Angela Peat is a results-driven technology strategist with nearly two decades of experience helping organizations navigate complex tech adoption challenges. Combining expertise in Product Management, Design Thinking, and Agile methodologies, Angela has successfully guided start-ups, Fortune 500 companies, government agencies, non-profits, universities, and credit unions through transformative technology initiatives. Her work spans four continents, reflecting a global perspective and adaptability that drives impactful outcomes across industries.

As co-founder and servant leader of Delve Collective, Angela is passionate about democratizing high-end technology consulting services, making them accessible to credit unions, non-profits, and small businesses. Her deep understanding of tech implementation—paired with her commitment to ethical use and strategic alignment— led her to creating the Credit Union Round Table: Age of AI. Over the past year, Delve has led this free AI event series for the credit union industry, equipping organizations with actionable strategies to harness Artificial Intelligence and a safe place to learn.

Angela also dedicates 5-10% of her time to mentoring within the tech and small business community, fostering connections that drive economic growth and innovation. Whether working with CTOs or front-line staff, Angela’s collaborative approach ensures every organization she partners with is empowered to thrive in an increasingly digital world.

Successful people are not magically certain; they are better at making smart bets in an uncertain world. They blend emotion, intuition, and evidence—but they are deliberate about the kind of data they trust and how they use it. In an era where AI is reshaping work and flooding us with dashboards, reports, and alerts, the real advantage is no longer “having data,” but knowing which data matters, when to use it, and how not to let it erode trust.

This session explores how leaders can move beyond gut-only decisions and “data theater” to a more honest, resilient practice of decision-making. You’ll learn how to distinguish signal from noise, recognize when data is misleading, and bring qualitative insight and human judgment into the mix—especially as AI tools make analysis faster but not necessarily wiser. Drawing on the fundamentals of archery—where success requires preparing your stance, aiming at the right target, and executing with precision—we’ll explore how to ready yourself and your team for change, aim at the right goals with the right evidence, and execute through small, well-structured experiments that turn every decision into a learning opportunity. You’ll leave with concrete questions, tools, and mental models to use data the way successful people do: as a powerful ally, not a false promise of certainty.