Investing in AI tools doesn't automatically translate into business outcomes. The organizations getting the most value measure how AI impacts engineering productivity, software delivery, and business performance.
How do you know whether your AI investments are actually delivering results – or where they're creating the greatest impact?
Join AWS, Jellyfish, and N-iX to explore how leaders are using engineering intelligence and data-driven insights to accelerate AI adoption, improve developer productivity, optimize software delivery, and connect engineering performance to measurable business outcomes.
What you'll take away
- How to measure whether AI tools are actually improving engineering output — which metrics matter, which mislead
- What 91% AI adoption looks like in practice: how Raisin got there in a regulated environment, and what it changed for the business
- A way to trace engineering performance to business results, so AI spend can be defended in ROI terms
- What to fix in your data and tooling before scaling AI beyond pilot teams
- Direct comparison notes from technology leaders working through the same rollout decisions
Scaling AI In a Regulated FinTech: Raisin's Journey
Valentyn Kropov, CTO at N-iX, will lead a panel with Raisin, our client that reached 91% AI adoption across its product and engineering organization. Explore the tooling and investment decisions, the mistakes, what adoption changed for the business, and the platform work that came after. All within the constraints of a regulated environment.
Join fellow FSI leaders
Seats are limited. Register your interest.
