Apr 17, 2026
Legacy financial systems often trap organizations in "data
swamps" where AI is mistakenly treated as a magic fix for
fundamentally broken manual architectures. In this episode, Juan
Orlandini, CTO of North America at Insight, outlines why senior
executives must distinguish between statistical AI outputs and the
mathematical precision required for financial compliance to avoid
significant reporting risks. The conversation provides a roadmap
for building a scalable operating layer by prioritizing data
engineering and leveraging established vendor knowledge to protect
long-term investment. This episode is sponsored by K1x. Learn how
brands work with Emerj and other Emerj Media options at https://go.emerj.com/partner