.svg)
A new mantra is gaining momentum in the race to adopt enterprise AI: 'go slow to go fast.' It might sound counterintuitive, but a closer look at the emerging strategy reveals an increasingly familiar theme, and one that many industry experts already accept as gospel truth. For advanced AI deployment to be successful, a solid foundation is key.
To learn more, we spoke with Kevin Shuler, Owner and CEO of Quandary Consulting Group, where he leads a team of low-code experts specialized in scaling businesses by improving systems and workflows with AI. Having spent most of his career at the intersection of business operations and IT, Shuler has developed a uniquely pragmatic view on the topic of technological change.
Digital transformation on steroids: From Shuler's perspective, AI is simply the next evolution of a challenge business leaders have already faced for decades. Only now, the stakes are higher and the speed is faster. "This is the next phase of digital transformation on steroids. Most of the limitations are related to process and data, as well as understanding hallucinations. Mistakes are inevitable, which means all AI outputs still need to be validated."
Instead of giving organizations a pass to skip the hard work, AI makes that foundation more critical than ever, Shuler said. Ironically, in the age of automation, success is most often found in the unglamorous discipline of process rigor and data hygiene.
More governance, not less: Shuler identified foundational challenges like data formatting and cleansing prerequisites as holding AI back. Following governance and security protocols is critical now more than ever, he said. "If you're sharing proprietary information with large models that aren't yours, that's no different than leaking it to the press. For public companies, that means even more scrutiny to avoid accidentally using public tools on a personal account."
