Most enterprise AI use cases still aren't delivering measurable value. So what separates the projects that work from the ones that quietly disappear? For Mark Ritcey, the answer comes down to disciplined execution. AI programs need a clear business problem and an organization prepared for how the technology changes the way work gets done. In this episode of The AI Forecast, Paul Muller sits down with Mark Ritcey, Vice President of AI and Automation Delivery at Latentbridge and lecturer on AI and machine learning, to examine the decisions that shape enterprise AI success. Mark has spent more than 25 years working across technology and automation, including leading enterprise transformation initiatives in highly regulated industries. He shares what he’s seeing inside AI programs today, where teams commonly go wrong, and why structured experimentation matters as organizations figure out where AI can create real value. What separates AI success from failure, according to Mark and Paul: - Why AI projects need a clearly defined business problem - The risks of experimenting with AI for its own sake - How unrealistic expectations derail enterprise deployments - The role of governance as AI moves into production - How organizational change affects AI adoption - What CEOs and boards should consider before scaling AI His advice for leaders is refreshingly straightforward: AI transformation requires diligent, structured work. There are no shortcuts around understanding the business and building the controls required to put AI into production responsibly. Want to hear another perspective on enterprise AI adoption? Check out Ep 78 | Mastering Enterprise AI: Why Some Projects Succeed While Others Fail. *Stay in touch with Mark:* Mark on LinkedIn: https://www.linkedin.com/in/markritcey/  🔔 Like and subscribe to The AI Forecast, sponsored by Cloudera, to stay up to date on the latest episodes. You can watch the video version of this episode on The AI Forecast. https://www.youtube.com/channel/UCXY5wm6HlBL_Y_8SDxJNR0g *Links & Resources* 👉Full Series Playlist: https://www.youtube.com/playlist?list=PLe-h9HrA9qfAmGHgsmXUZgLL-T4Xjhlq8 👉Learn more: https://www.cloudera.com/resources/podcast/the-ai-forecast.html?utm_medium=social-organic&utm_source=youtube&keyplay=cross&utm_campaign=Other---FY27-GLOBAL-Always-On-Cloudera-Podcast&cid=UNGATED&utm_content=youtube-cta *🎧 Listen on your platform of choice:* Spotify: https://open.spotify.com/episode/3LRtvrdtNJISjk6kjZCt0l Apple: https://podcasts.apple.com/ie/podcast/enterprise-ai-success-what-separates-results-from-expensive/id1779293119?i=1000782912180 Chapters: 00:00 Intro: AI Success vs Failure 02:38 Connecting Tech to Business 11:00 Why 90% of AI Projects Fail 16:01 Successful Enterprise AI Cases 27:28 Can You Roll Out AI Overnight? 30:07 Non-Deterministic AI Risk 39:13 How Should Execs Start AI? *Connect with Cloudera* Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations. https://www.youtube.com/channel/UCXY5wm6HlBL_Y_8SDxJNR0g https://www.cloudera.com LinkedIn ► https://www.linkedin.com/company/cloudera Facebook ► https://www.facebook.com/cloudera/ X ► https://twitter.com/cloudera Spotify ► https://open.spotify.com/show/102S8zoZR6nmZV0HxZlxZu #TheAIForecast #EnterpriseAI #AIGovernance #AIStrategy #Cloudera #TechLeadership #techpodcast #futureofdata

 40      3