AI Everywhere & Vertical Intelligence
Purpose-Built AI for Real Industries
Calling founders, AI and product leaders, data and platform engineers, and risk and compliance professionals. Turn models into measurable outcomes with the right data, evaluation, and workflow integration. Join us to ship safe and reliable AI in finance, health, climate, cyber, and beyond.
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Track Overview
Designing vertical AI requires real data, robust evaluation, and trustworthy operations. This track provides concrete patterns for data strategy, retrieval and grounding, agent design and orchestration, human oversight, and cost and latency management. We will cover on-device and cloud choices, safety and bias mitigation, procurement expectations, and the ROI checkpoints to scale adoption.
Key Takeaways
- Define data partnerships, labeling, and privacy patterns that unlock value
- Implement retrieval, grounding, and structured outputs that reduce errors
- Design agents with tool use, guardrails, and human approval steps
- Evaluate for accuracy, robustness, bias and fairness, latency, and cost
- Instrument observability for drift, hallucination, and safety events
- Choose on-device or cloud based on risk, performance, and cost
- Meet buyer expectations for security, privacy, and auditability
- Prove value with pilots, then scale with change management and training
Who Should Attend?
- AI and product leaders building domain solutions
- Data, MLOps, and platform engineering teams
- Security, legal, and compliance leaders responsible for AI risk
- Buyers, partners, and solution architects in regulated industries
- Researchers, evaluators, and policymakers shaping standards
Interested in Speaking?
Shipped AI that delivers real outcomes in a vertical workflow, bring your architecture, evaluation results, and business impact to help others build responsibly.
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