Clear organizational alignment and shared intelligence are the true drivers of AI success. That means enabling every stakeholder — from data practitioners to business leaders — to contribute to a unified understanding of data. But scaling AI without cultural discipline and clear contextual validation can lead to fragmented efforts and eroded user trust. As AI becomes more ubiquitous, the need to bridge the gap between technical potential and human-led decision-making is more important than ever.
In this episode, Roberto Maranca, data excellence practitioner and author of Data Excellence: How Data Leadership Can Drive Stronger Organizational Performance, joins us to discuss why successful AI adoption requires a “team sport” mindset and how leaders can rebuild trust by prioritizing clear data context and accountability.
