🤔 𝗧𝗵𝗲 𝗘𝗹𝘂𝘀𝗶𝘃𝗲 𝗥𝗢𝗜 𝗼𝗳 𝗔𝗜: 𝗪𝗵𝘆 𝗔𝗿𝗲 𝘁𝗵𝗲 𝗥𝗲𝘁𝘂𝗿𝗻𝘀 𝗦𝗼 𝗛𝗮𝗿𝗱 𝘁𝗼 𝗙𝗶𝗻𝗱? 🤔 Despite all the buzz around AI, many companies are struggling to see a clear return on investment from their initiatives. The promise and potential are massive, but the path to realizing tangible financial gains has plenty of pitfalls. So why isn't AI translating into dollars and cents for more organizations? 𝑯𝒆𝒓𝒆 𝒂𝒓𝒆 𝒂 𝒇𝒆𝒘 𝒌𝒆𝒚 𝒓𝒆𝒂𝒔𝒐𝒏𝒔*: ✹ Sky-High Hype: The nonstop hype around AI leads to investments that don't align with business needs. The tech promises the world, but doesn't always fit the problem. ✹ Integration Insanity: Integrating AI into legacy systems turns out to be way more complex than anticipated. More costs, more delays. ✹ Talent Desert: There simply aren't enough skilled professionals out there to implement AI solutions effectively. That know-how is in hot demand. ✹ Dirty Data: Garbage in, garbage out. Poor quality data limits what AI can do. You need rich, relevant data to see results. The bottom line? AI has phenomenal potential, but executing in a way that boosts the bottom line takes focus. You need strategic alignment, talent investment, and quality data. The returns are out there, but you've got to build the bridge to reach them. 👥 𝑌𝑜𝑢𝑟 𝑇ℎ𝑜𝑢𝑔ℎ𝑡𝑠? 👥 What's been your experience with AI and ROI? Share your insights and let's keep the conversation going! #AI #MachineLearning #DeepLearning #ROI #Datadriven #BusinessStrategy #FutureOfWork #Innovation #Strategy #DataScience --------------------- * Details of how businesses can be ready for AI in my upcoming book "AI Unleashed: Harness the Power of AI to Transform Your Business." (https://lnkd.in/gMCCvhR7)
No clear input and output metrics. There has to be a clear North Star, a clear approach to measuring the desired outcomes and strict accountability on tracking input costs
Growth Company Executive & Board Member
10moNot hard to find just go to www.krista.ai 😉