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

Generative AI has the potential to introduce big changes into businesses, but a lot of companies struggle when choosing the right applications to drive value. In this panel discussion, Argyle is convening a group of experienced AI leaders for a candid discussion of how real businesses are using AI to lower costs in real life, without doing damage to their brands and customer relationships.

We’ll move past the low-hanging fruit and introduce creative and innovative ideas for using AI to lower your costs.

You will also learn:

• Ways to work with your employees to cut costs and maintain solid relationships
• How to keep hallucinations and bias out of your AI-powered cost cutting
• What AI can and can’t do to help you use your resources more efficiently

Moderator:

Tolgay Kizilelma, PhD

Director of MS in Cybersecurity Program

Dominican University of California

Panelists:

Sravan Kasarla

Former Chief Data Officer

Thrivent | Fidelity

Chris Zimmerman

Head of IT

Leading Midwest Retail Chain

Attend this Fireside Chat 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!