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AWS for Software Companies Podcast

Ep087: The Multi-Agent Advantage: How Sumo Logic Leverages AI for Observability

23 min • 25 mars 2025

CEO Joe Kim shares how Sumo Logic has implemented generative AI to democratize data analytics, leveraging AWS Bedrock's multi-agent capabilities to dramatically improve accuracy.

Topics Include:

  • Introduction of Joe Kim, CEO of Sumo Logic.
  • Question: Overview of Sumo Logic's products and customers?
  • Sumo Logic specializes in observability and security markets.
  • Company leverages industry-leading log management and analytics capabilities.
  • Question: How has generative AI entered this space?
  • Kim's background is in product, strategy and engineering.
  • Non-experts struggle to extract value from complex telemetry data.
  • Generative AI provides easier interface for interacting with data.
  • Question: How do you measure success of AI initiatives?
  • Focus on customer problems, not retrofitting AI everywhere.
  • Launched "Mo, the co-pilot" at AWS re:Invent.
  • Mo enables natural language queries of complex data.
  • Mo suggests visualizations and follow-up questions during incidents.
  • Question: What challenges did you face implementing AI?
  • Team knew competitors would eventually implement similar capabilities.
  • Single model approach topped out at 80% accuracy.
  • Multi-agent approach with AWS Bedrock achieved mid-90% accuracy.
  • Bedrock offered security benefits and multiple model capabilities.
  • Question: How was working with the AWS team?
  • Partnered with Bedrock team and tribe.ai for implementation.
  • Partners helped avoid pitfalls from thousands of prior projects.
  • Question: What advice for other software leaders?
  • Don't implement AI just to satisfy board pressure.
  • Identify problems without mentioning generative AI first.
  • Innovation should come from listening to customers.
  • Question: Future plans with AWS partnership?
  • Moving toward automated remediation beyond just analysis.
  • Question: Has Sumo Logic monetized generative AI?
  • Changed pricing from data ingestion to data usage.
  • New model encourages more data sharing without cost barriers.


Participants:


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