When AI projects stall or fail, most leaders assume the culprit is flawed models or immature technology. But research shows the real barrier is trust. The new Data and AI Impact Report uncovered what we call the trust dilemma: the gap between how AI is perceived and how responsibly it’s
Generative AI (GenAI) adoption is skyrocketing, but are leaders putting too much trust in it? The new Data and AI Impact Report found decision-makers trust GenAI three times as much as traditional machine learning, even though machine learning is more mathematically explainable. Just because GenAI seems trustworthy doesn’t mean it
Generative AI has stormed into the enterprise toolkit. According to the IDC Data and AI Impact Report: The Trust Imperative, commissioned by SAS, eight in ten organizations are already using it. It’s become a social phenomenon, too. Many have used GenAI tools like Copilot and ChatGPT, talked about their prompts
I've seen firsthand how companies often treat AI governance as a necessary evil – something bolted on after innovation, like installing smoke detectors in a finished building. As both a data scientist building models and an advocate pushing for responsible AI practices, I experienced this dynamic daily. The companies winning
