By Jim Halcomb, Chief Research & Development Officer, EDM Council
Published on TDAN.com
The promise and pursuit of artificial intelligence (AI) are undeniable. AI is reshaping how organizations interact with customers, streamline operations, manage risk, and uncover insights that were previously unattainable (or at least more difficult to achieve). But amid the excitement, a hard truth remains: Without a solid foundation in data management, AI cannot deliver on its full potential. And without a workforce that understands at least conceptually how AI works, and what initiatives it is most suitable for to achieve business objectives, organizations risk falling into the trap of hype without impact.
This is where the concept of AI fluency comes into play.
SMEs, technical specialists, and coders/developers may be the ones tasked with defining and building AI models and fine-tuning algorithms, but AI fluency is about ensuring that everyone — from business executives to data stewards to staff at all levels — can understand, evaluate, and engage with AI effectively. As more organizations begin to embed AI into their strategic agendas, AI fluency is no longer a “nice-to-have.” It’s increasingly a key competency, as is effective, mature data management to drive responsible AI programs…
