EP. 03 | Why 95% of AI Projects Fail — And How to Fix Them | Srikanth Velamakanni Explains

Why do 𝟵𝟱% 𝗼𝗳 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗳𝗮𝗶𝗹 even as tools like 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 and 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗜 reach billions of users every month? In this episode of 𝗖𝗹𝗲𝗮𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗕𝗟𝗨𝗥, we sit down with 𝗦𝗿𝗶𝗸𝗮𝗻𝘁𝗵 𝗩𝗲𝗹𝗮𝗺𝗮𝗸𝗮𝗻𝗻𝗶 — Co-Founder, Group Chief Executive & Vice-Chairman of 𝗙𝗿𝗮𝗰𝘁𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, and Vice Chair at 𝗡𝗔𝗦𝗦𝗖𝗢𝗠 — to decode the real reasons behind the global AI adoption gap. From 𝗢𝗽𝗲𝗻𝗔𝗜’𝘀 $𝟭𝟬𝟬𝗕 𝗶𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁 𝘁𝗼 𝗜𝗻𝗱𝗶𝗮’𝘀 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗔𝗜 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺, Srikanth explains what big tech and enterprises are getting wrong — and what leaders can do differently. He shares his three pseudo-equations for AI success, explores why culture is harder than code, and outlines how 𝗔𝗜, 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗱𝗲𝘀𝗶𝗴𝗻 must work together to create lasting business impact.𝗜𝗻 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲, 𝘆𝗼𝘂’𝗹𝗹 𝗹𝗲𝗮𝗿𝗻:Why 𝟵𝟱% 𝗼𝗳 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝗽𝗶𝗹𝗼𝘁𝘀 𝗳𝗮𝗶𝗹 — and how to fix themThe difference between 𝗽𝗿𝗲-𝘁𝗿𝗮𝗶𝗻𝗲𝗱 and 𝗽𝗼𝘀𝘁-𝘁𝗿𝗮𝗶𝗻𝗲𝗱 AI modelsWhat 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗚𝗼𝗼𝗴𝗹𝗲, 𝗮𝗻𝗱 𝗜𝗻𝗱𝗶𝗮𝗻 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 are missing about real-world adoption How 𝗱𝗮𝘁𝗮, 𝗱𝗲𝘀𝗶𝗴𝗻, 𝗮𝗻𝗱 𝗰𝘂𝗹𝘁𝘂𝗿𝗲 drive AI resultsThe future of 𝗜𝗻𝗱𝗶𝗮’𝘀 𝘁𝗲𝗰𝗵 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 in an AI-first world𝗞𝗲𝘆 𝘀𝘁𝗮𝘁𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀𝗲𝗱:700M weekly ChatGPT users1.5B monthly Google AI overviews$100B NVIDIA–OpenAI investmentOnly 5% of enterprise pilots show measurable ROI𝗔𝗯𝗼𝘂𝘁 𝗖𝗹𝗲𝗮𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗕𝗟𝗨𝗥 'Clearing the BLUR' is a podcast that breaks down complex ideas shaping our world — AI, data, leadership, innovation — into simple, human stories. Hosted by 𝗗𝗲𝗲𝗽𝗮𝗸 𝗦𝗵𝗮𝗿𝗺𝗮 and 𝗥𝗮𝗷𝗶𝘃 𝗝𝗮𝘆𝗮𝗿𝗮𝗺𝗮𝗻, each episode features candid conversations with leaders reimagining the future.𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 for more insights on AI, innovation, and leadership. Share this episode with someone who’s still figuring out how to make AI work for them.

There are no comments yet.

Please log in to write the first comment.