Episode

Scaling Regulated Data Workflows Without Lock‑In - with Juan Orlandini of Insight

Podcast
The AI in Business Podcast
Published
Apr 17, 2026
Duration seconds
1321
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not_requested
Canonical source
https://podcast.emerj.com/scaling-regulated-data-workflows-without-lockin-with-juan-orlandini-of-insight
Audio
https://traffic.libsyn.com/secure/techemergence/Juan_Orlandini.04.13.26.mp3?dest-id=151434
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/v1/public/podcasts/the-ai-in-business-podcast-168928/episodes/scaling-regulated-data-workflows-without-lock-in-with-juan-orlandini-of-insight
Markdown
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Summary

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