Ep142: Transforming ISV Businesses Through Modern Data Platforms with Coveo, DTEX Systems and Honeycomb

Three leading ISV executives from Coveo, DTEX Systems and Honeycomb, reveal how companies with proprietary datasets are gaining unbeatable competitive advantages in the AI era and share real-world strategies how you have similar outcomes.

Topics Include:

• Panel introduces three ISV leaders discussing data platform transformation for AI
• DTEX focuses on insider threats, Coveo on enterprise search, Honeycomb on observability
• Companies with proprietary datasets gain strongest competitive advantage in AI transformation
• Data gravity concept: LLMs learning from unique datasets create defensible business positions
• Coveo maintains unified enterprise index with real-time content and access rights sync
• Honeycomb enables subsecond queries for analyzing logs, traces, and metrics at scale
• Multi-tenant architectures balance shared infrastructure benefits with single-tenant data separation
• Coveo deployed 140,000 times last year using mostly multi-tenant, some single-tenant components
• DTEX scaled from thousands to hundreds of thousands endpoints after architectural transformation
• Capital One partnership taught DTEX how to break monolithic architecture into services
• Apache Iceberg and open table formats enable interoperability without data duplication
• Honeycomb built custom format following similar patterns with hot/cold storage tiers
• Business data catalogs become critical for AI agents understanding dataset context
• MCP servers allow AI systems to leverage structured cybersecurity datasets effectively
• DTEX used Cursor with their data to identify North Korean threat actors
• Real-time AI data needs balanced with costs using right models for jobs
• Caching strategies and precise context reduce expensive LLM inference calls unnecessarily
• Search remains essential for enterprise AI to prevent hallucination and access information
• ROI measurement focuses on cost reduction, analyst efficiency, and measurable business outcomes
• Key takeaway: invest in data structure early, context is king, AI is just software

Participants:

• Sebastien Paquet - Vice President of AI Strategy, Coveo
• Rajan Koo - CTO, DTEX Systems
• Patrick King - Head of Data, Honeycomb.io
• KP Bhat - Sr Solutions Architecture Leader- Analytics & AI, Amazon Web Services

Further Links:

• Coveo: Website – LinkedIn – AWS Marketplace
• DTEX Systems: Website – LinkedIn – AWS Marketplace
• Honeycomb.io: Website – .css-j9qmi7{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;font-weight:700;margin-bottom:1rem;margin-top:2.8rem;width:100%;-webkit-box-pack:start;-ms-flex-pack:start;-webkit-justify-content:start;justify-content:start;padding-left:5rem;}@media only screen and (max-width: 599px){.css-j9qmi7{padding-left:0;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;}}.css-j9qmi7 svg{fill:#27292D;}.css-j9qmi7 .eagfbvw0{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;color:#27292D;}