What drives AI and data leaders—and what’s holding them back? This survey reveals key insights into their goals, frustrations, and what CEOs must do to support and retain them.
Despite the buzz, many CEOs still misjudge what it takes to build a successful AI capability. Hiring a few data scientists or buying an AI tool isn’t enough. This blog breaks down four persistent myths—like thinking AI is plug-and-play or that it replaces people—and offers practical takeaways for executives who want to move beyond hype and create real impact with AI talent.
What Top AI and Data Leaders Really Want? What’s holding them back? From craving strategic influence and innovation, to battling talent shortages and organizational silos, their answers highlight clear priorities for CEOs: support, recognition, and room to grow.
As AI becomes mission-critical, it’s no longer enough to treat it as an IT experiment. This article breaks down why having a senior AI leader—like a CAIO—at the executive table is essential for strategic alignment, risk management, and long-term competitiveness in the AI era.
As AI moves from experiment to enterprise priority, companies are rethinking their org charts. Should you appoint a Chief AI Officer, expand the CDO’s role, or keep AI under IT? This guide explores how to structure AI leadership based on your business goals, maturity, and need for cross-functional alignment.
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