Debarag Banerjee
Chief AI and Data Officer
Aaron Gette
CIO
Srujana Kaddevarmuth
AI Leader & Group Director of Artificial Intelligence Center of Excellence
Thomas Evans
CAIO, Head of Artificial Intelligence
Ayman Khalil
Director - Data Science, Machine Learning & Analytics (Apple Services)
Vineet Kumar
Vice President, Data Science
Sai Kantabathina
Director, Data Engineering
Arthe Sampath
EVP AI Business Strategy
Natashia Tjandra
Director AI
Mike Salem
Associate Director of Data Science - Quality Assurance
Skip the application process and secure your all-access pass to the exclusive ALIGN AI Summit of your choice by registering today for $2,499. These passes are available for a limited time and will sell out!
Registration includes in-person access to all summit features including:
– All general sessions, including presentations, and executive panels
– Invitation to at least one executive roundtable
– Breakfast, lunch, and networking reception
– Exhibit Hall
ALIGN AI Summit free passes – for qualified attendees only – are highly limited and 100% free.
You may qualify if you meet all 3 criteria below:
1. Your company is not a vendor and has no sales interest in end-users of AI-related products or services
2. You work at a non-vendor organization with 5K+ employees
3. You hold a senior-level position (director-level and up)
After you complete the registration form, we will be back in touch to let you know if you have been selected.
The summit will be held at McCormick & Kuleto’s, located in the iconic Ghirardelli Square in San Francisco.
Overlooking the San Francisco Bay with views of Alcatraz and the Golden Gate Bridge, this scenic venue offers a refined atmosphere with exceptional dining, elegant interiors, and comfortable spaces ideal for executive conversations and high-impact networking.
— Agentic AI Platforms
— Enterprise AI Applications
— Copilots & Workflow Automation
— Context Engineering & Orchestration
— Model Context Protocol (MCP) & Tooling
— LLMOps / GenAIOps Platforms
— AI Evaluation & Testing
— Prompt & Context Management
— AI Observability
— AI System Monitoring & Debugging
— Data Platforms (Lakehouse, Warehouse, Hybrid)
— Data Engineering & Pipelines
— Data Quality & Data Observability
— Metadata, Lineage & Cataloging
— Unstructured Data & Content Operations
— Retrieval Systems & Vector Databases
— Enterprise Search & Knowledge Management
— Knowledge Graphs & Semantic Layers
— Context & Retrieval Optimization
— AI Infrastructure & Compute (GPU, Inference)
— Model Serving & Inference Optimization
— AI Platform Engineering
— Scalability, Latency & Performance Optimization
— AI Governance Platforms
— Model Risk Management
— AI Security (Prompt Injection, Data Leakage, etc.)
— Privacy Engineering & Data Protection
— Compliance & Regulatory Technology
— FinOps for AI
— Cost Optimization & Usage Monitoring
— AI ROI Measurement & Value Tracking
— Vendor & Model Cost Management
— Interoperability & Data Sharing
— API & Integration Platforms
— Data/AI Ecosystem Strategy
— Vendor Consolidation vs Best-of-Breed
— AI Operating Models (Centralized vs Federated)
— AI Product & Platform Teams
— Workforce AI Enablement & Literacy
— Change Management & Adoption