Conference Description
Key Takeaways
- Largest data and AI trade show in the South, tailored for enterprise decision-makers
- 2026 theme: “AI for Enterprise: From Pilots to Production” — operationalizing AI at scale
- Focus on systems, governance, measurable business outcomes, and responsible AI deployment
- Comprehensive agenda: AI engineering, data foundations, governance, economics, and platform strategy
- Executive-level networking, peer benchmarking, and solution discovery for large organizations
COLLIDE Data + AI Conference stands as the South’s premier gathering for enterprise data and AI leaders, bringing together decision-makers from major organizations and innovative solution providers. The event is designed to address the realities of scaling artificial intelligence from pilot projects to production environments, with a sharp focus on operational challenges, governance, and business value.
Industry Context and Event Focus
As enterprises move beyond experimentation, the conversation around AI has shifted. No longer just about building models, the focus now centers on integrating AI into core business systems, ensuring reliability, and governing these technologies responsibly. The 2026 theme, “AI for Enterprise: From Pilots to Production,” reflects this evolution, emphasizing the need for robust systems, clear governance frameworks, and demonstrable outcomes at scale.
Core Discussion Themes
The conference agenda is shaped by the operational realities facing large organizations. Sessions and panels explore:
- AI systems and application layers, including agentic AI platforms and workflow automation
- AI engineering and LLMOps, with a focus on observability, monitoring, and debugging
- Data foundations: platforms, pipelines, quality, and metadata management
- Knowledge and retrieval systems such as vector databases and knowledge graphs
- AI infrastructure: compute, inference, and scalability challenges
- Governance, risk, and security — from runtime governance to privacy and compliance
- AI economics: ROI, cost management, and FinOps strategies
- Platform strategy, integration, and interoperability
- Enterprise adoption models, workforce enablement, and change management
Audience and Industry Relevance
The event is tailored for senior executives and technical leaders from large enterprises, particularly those responsible for data science, engineering, analytics, governance, and digital transformation. Attendees represent Fortune 500 companies and industry leaders in finance, retail, telecom, logistics, and manufacturing. The focus is on organizations with the scale and complexity to move AI from isolated pilots to fully operationalized, governed systems.
Operational Challenges and Solutions
Scaling AI in production environments brings a unique set of challenges. The conference addresses:
- Building reliable, observable AI systems
- Operationalizing governance, risk, and compliance
- Demonstrating ROI and managing costs in AI initiatives
- Establishing robust data foundations for AI readiness
- Preparing organizations and workforces for widespread AI adoption
Event Experience and Format
Held at the Sandy Springs Performing Arts Center in Atlanta, the conference offers a blend of general sessions, focused breakouts, panels, and roundtables. The exhibit hall features leading technology providers, while networking receptions and a private app facilitate peer engagement and partnership opportunities. The experience is designed for hands-on learning and executive-level dialogue, with a strong emphasis on practical insights and community building.
Notable Sponsors and Technologies
Industry leaders such as IBM, Snorkel AI, Aerospike, Informatica, SAS, Google Cloud, and others support the event, reflecting the breadth of technologies and solutions on display. Topics span LLMOps, GenAIOps, vector databases, knowledge graphs, and AI governance platforms, offering attendees a comprehensive view of the current enterprise AI landscape.
Positioning and Commercial Intent
COLLIDE positions itself as the essential forum for operationalizing AI in large organizations. The event is structured to foster networking, lead generation, education, and thought leadership, connecting enterprise buyers with solution providers and enabling peer benchmarking at scale. The recurring message is clear: enterprise AI is now a systems, governance, and value conversation, not just a technical one.