{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5cd2c5f7a6620c474d62a136/6992a8ba7301331f1f2c5438?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Achieving AI Success: A Pragmatic Focus on Outcomes Over Hype","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/5cd2c5f7a6620c474d62a136/1771217440104-ba5142f1-6bbe-4fe7-a060-d0ced5d83ef6.jpeg?height=200","description":"<p>In this week’s One Vision Podcast, we welcome back <a href=\"https://www.linkedin.com/in/smangaraj/\" rel=\"noopener noreferrer\" target=\"_blank\">Sandeep Mangaraj</a>, now co-founder of Aileron Group, to discuss lessons from building a company in a crowded AI market and why AI success is more about people and process than technology.&nbsp;</p><p><br></p><p>The conversation covers executives rushing into GenAI due to FOMO, the importance of starting with desired outcomes rather than applying GenAI everywhere, and why mid-market institutions may benefit from faster time-to-decision, less technical debt, and faster learning cycles.&nbsp;</p><p><br></p><p>The key question is whether firms can afford the downside of waiting. And the answer is increasingly: No.</p><p><br></p><p><br></p><p>00:00 Welcome Back: Meet Sandeep Mangaraj&nbsp;</p><p>00:55 Building Aileron: Lessons From a Crowded AI Market</p><p>03:49 The AI ROI Myth: What’s Actually Being Measured?</p><p>05:28 FOMO vs Outcomes: Picking the Right AI Use Cases</p><p>10:09 Falling Costs &amp; Speed of Learning</p><p>12:40 Who Owns AI Outcomes and Who’s Accountable When It Breaks?</p><p>14:55 Third-Party Risk: Regulators, Vendors, and Dependencies</p><p>19:51 “Can You Afford to Wait?”</p><p>23:02 Closing: Act With Purpose in 2026</p><p><br></p><p>Hot take:  The barrier to AI success isn't technology, it's people and process.&nbsp;</p><p><br></p><p>#AI #Fintech #GenerativeAI #DigitalTransformation </p><p><br></p>","author_name":"Theodora Lau"}