detect complex surrounding environments or perform predictive maintenance, and connect to cameras for vision inspection.

Easily integrate Splunk data with Mellerikat by simply installing the Mellerikat for Splunk app to build MLOps.

Easily create AI solutions tailored to data stored in Splunk and customize AI content for immediate use.

Create and deploy models using optimal parameters and training infrastructure tailored to the data. Continuously operate the best services through retraining and solution updates when performance degrades.