AI- and Data-Driven Sales
summary
Outreach explains a stack that moves from sequence-based sales automation to conversation intelligence and agentic AI, using RAG and vector DBs to fine-tune models and coach reps. The system ships a KAA knowledge assistant that decodes caller intent in under 5 ms and stores post-call data in SingleStore for instant analytics, which the vendor says reduces query latency dramatically. Outcome: real‑time prompts, drill-down to exact call snippets for coaching, and forecasts tied to conversation evidence.
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chapters (12)
- 0:00Introduction and welcome
- 1:07Abijit’s journey with data
- 2:53Outreach’s evolution and data role
- 5:21Kaa AI assistant and real-time intent
- 6:23Data and AI evolution over decades
- 8:55Future of data platforms and simplification
- 10:22Simplifying analytics for development
- 11:26CROs’ data needs and forecasting
- 13:13Reimagining workflows with generative AI
- 15:20Advice for developers and engineers
- 17:48AI in everyday life and future predictions
- 21:16Closing remarks and thanks
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