Tuesday, February 09, 2027
9:00-9:45am
Tuesday - 2/09/27
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10:00-10:45am
Tuesday - 2/09/27
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Generative AI (Room 250B)
Legacy platforms cannot be ripped out to accommodate AI; models must integrate into existing business rules, security layers, and data flows. This playbook details a workflow-first adoption methodology for high-friction enterprise tasks. Technical topics cover secure data access, retrieval grounding, IAM, prompt boundaries, and measuring ROI through adoption, accuracy, and transaction costs.
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11:00-11:45am
Tuesday - 2/09/27
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Generative AI (Room 250B)
Beyond the Chatbot: Building Practical Enterprise LLM Solutions with Real-World Data
GAI-03 Transitioning from simple conversational bots to production enterprise solutions requires grounding models in internal data. Using institutional analytics examples, this talk outlines a clear adoption roadmap covering Retrieval-Augmented Generation (RAG) fundamentals, document preparation, prompt design, and secure integration with enterprise databases and business workflows.
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12:00-12:30pm
Tuesday - 2/09/27
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1:30-2:15pm
Tuesday - 2/09/27
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Generative AI (Room 250B)
Beyond the Pilot: The Forward-Deployed Engineer Operating Model for Enterprise AI Agents
GAI-05 Moving agentic AI from proof-of-concept to production requires operational accountability. This session outlines a deployment model utilizing Forward-Deployed Engineers to transition agents into production workflows. Key topics include mapping operational workflows to tool contracts, running pre-scale evaluations, setting up human escalation protocols, and executing client handoffs.
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2:30-3:15pm
Tuesday - 2/09/27
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Generative AI (Room 250B)
Grounded in an AWS microservices architecture, this practitioner walkthrough demonstrates how to build production guardrails for automated decision systems. Learn how to draw the line between AI action and human review, engineer zero-downtime deployments, and implement decision observability to satisfy legal, regulatory, and audit requirements.
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3:30-4:00pm
Tuesday - 2/09/27
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Wednesday, February 10, 2027
9:00-9:45am
Wednesday - 2/10/27
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10:00-10:45am
Wednesday - 2/10/27
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Generative AI (Room 250B)
While application cybersecurity is well-established, governance frameworks for autonomous AI agents remain a critical gap. Drawing from financial services implementations, this session presents an end-to-end operational governance blueprint—covering risk classification models, automated approval workflows, lifecycle tracking, and regulatory compliance frameworks.
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1:30-2:15pm
Wednesday - 2/10/27
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Generative AI (Room 250B)
Moving past experimental AI requires grounding product strategy in validated customer problems. This session details how product and technology leads can identify high-value use cases, align cross-functional teams around measurable business outcomes, and scale responsible AI experiences from initial concept to enterprise-wide adoption.
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2:30-3:15pm
Wednesday - 2/10/27
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Generative AI (Room 250B)
Modern software platforms are shifting from passive analytics dashboards to proactive execution layers. Using hospitality and retail case studies, this session illustrates how event-driven agent architectures observe operational signals across staffing, inventory, and revenue to execute real-time workflows—enabling business leads to automate routine management overhead safely.
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Thursday, February 11, 2027
9:00-9:45am
Thursday - 2/11/27
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10:00-10:45am
Thursday - 2/11/27
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Generative AI (Room 250B)
Deploying customer-facing AI agents requires balancing operational efficiency with customer trust and compliance. This talk delivers a framework for evolving from basic assistants to autonomous decision-makers—focusing on human-in-the-loop safeguards, data privacy, workflow integration, and measuring business value alongside customer trust metrics.
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11:00-11:45am
Thursday - 2/11/27
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Generative AI (Room 250B)
Beyond Vanity KPIs: Governing Enterprise AI Agents through Resolution Quality, Escalation Accuracy, Customer Trust & Business Value
GAI-14 Surface-level metrics like deflection rates often mask repeat contacts and broken handoffs. This operational deep dive presents an anonymized case study on diagnosing KPI inflation traps, defining true resolution metrics, building multi-tiered KPI trees, evaluating performance via A/B holdouts, and drafting vendor accountability charters.
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