Hiero’s Post

#Amazon is using an #AImodel it calls Project P.I. to cut down on #returns and improve sustainability by detecting product quality issues and incorrect orders through a combination of #generativeAI and computer #vision technology.

See how Flexport is utilizing AI to enhance your ocean freight supply chain!

Resilient supply chains are high on clarity 📈 , low on confusion 📉.  Sadly, machine learning and generative AI are not the magic pill to fix that. Unless there is already a single version of the truth, every "solution" will only add to the noise.  Futuristic and mind-blowing analytical power is cool (seriously, it's freaking electric). But it's only as useful as the integrations, data quality, and adoption rates that back it up. For shippers, this means being intentional with your tech stack. It needs to work for everyone ... including your transportation and logistics folks stuck in the back of the warehouse. (https://lnkd.in/gVZy4hYT) We need to do better than buzz words and half measures. We need to give our teams solutions that work, instead of forcing them to come up with their own. (If you don't want me to make my own Access database, give me something better ...) What are the biggest barriers to actually using the technology at your disposal? What isn’t quite right? #logistics #shipping #transportation #intentionaltechnology #dataquality

This slide from a 1979 IBM presentation aged like milk 😳 Fast forward to 2024, algorithms trade stocks at lightning speed, AI bots analyze market trends, and self-driving cars (hopefully) won't crash your portfolio. The lesson? Technology evolves, opinions change, and sometimes the future unfolds in ways even tech giants can't predict. Always expect the unexpected. P.S. check out 🔔linas.substack.com🔔, it's the only newsletter you need for all things when Finance meets Technology. For founders, builders, and leaders.

I think this still applies today. Many of the clients we at Xceptor work with don't want to automate management decisions. Instead, they want to automate menial tasks like capturing emails, reading documents, data entry, etc, but leave the management decisions to the human. Even with the #ai trend we are seeing today, it's not so much about using AI to make decisions, but again do things that we humans 𝘥𝘰𝘯'𝘵 want to do. For example, reading a 𝘁𝗿𝗮𝗱𝗲 𝗰𝗼𝗻𝗳𝗶𝗿𝗺𝗮𝘁𝗶𝗼𝗻 & extracting the trade date, trade amount, and settlement details - a human can do this perfectly, but it's a waste of a human's time to do this for hundreds of trade confirmations at a time. The human in this case, an operations user, is leveraging a document intelligence model or LLM to extract the required details, and set up basic business rules to automatically enter into a Data Set - all running in 𝗫𝗰𝗲𝗽𝘁𝗼𝗿, and reviews the 5-10% of the exceptional cases & monitor the STP rates. So that they can make management decisions. OpenAI is not going to be liable, nor would Microsoft Azure, if you had based your business decisions on the response or data extracted from their models. So the statement "A Computer can never be held accountable" is still true today!

In a world where technology's pace is outstripping our grasp, how do we stay ahead of the curve? McAfee's insight into the "second half of the chessboard" presents a fascinating metaphor... 👇 Are we truly prepared for the exponential leap in technological advancement? The leap from linear to exponential growth is not just a numerical increase, but a paradigm shift in how we perceive progress. This transition challenges our ability to forecast and adapt to technological change, often leaving us a step behind. Consider these points: - 🧠 The exponential curve of technology means that each new iteration builds on the past, accelerating progress beyond our linear expectations. - 🕰️ While we anticipate change in a straight line, technology leaps forward in leaps and bounds, often catching us by surprise with its breadth and depth. - 🌍 This misalignment between expectation and reality explains why technological advancements seem to take longer to manifest, but, once they do, their impact is profoundly more significant than anticipated. In this rapidly evolving landscape, it begs the question: - How can we better align our expectations with the reality of exponential growth? - What strategies can we adopt to not just keep up with, but lead, in this era of unparalleled technological advancement? As leaders, it's crucial to foster a culture of continuous learning and adaptability within our organisations. Understanding the nature of exponential growth allows us to anticipate changes more accurately and prepare for the future with more agility. 📌 Reflect on your approach to technological change. 📌 How can we enhance our foresight and adaptability to thrive in the age of exponential growth? #TechnologyLeadership #ExponentialGrowth #InnovationStrategy #FutureTrends

This large Australian retailer needed a fresh approach to their product allocation process, so they asked Mondo to come to the party! Our proposal was simple – build some ML models and train them to allocate the right products to the right members. Machine learning is no magic bullet. We honestly didn’t know how accurate the models would be. Neither did our client. But our non-prescriptive approach and rapid release cycles meant the cost of experimental failure was low. Build, test, iterate, learn and pivot. This is the essence of Mondo’s DNA. Read more about this project here: https://lnkd.in/gAFP3hhG #retailer #australianbusiness #businesstransformation #productallocation #automation #releasecycles #digital #techteam #digitalproduct #casestudy

"A computer can never be held accountable therefore a computer must never make a management decision" IBM, 1979. It's not an old-fashioned wink, but rather a lesson in the wisdom of computing, which takes on even greater importance in the age of AI. Many thanks once again Linas Beliūnas for this great archival source and this valuable information! • 💎💻 Heruka-AI Consulting, a consulting company for your transition to #IA that puts people at the center of its solutions.🤝 #history #IBM #computingethics