Enterprise AI for Marketing — In-Person at Adobe SJ

AI is everywhere in marketing — but how much of it is truly transforming the enterprise?

Join us for the inaugural Enterprise AI Meetup: Building & Deploying Enterprise AI for Marketing, focused on how AI moves from research into real-world enterprise systems at scale. This session brings together senior leaders, applied researchers, and practitioners to discuss what it really takes to build, deploy, and scale AI for marketing.

Seats are limited — register early!

📌 Agenda

• 6:00 - 6:20pm: Networking
• 6:20 - 6:45pm: Talk by Ram Bala (Professor, Santa Clara University)
• 6:45 - 7:30pm: Panel Discussion
  -- Moderator: Andy Narayanan (VP, Adobe)
  -- Panelists: Senior leaders from academia and industry
• 7:30 - 8:00pm: Networking

🔥 What You’ll Gain

• How leading enterprises operationalize AI beyond pilots
• What happens when cutting-edge AI meets real-world requirements
• Cross-functional perspectives from leaders in research, product, engineering, and marketing
• Dedicated networking time
• Food and drinks provided

👥 Who Should Attend

• AI leaders and researchers, product managers, engineers, marketing practitioners

🎤 Talk
Stop Automating Yesterday: Context-Aware AI for the Modern Marketing Organization - Ram Bala
- Founder & Chief AI Scientist, Samvid AI
- Professor of AI & Analytics, Santa Clara University

Most companies believe they are “doing AI in marketing.” In reality, many are repeating a familiar mistake: using a transformative technology to make yesterday’s marketing run a little faster—more emails, more variants, more dashboards—without changing how growth decisions are made. We argue that today’s AI moment mirrors the early days of electricity, when factories replaced steam with electric motors but kept the same layouts and workflows—and missed the true productivity revolution for years.

The uncomfortable truth is this: AI-enabled marketing is not the same as an AI-centered marketing. The difference isn’t the number of models you deploy—it’s whether AI can understand context: the customer’s intent, the brand’s constraints, the channel’s economics, and the business’s priorities in real time. We introduce Context-Aware AI—systems that reason over goals, guardrails, and signals across the funnel—as the missing ingredient for genuine transformation.
Through vivid examples in customer journeys, personalization at scale, and creative and B2B pipeline orchestration, we show how context-aware AI can dissolve the handoff bottlenecks between brand, growth, product, legal, and finance—reshaping coordination and ultimately how modern marketing organizations are structured and led.

👤 Speaker Bio:
Ram Bala is one of the leading thinkers on Enterprise AI Transformation and author of the Amazon bestselling book The AI-Centered Enterprise: Reshaping Organizations with Context Aware AI. He has conducted executive workshops on AI transformation for global organizations including Saudi Aramco, PayPal, and Localiza, and his work has been featured in Time, Newsweek, and The Wall Street Journal.
With a Ph.D. in Operations Research from UCLA and an undergraduate degree from IIT Bombay, Ram has led AI teams across startups, Fortune 500 companies, and non-profits. He also leads the Prometheus Lab on AI & Business at Santa Clara University.

🎙Panel Discussion:
A panel moderated by Andy Narayanan (VP, AI Experience, Adobe) featuring senior leaders working at the intersection of AI, marketing, and large-scale enterprise deployment.

What separates AI experimentation from durable enterprise transformation? The panel will share candid lessons from the field.

🤖 About the Series
This is an in-person event designed for high-quality interaction and networking. We intentionally keep attendance limited to encourage meaningful discussion. It is part of an ongoing quarterly series exploring how AI is reshaping enterprise systems across Adobe and the broader industry.

If you're building, researching, or leading AI inside the enterprise — this conversation is for you.

Seats are limited. We hope to see you there.