Speakers:
Beyond Language: How Predictive AI Translates Input into Insight
Date:
Wednesday, June 4, 2025
Time:
10:00 am
Room:
Deer Valley
Summary:
Emily Smith shares her journey from media mix modeling analyst to AI entrepreneur, revealing how the most effective AI systems—predictive or generative—solve the same problem: translating messy human input into structured business decisions. Drawing on experience with Fortune 500 analytics, enterprise MarTech, and her SMS-based data collection platform, she connects automation-first business model design with the classic Stages of Automation framework (Parasuraman et al., 2000). Emily will show how AI moves information from Human → Schema → Insight → Decision → Action, driving measurable ROI across industries.
You’ll learn how and when to apply three orchestration principles for turning standalone AI tools into scalable systems: (1) structuring complex logic, (2) validating outputs, and (3) making systems callable across workflows. This session is ideal for data scientists and analytics leaders who want to build AI architectures that business teams actually use—and trust.
Speakers:
Integrating 3D Graphics and Machine Learning: Unlocking Predictive Insights and Business Value
Date:
Wednesday, June 4, 2025
Time:
10:25 am
Summary:
In this session, you will explore how the integration of 3D graphics and machine learning can unlock new predictive insights and drive tangible business outcomes. Preetish will dive into real-world examples where AI-powered models enhance visual data processing, optimize operations, and deliver impactful results across industries such as gaming, AR/VR, and simulation. Attendees will learn how advanced machine learning techniques, coupled with 3D graphics engines, can transform complex data into actionable insights, leading to improved decision-making and operational efficiency.
This talk will be particularly valuable for those interested in the intersection of graphics and AI, showcasing innovative approaches to predictive analytics and their business impact.