The AI & Big Data Expo North America 2026 is poised to become a landmark event for enterprise technology professionals, taking place on 18–19 May 2026 at the San Jose McEnery Convention Center, California, USA. This two-day conference and exhibition offers unparalleled insights into the rapidly evolving AI and big data ecosystem, where innovation, ethics, and operational excellence converge.
As businesses increasingly harness data to drive competitive advantage, AI and big data technologies are central to transforming enterprise operations, improving decision-making, and enhancing customer experience. The Expo brings together industry leaders, innovators, and practitioners to share real-world applications, strategies, and technological breakthroughs across multiple sectors.
Why Attend AI & Big Data Expo North America 2026
The enterprise landscape is rapidly shifting. Organizations that fail to integrate AI and big data effectively risk falling behind competitors who leverage intelligent insights for strategic advantage. AI & Big Data Expo North America 2026 serves as a central hub for professionals to:
- Discover Cutting-Edge Technologies: Learn about generative AI, agentic systems, MLOps, and AI-powered edge computing solutions.
- Gain Practical Insights: Understand how AI and big data are applied in finance, healthcare, logistics, manufacturing, retail, and more.
- Network Globally: Connect with over 7,000 attendees, including CIOs, CTOs, data scientists, AI engineers, and senior executives.
- Access Co-Located Events: Explore complementary technologies such as IoT, cybersecurity, cloud computing, and digital transformation.
The event is particularly valuable for decision-makers responsible for technology strategy, AI adoption, data governance, and enterprise automation.
Key Agenda Items for 2026
The AI & Big Data Expo North America 2026 agenda focuses on high-impact topics shaping the future of enterprise intelligence:
1. Generative AI in Enterprise Solutions
Generative AI is rapidly transforming business workflows, from content creation to predictive analytics. Sessions will explore:
- Applications in enterprise productivity, marketing, and operations.
- Leveraging LLMs for automated reporting, summarization, and insights generation.
- Integration strategies with existing enterprise systems.
- Measuring ROI and operational impact.
Speakers will share real-world examples of how generative AI is accelerating innovation while reducing operational complexity.
2. Robotics and AI-Driven Automation
Robotics and AI are increasingly converging in the enterprise to automate repetitive, labor-intensive tasks. Discussions include:
- AI-powered robotic process automation (RPA) for back-office efficiency.
- Collaborative robots (cobots) in manufacturing and logistics.
- AI orchestration for dynamic, multi-step workflows.
- Human-AI collaboration to improve productivity and reduce errors.
These sessions provide actionable strategies for integrating AI and robotics into enterprise operations without disrupting existing workflows.
3. Agentic AI: Autonomous Decision-Making
Agentic AI represents the next evolution of artificial intelligence, capable of planning, decision-making, and executing workflows autonomously. Key topics include:
- Designing multi-agent architectures for enterprise operations.
- Use cases in finance, healthcare, retail, and supply chain management.
- Governance and risk management for autonomous AI agents.
- Balancing operational efficiency with ethical oversight.
Attendees will understand how agentic systems move beyond simple task execution to strategic operational support.
4. Data-Driven Decision Making
Organizations increasingly rely on big data analytics to guide strategy and optimize performance. Sessions will cover:
- Advanced analytics and predictive modeling for business outcomes.
- Implementing real-time decision-making platforms.
- Leveraging AI to identify patterns and insights in large, unstructured datasets.
- Aligning data strategy with corporate objectives.
The Expo emphasizes practical applications, showing how data can directly inform revenue growth, cost reduction, and customer engagement.
5. Cybersecurity Enhanced by AI
AI is a double-edged sword in cybersecurity: it can both defend against threats and be weaponized. Key discussions include:
- AI-driven threat detection and incident response.
- Anomaly detection in networks using machine learning.
- Protecting enterprise data in AI-enhanced environments.
- Ensuring AI systems themselves are resilient against attacks.
This segment is critical as enterprises balance innovation with robust cybersecurity practices.
6. Explainable AI (XAI) and Governance
With regulatory requirements and ethical considerations rising, explainable AI ensures transparency in automated decision-making. Sessions cover:
- Designing AI models that can be audited and interpreted.
- Compliance with global AI regulations.
- Building trust in AI for enterprise stakeholders.
- Measuring and validating AI performance ethically.
XAI helps organizations scale AI adoption while maintaining stakeholder confidence and regulatory compliance.
