Strategy, Leadership, Innovation

Generative AI is transforming how businesses operate, offering game-changing opportunities to streamline workflows, boost productivity, and fuel innovation. The controversies and challenges related to AI are all over the news. However, these concerns go far beyond catchy headlines. From bias to privacy and ethical considerations, AI is fraught with challenges.

Attend this keynote session to learn potential concerns and practical strategies for creating guidelines on the deployment of AI-based services and applications.

You will also learn:

• The value-add areas where AI decision-making technologies are likely to be most beneficial
• Which aspects of AI are most worrisome for decision makers, and sensible approaches to address them
• The latest on testing Generative AI bias and hallucinations
• Ways to approach testing and validation

Deepti Kunupudi

AI Advisor

University of San Francisco School of Management

AI adoption is accelerating, with many organizations expecting significant ROI within just a few years. Yet, data and AI leaders face mounting pressure to demonstrate immediate value from AI investments.

Join us for this panel discussion to explore proven approaches to setting success metrics, evaluating AI’s impact, and communicating ROI in ways that resonate with leadership. Gain valuable insights to position your AI strategy for measurable success.

You will learn:

• How to establish early success metrics that clearly track AI’s impact
• Practical use cases to quantify AI’s efficiency and value.
• Methods to measure AI-driven enhancements in engagement and content performance.
• How to evaluate AI costs and present ROI in leadership-focused terms

Moderator:

Binu Varghese

Vice President - Applications & Data

SpartanNash

Panelists:

Peter Henstock

Lecturer | Graduate Advanced AI & Machine Learning

Harvard

Ravi Starzl

Adjunct Professor

Carnegie Mellon University

Attend this Thought Leadership session to explore how Adobe is integrating AI into its products to boost efficiency—without compromising trust. Learn how Adobe works with industry leaders to establish responsible AI practices and governance frameworks, ensuring organizations can adopt AI securely and confidently.

Additionally, we’ll provide a behind-the-scenes look at how Adobe is implementing AI internally to enhance workforce productivity while safeguarding data integrity. Join us to explore practical strategies for leveraging AI’s full potential without compromising security or authenticity. Don’t miss this chance to stay ahead in the AI-driven future!

You will learn:

• How Adobe is integrating AI into its products to enhance productivity while ensuring security
• Best practices for managing AI adoption and maintaining authenticity across the industry
• How Adobe has implemented AI internally to streamline workflows without introducing risk

Chad Keesling

Principal Technical Marketing Manager

Adobe

AI, data-driven decision-making, and growing regulatory demands are reshaping organizations. To stay competitive, enterprises must build a trusted, well-governed data foundation that supports AI development and production. Without it, harnessing AI’s full potential remains a challenge.

Attend this session to hear how Ranjan Sinha, Ph.D., IBM Fellow, VP, and CTO, is helping shape IBM’s transformation into an AI enterprise with a trusted data and AI backbone. Learn how this approach accelerates AI adoption, streamlines operations, and enables responsible generative AI solutions—reducing cycle times, improving accessibility, and unlocking powerful insights.

You will learn:

• How to establish a trusted data foundation for AI adoption
• Strategies for accelerating AI integration into business processes
• The role of governance in responsible AI and regulatory compliance
• Practical approaches to reducing data silos and improving accessibility
• Real-world business benefits of AI-driven transformation

Ranjan Sinha, Ph.D.

IBM Fellow, VP, and CTO | watsonx | IBM Research AI

IBM

Abstract Coming Soon!