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Topics for submission are listed here: https://hasgeek.com/fifthelephant/enterprise-ai-in-production/
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Aviral Tuteja Streaming AI Dashboards in Production: From Enterprise Data to Live Agent-Generated WidgetsDescription Most enterprise AI demos stop at a polished chat response. This demo goes one step further: an AI assistant receives a natural-language business question, gathers relevant enterprise CRM context, and turns the answer into a live dashboard-style widget inside the conversation. The widget is not a static mockup or a pre-built report; it is generated from retrieved business data, streame… more
Submission type: Live demos (15 mins)
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Anirud Incident to Root Cause: Oodle's AI-Native Debugging in ActionA live demonstration of AI-native debugging using Oodle. Starting from real alerts in a Kubernetes cluster running AI features, I will show how we use Oodle to instrument and debug: all without leaving Cursor / Claude Code. more
Submission type: Live demos (15 mins)
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sooraj shankar The Memory Layer Production Agents Need: Inspectable, Governed, DurableProduction AI agents need more than retrieval and a larger context window. Once an agent starts returning to the same user, acting on company data, and carrying context across sessions, memory becomes production state. That state needs boundaries: what is personal to a user, what is shared across the organization, who can change it, and how teams can inspect what happened when the agent behaves u… more
Submission type: Anchor talk (30 mins)
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Joshua Thomas When AI Grades the Humans: Lessons from a Healthcare Trust Layer in ProductionMost AI evaluation frameworks assume the AI is the actor being judged. In production healthcare, we inverted this: AI became the primary evaluator of healthcare providers against quality criteria defined by a US virtual health system. CogniSwitch deployed a Trust Layer that ingests doctor-patient conversations, mines them against medical ontologies and customer-defined QA criteria, and produces a… more
Submission type: Lightning talks (10 mins)
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