Anuj Bindal

GM and Director, Visual Shopping Amazon

Anuj Bindal is the General manager for Visual shopping at Amazon. Anuj is a leading expert in AI with over 20 years of experience, and has made a significant impact on billions of users daily through his work in cutting-edge AI systems. At Amazon, he leads the Visual Shopping team at Amazon, where his team utilizes generative AI and multimodal LLMs to revolutionize the shopping experience across all stages - inspiring discovery, facilitating informed purchase decisions, and driving conversions. Previously, Anuj held several AI leadership roles at Google, Meta and Microsoft.

During his time at Google, Anuj led the teams that vastly improved search functionalities within Google Workspace apps, used by billions globally. He also led Ads optimization teams at Google, managing AI systems processing hundreds of billions in ad revenue. His innovations significantly enhanced ad spend optimization and contributed to Google's Search Ads revenue growth. At Meta, his work involved user intent understanding and extracting meaningful information from entities using advanced graph analysis, natural language processing, and AI. Before Meta, Anuj spent a decade at Microsoft solving some of the hardest Ads relevance problems that significantly increased Ads revenue and helped turn Microsoft's online services business profitable. Anuj also invests and advises startups in AI and crypto. Anuj graduated from prestigious Indian Institute of Technology, Delhi with a specialization in computer science and algorithms,

Generative AI Week 2025 Day One Conference: Tuesday, November 11 2025

11:10 AM Panel Discussion: Tangible Steps Towards Agentic AI for Transformational Enterprise Success

As enterprises push beyond static AI models, agentic AI is emerging as a key driver of autonomous decision-making and adaptive workflows. These AI systems go beyond execution—they perceive, plan, and act dynamically within complex business environments. This panel will explore how enterprises can architect, deploy, and scale agentic AI to unlock new efficiencies and innovation.

Architecting agentic AI: Frameworks, orchestration strategies, and multi-agent collaboration.
Integrating LLM-powered agents with enterprise data systems and APIs.
Designing guardrails for reliability, interpretability, and compliance.
Optimizing feedback loops: Reinforcement learning, retrieval-augmented generation, and self-improvement mechanisms.
Scaling agentic AI across the enterprise: Infrastructure, compute considerations, and cost-efficiency.

2:35 PM Presentation: Optimizing GenAI in Virtual Shopping with Knowledge Distillation – Reducing Inference Costs Without Sacrificing Performance

Knowledge distillation offers a powerful technique to transfer knowledge from large models to smaller, more efficient ones - reducing computational demands while maintaining strong performance. Anuj Bindal presents how Amazon is leveraging knowledge distillation to optimize AI inference, enabling cost-effective, high-speed AI applications for customers at scale.

Understanding how knowledge distillation reduces model size while preserving accuracy.
Distilling large language and vision models without performance loss.
Balancing inference efficiency with output quality in Generative AI applications.
Implementing distillation in enterprise AI workflows for real-time and batch processing.

Check out the incredible speaker line-up to see who will be joining Anuj.

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