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Editorial illustration for Rundown AI’s deep dive series — the go-to daily AI newsletter for 1.2M+ AI subscribers
Read full interview: https://www.therundown.ai/p/inside-metas-ai-glasses-master-plan
While processes across industries are being reshaped by AI, organizations should start off with select, tightly-scoped use cases that can deliver measurable results.
In Cloudera’s survey, operational efficiency was cited as the biggest ROI from their AI projects, but measuring impact shouldn’t stop at cost and speed. It should also account for customer/user satisfaction.
As AI adoption accelerates, so do security risks. But proactive governance, enforcing lineage, and bringing AI to the data (rather than moving data to AI) can help harness AI’s power, without compromising trust or security.
Teams can often get stuck on writing and implementing policies for enforcing security and governance compliance. But, as Gago points out, it should be baked in right from the beginning — not as an afterthought.
AI may soon be deeply embedded across most enterprises, but the journey won’t be simple. Teams must overcome barriers around integration, management, and security, and above all, focus on building trust in their systems.
Credit
Full interview by Rowan Cheung, Zach Mink & Shubham Sharma
Published by The Rundown AI