Businesses capture millions of conversations daily, sales calls, support interactions and compliance discussions, yet most of this intelligence remains locked away. Standard dashboards and predefined reports cannot address every customer's unique questions. Dubber, a world leader in conversation capture and intelligence, built Insight Agent on AWS, enabling users to ask bespoke, natural language questions across conversations and structured data to receive context-aware answers in seconds. Learn how Dubber innovated from static dashboards to surfacing business value moments, and now to agentic AI that compresses time to value, making conversation intelligence accessible, scalable and viable.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Insight Agent on AWS. Natural language queries across captured conversations + structured data. Replaces static dashboards.
Why it matters
Dashboard-centric BI can't answer custom questions. Agentic interfaces can.
The hard parts
Conversation data is sensitive — compliance, privacy, retention rules. Access controls per conversation type matter.
Playbook moves
(1) Define data access tiers (internal / customer / regulated). (2) Apply at retrieval time, not at agent layer. (3) Build retention-aware querying.
The surprise
The biggest unlock from natural-language BI isn't asking *new* questions — it's the *speed* of asking questions. When questions are cheap, hypothesis-testing changes. Teams stop deferring to "I'll check the dashboard" and start exploring. That cultural shift is the actual ROI.
---
Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
Live updates related to this session LIVE
Sourced via Parallel AI Monitor — continuous web watch on 21 topical streams. Updated .
- businesswire.com high confidence Multi-agent collaboration patterns
ZoomInfo Introduces Agent Teams, Powered by the ...
ZoomInfo announced Agent Teams, a multi-agent orchestration product built on DoubleO.ai. Specialized agents have distinct roles, instructions, and tools; they share context from prior steps and use real-time evaluation of the current record state to choose the next action. The us
- openai.com high confidence Browser-use / computer-use agents
Ringg's AI agents resolve up to 65% of customer calls with ...
On September 23, 2026, Ringg announced that it is developing browser agents using OpenAI’s computer-use capabilities. The planned agents target platform onboarding, Know Your Customer (KYC) processes, IT troubleshooting, on-call incident support, and claims processing. Ringg is a
- sg.finance.yahoo.com Scaling infra for agent workloads
CoreWeave to Offer NVIDIA Vera, the First CPU Built for AI ...
CoreWeave announced that NVIDIA Vera CPU rack-scale systems, designed for demanding agentic AI workloads, would be available on its cloud. The system places 128 CPUs and 11,264 cores in a rack, a new compute-capacity option relevant to scaling agent-native workloads.
- mongodb.com high confidence Agent-native data infrastructure
MongoDB Launches Atlas Agent Engine to Put AI Agents in Production Without a New Stack | MongoDB
MongoDB launched Atlas Agent Engine, a unified platform built on MongoDB Atlas for designing, deploying, and governing production AI agents without requiring a separate infrastructure stack. It combines agent execution, memory, and retrieval using MongoDB native retrieval and Voy
- camunda.com high confidence Decision lineage & audit trails for agents
Increase AI Agent Trust: Stop Stitching Logs to Explain an ...
Camunda announced real-time AI-agent observability in Camunda 8.10. Its Operate interface shows each agent’s current state, active tool calls, model and token usage, guardrail limits, full conversation history, and the reasoning behind tool choices. The same process-instance reco
External links matched to this session via topic relevance. The KB does not endorse third-party content; verify before citing.