Using AI to Drive Customer Clarity, Stronger Messaging, and Smarter Sales Decisions
This applied session shows how business and marketing leaders can use AI to gain customer clarity, strengthen messaging, and make smarter sales decisions. Through real-world examples and practical frameworks, attendees learn how to use AI as a strategic thinking partner, not a technical hurdle.
Industrial AI Success Stories: Because Even My Title Needed Machine Learning
See how generative AI and machine learning are transforming industrial automation through two interactive demos. You’ll walk away with practical insights, real examples, and the comforting realization that AI is great at design and production—but still can’t run a conference session without us.
Facilitated Discussion: Business Systems & Data
This session is an open, attendee-driven discussion focused on themes from the Business Systems & Data track. Facilitated by the Summit Director, it will be shaped by participant questions, experiences, and real-world challenges. Speakers will contribute, but the emphasis is on shared insights and practical applications grounded in real-world conditions.
Beyond the Chatbot: Navigating the Next AI Frontiers
Move beyond chatting with AI to actually getting work done. This session explores the latest AI frontiers: building agents, getting more out of your business data, and exploring immersive capabilities. Attendees will leave with the ability to confidently evaluate which AI capabilities are right for their business needs.
Tabular Foundation Models Meet Manufacturing: A Practical Exploration
Tabular foundation models — pretrained models that make predictions on structured data without task-specific training — have rapidly matured, yet their application in manufacturing remains largely unexplored. This talk introduces TFMs to the manufacturing AI community, demonstrates their potential through select case studies in machining and materials prediction, and discusses where they deliver value, where they fall short, and what opportunities lie ahead for industrial adoption.
Shadow AI: When Everyone Becomes a Data Leak Waiting to Happen
Shadow AI does not need a developer. An employee with a browser and a deadline is enough. Aaron Warner explains why AI adoption is already happening inside your organization without approval, where the real data leakage and compliance risks hide, and how leaders should respond strategically.
Lunch and Insight Exchange
During the networking lunch, tables will be designated by specific artificial intelligence topics. Participants are encouraged to choose a table based on their interests and engage in focused discussion with others at that table. A portion of the tables will be reserved for open conversation, allowing for more general networking without a set topic. Refer […]
Success Story #1 – Prospect Summarization in CRM using AI to Enable Sales Conversion
A case study on how LCS developed and delivered capability of a short, clear summary of prospect account generated by AI for their sales reps — pulling from notes, lead scores, and other Salesforce fields. This enables team selling and helps sales reps quickly understand where a lead is in the funnel and what actions to take next.
AI Attribute Intelligence: Automating Detection, Extraction, and Standardization at Scale
Explore an AI driven approach to detecting, extracting, and standardizing attributes from unstructured and inconsistent inputs. See a real case study where thousands of attributes were aligned across disparate contexts, cutting onboarding time and improving downstream data reliability.
AI Security Is Not a Brand: Governance, Risk, and the Reality Behind “Safe AI”
Security is not a feature you buy; it’s a system you design. This session explains why no AI platform is automatically “safe” or “unsafe,” and how governance, identity management, vendor agreements, and data controls determine real risk. Attendees will leave with a practical framework for evaluating AI tools beyond brand loyalty or fear.