Splunk

Mellerikat for Splunk

Strengthen MLOps by combining Splunk with Mellerikat and maximize the value of your data with various solutions.

Integration

Utilize data from Splunk Enterprise to create and use various models in Mellerikat.

Needs

We want to use models specialized for enterprise data or the latest algorithms.
We need an MLOps platform that can train, deploy, and infer AI models integrated with Enterprise.

How to

Install Mellerikat for Splunk from Splunkbase and integrate the data to leverage Mellerikat.

Train

Create AI models for various AI solutions using Splunk data.

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.

Inference

Add value to your data by utilizing AI models tailored to the stored data.

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.

Features

Operate AI services more effectively by integrating Mellerikat and Splunk.

Utilize Splunk's data processing technology and Mellerikat's MLOps platform and AI solutions to operate AI services that create business value.

MLOps Platform Integrated with Splunk

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

Various AI Solutions

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

Optimal AI Service Operation

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.

" Leverage Mellerikat to extend the data stored in Splunk and create more business value. "

Need AI Services?

Consult with mellerikat experts

For detailed information on using mellerikat, please refer to the user manual.