7. Automation in Big Data and MLOps
Automation is key to managing the volume, velocity, and variety of enterprise data. Topics include:
- Implementing MLOps pipelines for continuous AI model deployment.
- Automating data ingestion, cleansing, and feature engineering.
- Operationalizing machine learning across distributed enterprise systems.
- Monitoring and maintaining AI models for accuracy and reliability.
This approach ensures AI and big data initiatives are scalable, repeatable, and efficient.
8. Edge Computing with AI
AI and edge computing are converging to enable real-time analytics close to data sources. Sessions will explore:
- Deploying AI at the edge for low-latency applications.
- Optimizing resource allocation for distributed AI workloads.
- Integrating edge AI into IoT and enterprise networks.
- Security and data governance for edge deployments.
Edge computing expands the possibilities for AI-driven insights in real-time environments such as logistics, manufacturing, and retail.
Who Will Attend AI & Big Data Expo North America 2026?
The event draws a diverse, global audience of technology and business professionals, including:
- C-Level Executives: CIOs, CTOs, and Chief Data Officers steering enterprise AI strategy.
- Data Scientists & Analysts: Implementing AI models and deriving actionable insights.
- Innovation Leaders & Technology Managers: Driving digital transformation initiatives.
- Developers & Engineers: Designing AI, machine learning, and big data infrastructure.
- Brand Managers & Product Leaders: Using AI for personalization, marketing, and customer engagement.
- Investors & Venture Capitalists: Identifying high-potential AI and data technology opportunities.
Over 7,000 attendees from industries including finance, manufacturing, healthcare, logistics, retail, and energy are expected to join, providing a rich networking environment for knowledge exchange and business development.
Co-Located Events
Your in-person ticket also provides access to complementary co-located events:
- IoT Tech Expo: Explore connected devices and intelligent networks.
- Data Centre Expo: Learn how modern infrastructure supports AI and big data.
- Intelligent Automation Expo: Discover AI-powered process automation strategies.
- Cyber Security & Cloud Expo: Examine cybersecurity trends, compliance, and cloud-based AI deployment.
- Digital Transformation: Gain insights into integrating AI into enterprise-wide strategies.
These co-located expos offer additional cross-industry perspectives, allowing attendees to see how AI and big data solutions intersect with other technologies shaping the enterprise landscape.
Featured Speakers
The AI & Big Data Expo North America 2026 will feature over 200 industry-leading speakers from top global organizations, sharing real-world insights, case studies, and strategic guidance. Speakers include representatives from:
- Ford Motor Company – AI and analytics for smart manufacturing.
- US Bank – AI in financial services and fraud prevention.
- TikTok – Data-driven personalization and content recommendation engines.
- VISA – AI-powered payment systems and cybersecurity solutions.
- UPS – Logistics optimization with AI and predictive analytics.
- Marriott International – AI in customer experience and operational efficiency.
The sessions include keynotes, panel discussions, fireside chats, and interactive workshops, providing a complete spectrum of insights for attendees.
Why the Expo Matters
The AI & Big Data Expo North America 2026 is more than an industry showcase; it is a strategic guide for organizations seeking to harness AI and data effectively. Attendees gain knowledge to:
- Implement AI and big data initiatives at scale.
- Improve operational efficiency and reduce costs through automation.
- Ensure ethical, explainable, and secure AI adoption.
- Develop enterprise strategies aligned with the latest technological innovations.
- Network with peers, industry leaders, and solution providers to accelerate transformation.
For enterprises navigating the complexities of AI integration, big data management, and digital transformation, attending this event is essential for staying competitive.
Event Information
- Event: AI & Big Data Expo North America 2026
- Dates: 18–19 May 2026
- Time: 9:00 am – 5:00 pm
- Venue: San Jose McEnery Convention Center
- Location: San Jose, California, USA
- Website: Visit Site
Conclusion
AI & Big Data Expo North America 2026 represents a unique opportunity for technology leaders, innovators, and enterprise decision-makers to explore the frontiers of artificial intelligence, big data, and machine learning. With a comprehensive agenda, co-located events, and a global network of experts, the expo equips attendees with the insights, tools, and strategies required to drive digital transformation and achieve operational excellence.
Whether your focus is enterprise AI adoption, cybersecurity, MLOps, agentic AI, or AI-powered edge computing, this event provides actionable knowledge to enhance performance, scalability, and competitiveness in an increasingly data-driven world.
Don’t miss your chance to connect with industry leaders, explore cutting-edge technologies, and gain insights that will shape the future of enterprise intelligence.