Final presentation to client organisation - 𝗮𝗻𝗱 𝘆𝗼𝘂 𝗹𝗼𝘀𝗲 𝘁𝗼 𝗮 𝘂𝘀𝘂𝗮𝗹𝗹𝘆 [𝘁𝗵𝗼𝘂𝗴𝗵 𝗻𝗼𝘁 𝗮𝗹𝘄𝗮𝘆𝘀] 𝗯𝗶𝗴𝗴𝗲𝗿 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿. Why does it happen - ever wondered? Well, I have wondered of this, and dealt with and am dealing with this - just like many, many of us in the Startup culture. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗶𝘁 𝘁𝗵𝗮𝘁 𝘄𝗲 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗱𝗼 𝘁𝗼 𝗴𝗲𝘁 𝗮𝗵𝗲𝗮𝗱? This article combines my experience across 28 years, all my failures and all my successes - in an attempt to find a common theme. Well, in my thought analysis - 𝗜 𝗳𝗼𝘂𝗻𝗱 𝗻𝗼𝘁 𝗼𝗻𝗲, 𝗯𝘂𝘁 𝟴+ 𝗲𝗹𝗲𝗺𝗲𝗻𝘁𝘀. You may call it Gyan - but this is Gyan rooted in hardcore experience and the burning fire of failure. Read on! This is a very long article - but tries to establish a framework that can work. That being said, it is not plug and play - it wont work as-is. Every step needs to be changed and adapted to the situation - for there are no ready answers to this problem I have presented here...
Where is AI Adoption Stuck? This is something I read on, experiment with in my job, and think about often. While cogitating, a couple of points stuck out to me in my AI updates - the state of data preparedness for AI being at an abysmal 8.4%, and the two data points on Pilot projects and their progression / status. Clearly, they confirm what I have been seeing, commenting on and writing about - that experimentation with AI is in vogue, but actual adoption lags behind by a long margin. Committing beyong the pilot is true adoption - and that clearly isnt happening. But even more worrisome is the 8.4% data point - that should have us all deeply worried - and I dont see that happening at all! The fact that we are not ready for AI, in terms of data, can possibly hide behind it a large lacuna, which people people arent speaking too much, and which I indicated to in some of my previous writings. And that is the reality that our companies do not yet have ...