Contributor
Jackie Casanova is a technology leader, author, and certified mindful meditation practitioner with over 20 years of experience across project management, process improvement, business analysis, and quality assurance, working within complex, fast-changing organizational environments. Her career has evolved alongside technology itself, from the Y2K and dot-com era, through the rise of APIs and platform-driven systems, and now into the age of AI.
Known for her thoughtful, energetic, hands-on approach, Jackie specializes in guiding complex initiatives from idea to execution, helping organizations navigate data, technology, and change with clarity and intention. As the author of “Don’t Do Stupid Sh*t: My Brutally Honest Guide to Figuring Life Out”, she brings a candid, grounded perspective to both her writing and leadership, blending real-world experience with mindfulness, curiosity, and a focus on meaningful impact.
After decades in IT project management and business analysis, one truth has stayed constant: when AI projects fail, it’s rarely the AI’s fault. The real culprit often hides in plain sight—the data warehouse. Many organizations build smart models on shaky foundations, expecting transformation without first ensuring their data is consistent, trusted, and ready for decision-making.
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