Investing in AI tools doesn’t automatically translate into business results. Organizations that get the most value know how to measure AI’s impact on engineering productivity, software delivery, and business performance.
Join AWS, Jellyfish, and N-iX for an afternoon of real-world use cases and peer discussions on how to measure AI’s impact and scale adoption in regulated environments.
What you'll take away
- How engineering intelligence helps maximize the business impact of AI investments.
- Practical approaches to measuring developer productivity and AI adoption outcomes.
- Insights from technology leaders on scaling AI across engineering organizations.
- Frameworks for connecting engineering performance with business objectives and ROI.
- Actionable strategies to accelerate software delivery while ensuring AI investments deliver measurable value.
N-iX customer use case: Scaling AI in a regulated FinTech - Raisin's journey
At 2:30 PM, Valentyn Kropov, CTO at N-iX, and Ivan Babenko, Director of Engineering at Raisin, will have a session discussing Raisin's journey to 91% AI adoption across its product and engineering organization.
They'll share what drove the adoption, how tooling and investment decisions shaped the journey, and what came next. Explore the work behind the scenes that made it possible to scale AI in a regulated environment.
Join the conversation
Alongside the sessions, you’ll have time to meet other FSI leaders and swap perspectives over lunch or coffee.
Seats are limited. View the agenda and register your interest.
