Conference Description
What the event is about:
COLLIDE Data + AI Conference is the South’s largest data and AI trade show, designed for decision-makers from major enterprises and leading-edge solution providers. The event’s core focus is on building the foundations of the AI-driven era by connecting enterprise data and AI leaders to scale and govern AI responsibly. The 2026 theme, “AI for Enterprise: From Pilots to Production,” emphasizes moving beyond experimentation to operationalizing AI at scale, with a strong focus on systems, governance, and measurable business outcomes. The event features presentations, panels, roundtables, and networking opportunities, aiming to address the realities of deploying AI in large organizations, including system reliability, governance, economics, and foundational data infrastructure.
Subject Matter:
Main topics include:
– AI systems and application layer (agentic AI platforms, workflow automation, context engineering)
– AI engineering, LLMOps, and evaluation (observability, monitoring, debugging)
– Data foundations and engineering (data platforms, pipelines, quality, metadata)
– Knowledge and retrieval systems (vector databases, knowledge graphs)
– AI infrastructure and performance (compute, inference, scalability)
– Governance, risk, and security (runtime governance, privacy, compliance)
– AI economics and optimization (ROI, cost management, FinOps)
– Platform strategy and integration (interoperability, API platforms)
– Enterprise adoption and operating models (workforce enablement, change management)
Niche:
Enterprise AI systems, governance, and operationalization—specifically for large organizations moving AI from pilot projects to production environments.
Target Audience:
The event targets senior-level executives and technical leaders from non-vendor organizations with 250+ employees. Likely job titles include VP/Director/Head of Data Science, Data Engineering, AI, Analytics, Data Governance, IT, and Digital Transformation. Attendees are from Fortune 500 companies and large enterprises across industries such as finance, retail, telecom, logistics, and manufacturing.
Problems the Event Helps Solve:
– Scaling AI from pilot to production
– Ensuring AI system reliability and observability
– Operationalizing governance, risk, and compliance
– Demonstrating AI ROI and managing costs
– Building AI-ready data foundations
– Addressing organizational and workforce readiness for AI adoption
Commercial Intent Signals:
The event is focused on networking, lead generation, education, thought leadership, procurement, partnerships, and community building. There is a strong emphasis on connecting enterprise buyers with solution providers and fostering peer benchmarking and collaboration.
Key Messaging & Positioning:
Recurring themes include “AI for Enterprise: From Pilots to Production,” “Enterprise AI is no longer a model conversation. It is a systems, governance, and value conversation,” and “Scale and govern AI responsibly at scale.” The event positions itself as the essential gathering for operationalizing AI in large organizations.
Sponsors / Vendors / Technologies Mentioned:
Notable sponsors and vendors include IBM, Snorkel AI, Aerospike, Informatica, SAS, Google Cloud, Quest, Grid Dynamics, Plotly, Elder Research, Analytic Vizion, SnapLogic, KMS Technology, Nanonets, HumanSignal, Lambda, Syncari, Fivetran, OvalEdge, Sigma Computing, Matillion, SparkBeyond, Lumi AI, Xcelore, and others. Technologies referenced include LLMOps, GenAIOps, vector databases, knowledge graphs, and AI governance platforms.
Format & Experience:
The event is in-person, held at the Sandy Springs Performing Arts Center in Atlanta. It features general and breakout sessions, panels, roundtables, an exhibit hall, networking receptions, and a private networking app. The experience is executive-level, hands-on, and focused on peer engagement.
Final Classification:
– Event Category: Enterprise AI & Data Conference
– Primary Audience: Senior data, AI, and technology leaders from large enterprises
– Primary Problem Solved: Operationalizing, scaling, and governing AI systems in production environments
– Commercial Goal of the Event: Networking, lead generation, education, and thought leadership for enterprise AI adoption
– 5 relevant keywords: Enterprise AI, AI Governance, Data Engineering, LLMOps, AI Operationalization