Presenter: Ying Li, Seasoned Product Leader, Meta
Moderator: Nujhat Tasneem, Device Engineer, Intel
Abstract: This talk explores how the power of Large Language Models (LLMs) and Generative AI (GenAI) can be used effectively to enhance and elevate existing products. Drawing from the speaker’s expertise in growth, monetization, and AI, she will share actionable insights on how to integrate these advanced technologies into products that are already in the market, ultimately improving customer experiences and creating new revenue streams. Participants will learn about the impact of AI technologies on product development, the steps to incorporate LLMs and GenAI into their product strategy, and the considerations for driving adoption and monetization. I will also discuss real-world examples of AI product growth, including scaling, improving engagement, and optimizing monetization strategies.
Key Takeaways:
- Integrating AI into Existing Products: Learn how to leverage LLMs and GenAI to add value to your current product offerings without starting from scratch.
- Enhancing Customer Experience: Discover how AI can improve user interaction, personalization, and overall satisfaction in products that already have an established user base.
- Scaling and Monetization: Gain insights on using AI-driven strategies to scale your product, increase retention, and find new monetization opportunities.
Speaker’s Bio:
Bio: Dr. Ying Li is a seasoned product leader at Meta with extensive experience in building and scaling AI-driven products. As a Product Lead at Meta, Ying has led the development of transformative AI systems, including privacy-preserving frameworks, large-scale recommendation and ads systems, and AI-powered conversational platforms. Over the past seven years, Ying’s work has shaped innovative solutions in AdTech, messaging, e-commerce, and FinTech, influencing the adoption of ethical and scalable AI practices across industries. Ying’s expertise spans natural language processing (NLP), computer vision, deep learning, and reinforcement learning, with a focus on integrating these technologies to create impactful user experiences and scalable infrastructures. At Amazon, Lena drove the development of groundbreaking visual search tools, such as “Shop The Look,” setting new industry benchmarks. At Yahoo Finance, she built and launched a multi-faceted search engine and product, democratizing access to financial insights for millions of users. With a strong foundation in both technical expertise, user experience, and business acumen, Ying bridges the gap between emerging AI technologies and real-world applications, driving innovation that transforms products and industries.
Moderator’s Bio:
Nujhat Tasneem is an accomplished researcher and engineer in the semiconductor field, as well as a strong advocate for diversity in STEM. She earned her PhD in Electrical and Computer Engineering from Georgia Tech where she worked on ferroelectric based non-volatile memory devices. Through her work, she published ~30 research papers and secured a US patent. After completing her PhD, Nujhat joined Intel Corporation’s Logic Technology Development (LTD) group as a Device Engineer in 2023. At Intel, she has been instrumental in developing, evaluating, and optimizing semiconductor processes for advanced technology nodes, including Intel’s 18A and 14A. Her contributions have earned her a pending U.S. patent. and four LTD recognition awards within only 2.5 years of joining Intel. Nujhat currently resides in Oregon, USA. She loves to travel, read books and spend time with her family.
