Best AI Development Platforms for Splunk User Behavior Analytics
View:
Compare the Top AI Development Platforms that integrate with Splunk User Behavior Analytics as of August 2025
Sort By:
This a list of AI Development platforms that integrate with Splunk User Behavior Analytics. Use the filters on the left to add additional filters for products that have integrations with Splunk User Behavior Analytics. View the products that work with Splunk User Behavior Analytics in the table below.
What are AI Development Platforms for Splunk User Behavior Analytics?
AI development platforms are tools that enable developers to build, manage, and deploy AI applications. These platforms provide the necessary infrastructure for the development of AI models, such as access to data sets and computing resources. They can also help facilitate the integration of data sources or be used to create workflows for managing machine learning algorithms. Finally, these platforms provide an environment for deploying models into production systems so they can be used by end users. Compare and read user reviews of the best AI Development platforms for Splunk User Behavior Analytics currently available using the table below. This list is updated regularly.
-
1
Amazon SageMaker
Amazon
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers. -
2
Amazon Augmented AI (A2I)
Amazon
Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers. Many machine learning applications require humans to review low confidence predictions to ensure the results are correct. For example, extracting information from scanned mortgage application forms can require human review in some cases due to low-quality scans or poor handwriting. But building human review systems can be time consuming and expensive because it involves implementing complex processes or “workflows”, writing custom software to manage review tasks and results, and in many cases, managing large groups of reviewers.
- Previous
- You're on page 1
- Next