Coffee with Clarity: AI + Knowledge Base in Action

August 6th
7:30 AM - 8:00 AM
Online event
Registration Closed

☕ Start Your Day Smarter

4-Part Executive Briefing Series on AI + Knowledge Management

Live at 7:30 AM CT | 15 minutes + optional roundtable

Outdated knowledge systems are slowing teams down and confusing customers. In just 15 minutes, we’ll show you how AI—specifically Retrieval-Augmented Generation (RAG)—is fixing that.

Each session in this four-part series builds on the last, giving you actionable insight without the fluff. Join one or attend all four for the full story.

🔍 What You’ll Learn

  • Why traditional knowledge bases break down across teams and channels
  • How RAG AI delivers consistent, real-time answers across voice, chat, and email
  • How to use tools you already have (like SharePoint, Teams, Salesforce)—no rip-and-replace required
  • The business impact: faster onboarding, lower support costs, better self-service

🎯 Why Attend?

  • Cut through the noise – Get a clear picture of how AI transforms knowledge management
  • Real answers, fast – Stay after the 15-minute briefing for a casual Q&A with peers and EDCi experts

👥 Who Should Attend

  • Contact Center Leaders
  • IT + Knowledge Managers
  • CX + Digital Transformation Pros
  • Anyone looking to make knowledge easier to find, share, and use

📅 The Series at a Glance

All sessions start at 7:30 AM Central Time

  • Part 1: August 6thAI’s Impact on Knowledge Management
  • Part 2: September 9thEstablishing Informed Knowledge
  • Part 3: October 7thOptimizing Knowledge
  • Part 4: November 5thBoosting Results with Efficient Systems

Ready to Start Your Day Smarter?

Grab your coffee, choose your sessions, and join us.

Speaking
Jamie Gunn
Director of Microsoft Solutions, Data Center
Bio

A results-driven technology leader with deep expertise in Microsoft and Azure platforms, I specialize in delivering scalable AI and MLOps solutions tailored to the financial services industry. I've architected and deployed custom three-step MLOps pipelines on Azure—covering model training, evaluation, and deployment—to support mission-critical services accessed via secure APIs. These systems power data-driven decision-making at scale, processing millions of transactions daily with high availability and regulatory compliance. My work with Azure AI Studio and Azure AI Foundry focuses on implementing fit-for-purpose large language models (LLMs), optimized for domain-specific use cases and aligned with industry standards for accuracy, fairness, and operational performance. As an early adopter of agentic AI, I’ve led the development of intelligent, autonomous systems using the .NET Semantic Kernel—leveraging planning, orchestration, and contextual memory to enable complex, multi-step task execution. I also spearheaded the development and implementation of Model Context Protocol (MCP) capabilities, allowing applications to dynamically extend themselves with context-aware, agentic reasoning. My background includes deep integration with high-volume data environments, enabling real-time insights and compliance-ready analytics. I bring a unique blend of cloud architecture, machine learning, and applied AI expertise—translating cutting-edge technologies into meaningful business outcomes.

August 6th
7:30 AM - 8:00 AM
Online event
Registration Closed
August 6th
7:30 AM - 8:00 AM
Online event
Registration Closed