Too many AI strategies stall in the pilot phase, delivering little more than reports and slide decks. The real challenge isn’t crafting an AI vision—it’s turning it into tangible, measurable results.
On Friday, Aug 15 at 9 AM PST, we’re hosting a results-focused session for business and technology leaders who want outcomes, not hype. This 60-minute session will give you the tools, frameworks, and metrics to move from experiments to enterprise-scale AI with clear governance and measurable business value.
Register here: bit.ly/AppliedAIAug
What you’ll learn:
- How to identify and prioritize use cases that deliver maximum business impact.
- A proven AI operating model that enables scale without chaos.
- Reference architectures that balance performance, security, and control.
- Metrics and scorecards that demonstrate business value and secure ongoing funding.
Who should attend:
CIOs, CTOs, CDOs, VPs, and Directors in Product, Operations, Finance, and Engineering—especially if you’re responsible for transformation, AI governance, or value realization.
Topics we’ll cover:
- Selecting high-leverage AI use cases.
- Choosing the right AI operating model—centralized, federated, or hybrid.
- Decision rights, funding models, and risk management in the flow of work.
- Building AI architecture and governance frameworks without bottlenecks.
- Defining a clear stack for apps, agents, data, and runtime with policy-as-code and auditability from day one.
- Embedding AI into daily workflows like SDLC, service operations, and analytics.
- Skills and capabilities needed to sustain AI adoption over time.
What you’ll take away:
- A repeatable playbook for moving from pilots to production.
- A use case prioritization scorecard.
- An AI operating model selector for your organization.
- A clear, actionable path to scaling AI safely and responsibly.
Register now: bit.ly/AppliedAIAug
From AI Pilots to Real-World Results: A Practical Blueprint
OpenAI's Open-Source Models: Why This Moment Matters
Composable Intelligence: Claude’s Sub-Agents and the Future of AI in Software Engineering
Subscribe to Signal
getting weekly insights
