Post by Victoria Wymark (苹果)

🚀 𝗪𝗵𝘆 𝗮𝗿𝗲 𝟴𝟬% 𝗼𝗳 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗳𝗮𝗶𝗹𝗶𝗻𝗴 𝘁𝗼 𝗿𝗲𝗮𝗰𝗵 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻? PwC's 29th Global #CEO Survey and #AI Performance Study reveal that while AI excitement is at an all-time high, only 20% of organisations have successfully moved their agentic and GenAI experiments into #production at scale. This supports the infamous and often-cited Massachusetts Institute of Technology (MIT) study that as many as 95% of AI projects fail to generate value in production. 𝗦𝗼, 𝘄𝗵𝗲𝗿𝗲'𝘀 𝘁𝗵𝗲 𝗱𝗶𝘀𝗰𝗼𝗻𝗻𝗲𝗰𝘁? It's not the #tech. In this video, I break down the critical gaps in #data, #people, and #process. Here are the key takeaways: 📚1. The Data Readiness Gap: Over half of generative AI projects are abandoned after the Proof of Concept (PoC) stage because the underlying data is unreliable, incomplete, or lacks the necessary #context to be "machine-actionable". 🏋️2. The Workflow Trap: Many companies fail because they try to "#bolt" AI onto existing human workflows. AI lacks the "common knowledge" context that humans use to navigate standard operating procedures, leading to immediate failure when scaled. 🕵️3. Governance at Speed: Traditional #governance was designed for human-paced consumption. To succeed, governance must evolve to be automated, real-time, and explicit about data provenance. 🛣️𝗧𝗵𝗲 𝗣𝗮𝘁𝗵 𝘁𝗼 𝗦𝘂𝗰𝗰𝗲𝘀𝘀: Organisations delivering value using AI aren't experimenting as hoc; they are reinventing at the systems level. By treating data as a core product rather than a byproduct and becoming "AI fit," leading companies are seeing up to 7.2x more AI-driven returns than their peers. 📺 Watch the video below to learn how to bridge the data gap and move AI strategy from experiment to impact. Thanks to Google Notebook LM and the underlying original artists that make storytelling content like this possible. Source: https://lnkd.in/gzYGUzTn PwC South East Asia Consulting Joe Atkinson Scott Likens Vishy Narayanan Dr. Luke Soon Ronald Chung Winston Nesfield Charles Loh Richard Chong （蔡宇轩）Chai Yit Sheng Gerd Lenhardt De Fang T. Santhosh Krishna Martijn Schouten Tina Wahi Martijn Peeters David Hodge Simon Gealy

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