Webinar Description
Key Takeaways
- Technical webinar covering data federation, tiering and AI readiness within Splunk environments
- Live demonstration of Cisco Data Fabric powered by Splunk
- Addresses federated search across Amazon S3, Snowflake, Azure Blob, Databricks and AWS CloudWatch Lake
- Designed for data engineers, platform specialists and technology leaders in enterprise organisations
- Covers no-code agent building, AI Toolkit integration and data governance practices
About the Event
This Splunk Platform Tech Talk, titled “Land, Tier, Federate, Activate: Make Your Machine Data AI-Ready in Splunk,” focuses on preparing enterprise machine data for AI deployment. Led by Splunk platform specialists, the virtual session includes a live demonstration of Cisco Data Fabric and addresses practical challenges in data management, federation and correlation at scale.
Data Federation and Platform Integration
The session covers federated search capabilities across multiple cloud platforms, including Amazon S3, Snowflake, Azure Blob, Databricks and AWS CloudWatch Lake. Attendees will learn approaches to data tiering using Machine Data Lake and techniques for onboarding machine data from diverse on-premises and cloud environments.
AI Readiness and Data Transformation
The technical content addresses data transformation for AI initiatives, including catalog discovery and cross-domain signal connection. The demonstration covers no-code agent building through Agent Launchpad, AI Toolkit functionality and integration with third-party AI tools via MCP. Governance frameworks for AI agent deployment are also discussed.
Who Should Attend
This webinar targets IT and data platform specialists, data engineers and architects, and security, IT and network analysts working in enterprise environments. Technology leaders evaluating approaches to machine data management for AI and analytics initiatives will find the session relevant, particularly those working with or considering Splunk, Cisco Data Fabric or large-scale cloud data platforms.