About This Panel
As foundation models and AI technologies become widely accessible, creating distinctive AI products is increasingly challenging. This panel explores strategies for differentiation in a commoditized landscape, including:
- Customizing AI solutions to align with brand identity
- Developing unique UI/UX and user experiences
- Leveraging domain expertise to create proprietary solutions
- Protecting intellectual property in AI implementations
- Data strategies for competitive advantage
Experts will share practical insights on maintaining a competitive edge while building on commonly available AI infrastructure, addressing a key challenge in today’s AI business landscape.
Presenters
Mingi Chung, PhD
Senior UX Researcher, Amazon Ads
Dr. Mingi Chung is a Senior UX Researcher at Amazon Ads with experience leading research across B2B and B2C domains. For the past three years, she has focused on display and CTV advertising, with expertise in both advertiser-facing and end-customer research. Her current work centers on helping product and business teams identify the right direction for new products by leveraging AI- and ML-driven solutions that create value for both businesses and customers.
Shradha Agrawal
Engineering Manager, Adobe
Shradha Agrawal is a Generative AI specialist and Engineering Leader with over 7 years at Adobe, where she has led initiatives in brand intelligence, multimodal data understanding, and generative creativity. Her work spans diffusion-based systems for personalized content, evaluation frameworks for marketing quality, and AI workflows that simplify creative processes. She is passionate about making AI a trusted collaborator that is both accessible and aligned with human needs.
Felipe Viana
Head of Applied Research, Articul8
Felipe Viana is Head of Applied Research at Articul8 AI where he is responsible for leading the research and development of GenAI-centered models and algorithms for the company. The work spans from multimodal data understanding, information and knowledge systems, multimodal modeling, frontier model development, reasoning systems, domain-specific modeling, model alignment and safety, agentic frameworks, hyper-personalization, and evaluation strategies. As a passionate researcher, Felipe has published his work on 150+ peer-reviewed articles and has been awarded several patents.
Craig Miller
Global Business Development Lead, Advertising & Marketing, Amazon AWS
Craig leads the Advertising and Marketing Industry and Solutions global team at AWS where he obsesses over customer’s advertising and marketing related innovation including AI and personalization.
Craig has been developing ad technology since the beginning of internet. From pioneering 3rd party ad serving at MatchLogic and Excite to his work on converged television advertising as Head of Product - TV Platform at Xandr (Invest and Monetize TV), Craig has been at the forefront of products and technologies that have transformed the marketing and advertising arena. Prior to Xandr, Craig was VP Engineering building the Appnexus publisher suite of products and CTO of Yieldex where he was responsible for the team developing its unique technology from founding to acquisition. Yieldex won the AWS Startup Challenge in 2008. Craig has received numerous patents based on his work in advertising, forecasting, yield, optimization, real-time bidding, and delivery pacing.