11-11-2026
Analysis has never been faster to produce or harder to turn into action. As AI accelerates how quickly teams generate data and insight, the skill that now sets apart analysts goes beyond finding the answer. It is getting leadership to act on it.
That challenge is the focus of “Analytics in the Age of AI,” a Daniels School webinar offered by MSBAIM alum Alejandro Brillembourg Cuenca, a senior consultant at a corporate services company. Brillembourg Cuenca drew on his work building analytics platforms and translating complex data into executive decisions across commercial and public-sector organizations.
The session explores how to frame insights into the forms that leaders find most useful for decision making: dollars, hours and risk. Translating complex data into action requires designing the story around the decision rather than the analysis. Brillembourg Cuenca also addresses how to deliver uncomfortable or contrarian findings to leadership without losing buy-in.
As AI reshapes analytics, those communication and judgment skills remain central to turning insight into action.
“As AI continues to reshape the work, make sure that we continue to hone some of the most human skills, and allow for that human-in-the-loop process,” urges Brillembourg Cuenca.
That means enhancing human work and embedding AI where it does its best work, using automation to create room for higher-level thinking. It also means continuing to exercise “our judgment, our framing, and our understanding of incentives, which is what endures.”
The session closes with open questions about where analytics work is heading and what automation means for the workforce. As AI reshapes both, the discussion considers what happens as we keep optimizing more of what we do — and how to preserve the human judgment that helps turn faster analysis into better decisions.
