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Over 60% of companies are just scratching the surface of AI

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In Spain, the Madrid Metro uses AI to monitor its network and reduce energy consumption by 25%. In the U.S., a beverage company uses AI to drive sales by analyzing retailers and markets. In Europe, an energy company trains its engineers and managers in a digital twin factory powered by AI. In the Middle East, a telco's AI-powered virtual assistant speaks to 1.65 million customers every month in different Arab dialects and English. Undoubtedly, AI is in full adoption around the world, with all industries recognizing it as the next big thing in tech.


How AI is assisting Coca-Cola in increasing supply chain purchasing

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Artificial intelligence (AI) and machine learning tools have become indispensable to fuel procurement and sourcing efforts at the Atlanta-based global beverage leader, according to Brett Fultz, director of global analysis, global procurement and supply chain at Coca-Cola. For any company that manufactures or sells goods, buying and sourcing are integral functions of supply chain management. Sourcing, an early stage of the buying process, is about identifying and assessing potential suppliers of goods or services, negotiating terms, and selecting vendors. Procurement, however, goes further, and is about getting supplies and payment from suppliers who compete for business by submitting bids and negotiating contracts. But challenges abound in a supply chain landscape full of constraints and risks - from issues related to the COVID-19 pandemic and the war in Ukraine to climate change.


'Creating scenarios of what should be possible tomorrow': Givaudan develops 'advanced' futurescaping platform

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Givaudan has developed Consumer Foresight, a new tool that aims to help its customers co-create and innovate. This'futurescaping' platform will leverage big data, artificial intelligence and Givaudan's'deep expertise' of the food and beverage sector. It is a step beyond the trend forecasting models of today, Taste & Wellbeing President Louie D'Amico believes. "Most trend forecasting models largely focus on understanding the past and the present. Customer Foresight will be more predictive, with an ability to create potential future scenarios of what should be possible tomorrow to shape the future of food," he told FoodNavigator.


The Biggest Technology Trends In Wine And Winemaking

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It is not often that I am able to combine two of my life's passions: future tech and wine. When we think about the wine business, the images that come to mind might be more of vineyards stretching across the French countryside than of robots and digital transformation. But the fact is that the industry has always been driven by science, technology and innovation. Today, things are no different. The latest wave of technology-driven change is focused on artificial intelligence (AI), the internet of things, augmented reality and blockchain.


AI suggests how to make beer with whatever ingredients you have

New Scientist

AI that mimics aspects of the behaviour of flies seeking food can be used to design new beer recipes. It can also accurately recreate an existing brew using alternative ingredients when supplies are unstable. Mohammad Majid al-Rifaie at the University of Greenwich, UK, and his colleagues say that brewers traditionally follow existing recipes or create new ones using the time-consuming process of trial and error. He says that the AI tool is intended to "flip this whole equation around, so instead of …


AI Sommelier Generates Wine Reviews Without Ever Opening A Bottle - AI Summary

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An interdisciplinary group of researchers developed an artificial intelligence algorithm capable of writing reviews for wine and beer that are largely indistinguishable from those penned by a human critic. Wine and beer reviews also make a great template for AI-generated text, he explains, because their descriptions contain a lot of specific variables, such as growing region, grape or wheat variety, fermentation style and year of production. "It only understands binary 0's and 1's." Kopalle adds that his team would like to test the algorithm's predictive potential in the future--to have it guess what an as-yet-unreviewed wine would taste like, then compare its description to that of a human reviewer. "An online product review has the ability to really change people's opinion," notes Ben Zhao, a machine learning and cybersecurity expert at the University of Chicago, who was not involved in the new study.


AI Sommelier Generates Wine Reviews without Ever Opening a Bottle

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In the world of wine reviews, evocative writing is key. Consider the following: "While the nose is a bit closed, the palate of this off-dry Riesling is chock full of juicy white grapefruit and tangerine flavors. It's not a deeply concentrated wine, but it's balanced neatly by a strike of lemon-lime acidity that lingers on the finish." Reading the description, you can almost feel the cool glass sweating in your hand and taste a burst of citrus on your tongue. But the author of this review never had that experience--because the author was a piece of software. An interdisciplinary group of researchers developed an artificial intelligence algorithm capable of writing reviews for wine and beer that are largely indistinguishable from those penned by a human critic.


Is it ethical to use AI-generated content without crediting the machine?

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A team of researchers recently developed an algorithm that generates original reviews for wines and beers. Considering that computers can't taste booze, this makes for a curious use-case for machine learning. The AI sommelier was trained on a database containing hundreds of thousands of beer and wine reviews. In essence, it aggregates those reviews and picks out keywords. When the researchers ask it to generate its own review for a specific wine or beer, it generates something similar to previous reviews.


A day in the life of (almost) every vending machine in the world

The Guardian

A minute before midnight on 21 July 2021, as passengers staggered sleepily through Manchester airport, I stood wringing my hands in the glow of a vending machine that was seven feet tall, conspicuously branded with the name of its owner – BRODERICK – and positioned like a clever trap between arrivals and the taxi rank. I opted for Doritos, keying in a three-digit code and touching my card to the reader so that the packet moved jerkily forwards, propelled by a churning plastic spiral and tipped into the well of the machine. My Doritos landed with a thwap, a sound that always brings relief to the vending enthusiast, because there hasn't been a mechanical miscue. Judged by the clock, which now read 12am, it was the UK's first vending-machine sale of the day. Nine hours later, I was sitting in a spruce office in the Manchester suburb of Wythenshawe, drinking coffee with John "Johnny Brod" Broderick, the man who owned and operated that handsome airport machine. I'd had an idea to try to capture 24 hours in the life of vending machines. With their backs against the wall of everyday existence, they tempt out such a peculiar range of emotions, from relief to frustration, condescension to childish glee. For decades I'd been a steady and unquestioning patron. I figured that by spending some time in the closer company of the machines and their keepers, by immersing myself in their history, by looking to their future, I might get to the bottom of their enduring appeal. What made entrepreneurs from the Victorian age onwards want to hawk their goods in this way? What made generations of us buy? Johnny Brod seemed a good first person to ask. Freckle-tanned, portly and quick to laugh, Broderick has a playful exterior that conceals the fiery heart of a vending fundamentalist. He is a man so invested in the roboticised transmission of snacks that, come Halloween, Johnny Brod has been known to park a machine full of sweets in his driveway, letting any costumed local kids issue their demand for treats via prodded forefinger. With his brother Peter and his father, John Sr, he runs the vending empire Broderick's Ltd, its 2,800 machines occupying some of the most sought-after corridors and crannies of the UK.


Guest Post: Ethics in AI Technology Integrations

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Welcome back to our "Customer Service Heroes" series, where we invite inspiring customer service leaders to share their advice for running successful teams. Carolina Pinart is the AI Program Lead at Nestlé, the world's largest food and beverage company. Nestlé operates more than 2,000 brands across the globe spanning bottled water, petcare, chocolate and confectionary products, baby food, cereals, and more. In her role, Pinart is responsible for integrating emerging technologies into Nestlé's products and business operations. Many people look at Nestlé and strictly see a consumer packaged goods company.