AI Vision is moving from experimentation to enterprise-scale impact. Leading organizations are no longer asking if they should deploy AI Vision, but how to do it in a way that delivers real decisions, measurable value, and long-term scalability.
In this session, The ABC of AI Vision, we share real-world insights drawn from organizations that have already deployed AI Vision across sites, regions, and functions. From blue-chip enterprises to industry leaders and fast-moving challengers, these teams have navigated the technical, organizational, and operational realities of making AI Vision work in production.
Success doesn’t come from models alone. It depends on a pragmatic path: identifying high-impact use cases, designing the right architecture, aligning Ops, IT, and the business, and building solutions that scale securely and responsibly. Just as importantly, it requires avoiding the common pitfalls that slow teams down or stall pilots before they deliver value.
In this practical session, we share key elements of our enterprise AI Vision playbook, benchmarks from real-world deployments across various industries, and guidance from practitioners who have successfully implemented these solutions. The goal: help you move faster, make better decisions, and avoid lessons others have already learned the hard way.
What you’ll learn
- Enterprise lessons learned: What successful AI Vision deployments have in common and where teams most often stumble.
- Use-case prioritization: How leading organizations choose where AI Vision delivers value first, and what to defer.
- From vision to decisions: Turning visual data into actions, workflows, and measurable business outcomes.
- Architecture patterns: What works at scale; edge vs. cloud, multi-site deployments, and integrating with existing systems.
- Operational readiness: Data, security, governance, and cross-functional ownership required for enterprise rollout.
- Scaling responsibly: Designing for privacy, trust, and compliance from day one.
- What’s next: The evolution of industrial intelligence and what it means beyond today’s AI Vision use cases.
Who should attend
- Operations, manufacturing, and plant leaders
- HSE, quality, and continuous improvement teams
- Innovation and digital transformation leaders
- IT, security, and data governance stakeholders
- Enterprise architects and technology decision-makers
- Anyone responsible for scaling AI from pilot to production
Join us
Expect a fast-moving, practical session grounded in real examples, not theory. You’ll leave with a clearer understanding of what it takes to deploy AI Vision at enterprise scale and how to turn vision into actionable decisions.
Bring your questions: we’ll tailor the discussion and Q&A to your industry and challenges.