TECH TALKS

Splunk Observability for AI

On-Demand

Ensuring your AI application stack is resilient, responsible, and secure with agentic, AI observability

AI is a great enabler. It has led to rapid efficiencies across industries and functions, workflow automation, and more “vibe coding.” However, AI itself needs oversight. Vector databases, AI frameworks and libraries, and other layers are now included in the infrastructure stack. The non-deterministic and generative behavior of LLMs (and the AI agents and AI-enabled applications leveraging them) can lead to outputs in response to user and system prompts with frequent inaccuracies, biases, and fallacies.

In this Tech Talk, we’ll show you how Splunk’s agentic, AI observability delivers end-to-end visibility of the entire AI stack, from agents and large language models (LLMs) to the underlying infrastructure. You’ll see how AI Infrastructure Monitoring provides teams with data-dense dashboards and detectors for surfacing trends, patterns, and outliers to correlate application health with underlying AI infrastructure performance.

We’ll also highlight how AI Agent Monitoring, integrated with Cisco AI Defense, enables proactive detection of agentic guardrail violations. This integration helps ensure that LLM and agent-based applications remain reliable, safe, and effective in production. Attendees will gain insight into monitoring user and agent conversations, along with automated evaluations for bias, toxicity, hallucinations, sentiment, and relevance—providing the robust observability needed for continuous improvement and risk mitigation in AI-driven systems.

Discover how Splunk can help increase customer trust, boost end-user experiences, and decrease costs.

In this session, you will learn how:

  • Splunk’s agentic, AI-powered observability ties business context to telemetry, turning insights into improved reliability and reduced toil
  • To monitor the quality, accuracy, security, and cost of LLM and agentic applications ​to ensure they are operating as intended
  • To pinpoint noisy neighbors and troubleshoot issues of resource contention and unmet workload demands to respond to performance threats, degradations, and inefficiencies in real-time

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Time Place Details
10:00am - 10:55am Expo Hall Meet and greet in the lobby outside the Expo Hall before the General Assembly.
11:00am - 11:55am Rm 314 Expert Track: TOP 10 WAYS TO MAKE A DIFFERENCE IN THE INDUSTRY | John Dough, CFO Marketizingly
11:00am - 11:55am Rm 159 Social Track: MODERN NETWORKING | Hosted by: SponsorName

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Our Speakers

Joe deBlaquiere

Joe deBlaquiere

Principal Product Manager,
Splunk

Joe deBlaquiere believes great software starts with listening to customers and understanding how the solutions delivered by product teams drive success for companies and individuals. Drawing on two decades of experience as a product manager, he works to ensure that customers, both large and small, can optimize solutions for their teams and environments.

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Bob Ni

Bob Ni

Product Manager,
Splunk

Bob is currently a product manager for Splunk APM. Prior to joining Splunk, Bob helped companies build data science centers of excellence. Bob holds an MBA and a Masters in Electrical Engineering and Computer Science from the University of California- Berkeley, and Bachelors from the University of Chicago.

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Kashyap Merchant

Kashyap Merchant

Leader, Product Management,
Splunk

Kashyap Merchant is Product Management Leader at Splunk, driving strategy, product innovation and Go-To-Market for AI, Applications and Data Observability and Security solutions. With over 20 years of experience, he has held key leadership roles across F5, Cisco, Calix, and Good Technology. Kashyap specializes in bringing innovative products to market across AI, Data, Security and Mobile helping drive customer impact and business growth. He holds an M.Sc. in Computer Science from the University of Southern California and a B.Eng. in Electronics Engineering from the University of Mumbai. Kashyap is also a holder of four U.S. patents.

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