Many AI pilots fail because outputs aren't trusted. Archana Choudhary explains how advanced prompting reduces inconsistency and surfaces better business decisions.
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The debate over AI ownership is evolving beyond IT vs. business.
Christine Park argues the real answer is shared accountability without creating an AI bottleneck. Read more: spr.ly/6011BGvhUh#FoundryExpert#AILeadership
The AI race is focusing too much on models and not enough on systems. Dheeraj Pandey argues that enterprise AI succeeds when architecture, memory, permissions, and context work together.
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AI is automating more technical work, but it is also exposing a leadership gap. Kyle Elliott argues that the future belongs to CIOs who can navigate conflict, alignment, and tough conversations.
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AI leaders are under pressure to prove value, not just adoption. Douglas Laney explores why behavioral data may reveal more about AI impact than traditional metrics.
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AI adoption is accelerating, but not every employee is on board. Jay Miller explores what happens when workers push back and leaders must decide how to respond.
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Many AI rollouts stall for the same reason: organizations start with their top performers. Bruno Guicardi argues that the better strategy may be starting with teams that have the most to gain. Read more: spr.ly/6018BGUCIq#FoundryExpert#AI
The tech talent gap starts earlier than many leaders realize. Michael Bertha highlights how Billy-Joe Lafortune and Girls Talk Tech have reached 7,000+ students by showing young women what a future in STEM can look like. Read more: spr.ly/6019BGUNIS#FoundryExpert#WomenInTech