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:

• Joe Kim – Chief Executive Officer, Sumo Logic

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