As AI agents, intelligent automation, and data-driven systems reshape industries, attending the right conferences in 2026 can give your business a decisive edge. From autonomous AI agents and GenAI workflows to enterprise automation and advanced analytics, these events bring together innovators, decision-makers, and builders shaping the future.
Below is a curated list of the Top 10 AI Agent, Automation & Data Conferences in the USA to Attend in 2026, specially selected for founders, CTOs, AI product teams, and enterprise leaders.
CES 2026 (AI & Automation Track)
Date: January 6–9, 2026
Location: Las Vegas, NV
Host: Consumer Technology Association
Audience: Tech innovators, startups, enterprise leaders
Entry Price: Starts at ~$350
Why Attend?
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Global stage for AI, robotics, and automation innovation
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Exposure to cutting-edge AI agent applications across industries
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Massive networking opportunities with investors and partners
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Ideal for spotting future AI automation trends
Gartner Data & Analytics Summit 2026
Date: March 9-11, 2026
Location: Orlando, FL
Host: Gartner
Audience: CIOs, data leaders, enterprise architects
Entry Price: Starts at ~ $4,175
Why Attend?
Premium event focused on data strategy, AI governance, and analytics maturity
Insights on AI-driven decision intelligence and automation at enterprise scale
Exclusive Gartner research and analyst-led sessions
Best for senior leaders shaping long-term AI and data roadmaps
Google Cloud Next 2026
Date: April 22–24, 2026
Location: Las Vegas, NV
Host: Google Cloud
Audience: Cloud architects, AI developers, data engineers
Entry Price: Starts at ~ $999
Why Attend?
Deep coverage of Generative AI, AI agents, and data platforms
Hands-on labs and real production use cases
Insights into Google’s AI models and agent tooling
Excellent for teams building cloud-native AI automation
MLSys 2026
Date: May 17-22, 2026
Location: Bellevue, WA
Host: MLSys
Audience: ML engineers, AI researchers, platform architects
Entry Price: Starts at ~ $900
Why Attend?
Focus on scalable machine learning systems
Critical for building production-grade AI automation platforms
Sessions on model deployment, infrastructure, and performance
Strong academic + industry collaboration
AI & Big Data Expo North America 2026
Date: May 18-19,2026
Location: San Jose McEnery Convention Center, CA
Host: TechEx
Audience: Data scientists, AI engineers, automation leaders
Entry Price: Free (Expo Pass), Paid Conference Pass available
Why Attend?
Covers AI, machine learning, data engineering, automation, and analytics
Dedicated tracks for AI strategy, data platforms, and intelligent automation
Strong vendor ecosystem showcasing AI tools and platforms
Ideal for discovering new AI agent frameworks and data solutions
Snowflake Summit 2026
Date: June 1–4, 2026
Location: Moscone Center, 747 Howard St., San Francisco, CA, USA
Host: Snowflake
Audience: Data architects, engineers, analysts, developers, BI/AI leaders
Entry Price: Registration opens Jan 2026; early notification recommended
Why Attend?
Explores the intersection of data, AI, analytics, and modern application development
Features keynotes, training labs, and certification opportunities focused on Snowflake’s Data Cloud moscone.com
Covers mission-critical topics like data engineering, governance, security, and ML workflows Snowflake
Ideal for professionals looking to unlock value from data and AI at scale
MLcon San Diego 2026
Date: June 1–5, 2026
Location: Hyatt Regency La Jolla at Aventine, San Diego, CA, USA (On-site + Online)
Host: MLcon
Audience: Machine Learning Engineers, AI Developers, Data Scientists, MLOps Practitioners
Entry Price: Start at ~ $539
Why Attend?
Explores how machine learning and generative AI are built, deployed, and scaled in real-world systems
In-depth sessions on LLMOps, MLOps, model lifecycle management, and AI reliability
Practical insights from engineers who are running AI systems in production
Perfect for teams looking to turn experimental models into robust AI-driven products
Databricks Data + AI Summit 2026
Date: June 15–18, 2026
Location: Moscone Center, San Francisco, CA, USA
Host: Databricks
Audience: Data engineers, ML/AI practitioners, analytics leaders, cloud architects
Entry Price: Early-bird & tiered passes (varies; typical data & AI summit pricing)
Why Attend?
Brings together data engineering, analytics, and AI strategy under one roof
Deep dives into Lakehouse architecture, unified data + AI pipelines, and modern ML workflows
Hands-on sessions on MLops, data governance, AI deployments, and GenAI use cases
Ideal for learning the latest production techniques for enterprise AI and data platforms
AI4 2026 — America’s Largest AI Conference
Date: August 4–6, 2026
Location: the venetian, las vegas
Host: AI4
Audience: Enterprise AI leaders, founders, automation strategists
Entry Price: Start at ~ $1,395
Why Attend?
One of the biggest AI industry conferences in North America
Heavy focus on enterprise AI, AI agents, and intelligent automation
Real-world case studies from Fortune 500 companies
Excellent networking with C-level AI decision-makers
The AI Conference 2026
Date: Sept 30 – Oct 1, 2026
Location: SAN FRANCISCO
Host: The AI Conference
Audience: AI engineers, startup founders, product leaders
Entry Price: Start at ~ $899
Why Attend?
Deep technical sessions on LLMs, AI agents, and GenAI workflows
Strong startup and developer community
Focus on building production-ready AI systems
Ideal for teams creating AI-powered products
Oracle AI World 2026
Date: October 26-29, 2026
Location: Las Vegas, NV
Host: Oracle
Audience: Enterprise IT, data & automation teams
Entry Price: Start at ~ $1,500
Why Attend?
Enterprise-focused AI, automation, and analytics conference
Emphasis on AI agents embedded in business workflows
Live demos across ERP, CX, and automation platforms
Best for large organizations adopting AI at scale
Microsoft Ignite 2026
Date: November 17–20, 2026
Location: San Francisco, Moscone Center
Host: Microsoft
Audience: Enterprise developers, IT leaders, AI teams
Entry Price: Start at ~ $1,200
Why Attend?
Strong focus on Copilot, AI agents, and enterprise automation
Deep Azure, data, and AI integration sessions
Real-world AI transformation case studies
Ideal for Microsoft-centric AI ecosystems
