Lidl has introduced an artificial intelligence (AI) chatbot to help improve the wine-buying experience for shoppers, as the food retailer continues its efforts to wrest market share away from the big four supermarket chains. Every conference this year contains a dead human genius reincarnated as so...
The Carlsberg Research Laboratory in Denmark creates 1,000 different beer samples, daily. That's enough for more than two samples for each person living in Copenhagen, over the course of a single year. With such a strong focus on research, it's no surprise that Carlsberg is looking towards the future, and the opportunities that technology can provide. The company's new multi-million research study, enticingly named The Beer Fingerprinting Project, looks set to change the way how new beers are created and enjoyed – and it's all thanks to Artificial Intelligence (AI). Intelligent beer The brainchild of Jochen Förster, Director and Professor Yeast Fermentation, Carlsberg Group, the aim of the pioneering project is to use a series of high-tech sensors which can accurately guage the delicate nuances and aromas in the beer, mapping out a'flavour fingerprint' for each individual sample. Information gained from this system can then be used to explore new brewing organisms, ultimately leading to the creation of new beers. Created in collaboration with Carlsberg, iNano at Aarhus University, DTU Chemical Engineering, Innovation Fund Denmark and Microsoft, the system is a technological first. Microsoft's AI solutions including machine learning and its digital cloud platform will enable the team to select and develop novel brewer's yeast for application in craft, speciality, core and alcohol-free beers at a much higher speed and quality. Ricky Gangsted-Rasmussen, Industry Lead – Retail, Microsoft Denmark, comments, "This research study puts advanced analytics and intelligent cloud technology as a corner stone of the project and combines expertise within several fields of research. We are excited to see the project unfold and determine how it will impact faster go to market processes for Carlsberg." Beer and beyond Strengthening the Danish position in the world beer market represented by Carlsberg, the three-year project is also expected to spark innovations and lead to new startups beyond the brewing world, as the technology can be used across other industries, such as the environmental, pharmaceutical and food industries. Jochen Förster, Director and Professor Yeast Fermentation, Carlsberg Research Laboratory states that "The development of a sensor platform holds enormous potential for broader research and facilitate new startups. No rapid assays exist today for the determination of flavour compounds in beverages but it is crucial that we can do this to ensure that the Laboratory continues to develop beer of the highest possible quality and provide a model for brewing in Denmark and the rest of the world. "We are excited to be part of a team with Aarhus University, The Technical University of Denmark and Microsoft and push the boundaries in sensor technology for flavour determination."
A number of brands have begun to utilize artificial intelligence in an effort to make content creation quicker and easier. PSFK researchers took a closer look at how AI tools can be put to good use by companies wanting to increase the volume of their content or improve its quality by generating whatever they require--whether that is logos, scripts, video clips or other content. It seems that consumers are in favor of using AI in this way. A recent survey found that 61% millennials are aware of AI being used in media, advertising and marketing. Of those that are aware of its use in advertising, 57% said they viewed it a positive force. Here are a couple of examples of brands that have been using AI effectively to produce different types of content: Coca-Cola The global beverage manufacturer is exploring how artificial intelligence tools can help automate advertising narratives-- from relevant music choices to social media activation scripts and the appearance of a logo in a commercial. Octi Video tech startup Octi uses artificial intelligence to automatically produce a seamlessly edited single clip to be distributed on social media. Backed by Anheuser-Busch InBev and Techstars, the software was designed to help marketers pull together video shot by teams on the ground at live events and use that content to populate various social media feeds. Artificial intelligence is helping more brands streamline the content creation process, with algorithms in place that are capable of picking music, writing copy and posting on social media. Could AI programs soon replace creatives and produce ads entirely by themselves? Not likely, but they will certainly help their human counterparts. For more insights, check out our recent research paper, Evolved Brand Marketing & AI Toolkits.
Two years ago, I watched every single Super Bowl, so I can say with absolute certainty that, for whatever reason, America's most-watched sports event is usually a terrible football game. This, I suspect, is one of the reasons why Americans have come to care so much about Super Bowl ads: They know that while the game will probably fall short of its hype, at least they'll see a few entertaining commercials. Last year's Super Bowl reversed that trend, with a great game surrounded by a bunch of lackluster ads. This year's Super Bowl followed suit. While the game itself was an all-time classic--easily top 10, maybe even top five--this year's ads were a poor crop.
You're presented with a list of options FEMAIL Food&Drink was the first to test out Lidl's new winebot feature on Facebook Messenger. I started by asking it for recommendations to pair with my dinner that evening: butternut squash ravioli with a simple tomato sauce. It immediately dished out some advice, writing: 'Lively, fruity reds are lovely with tomato-based pasta dishes. If you have a hint of chilli in there, try a Primitivo.' It also recommended two red wines from Lidl's collection.
While we happen to be in a unique position to dispense investing advice, we never tell people what stocks they should invest in. Instead, we talk a bit about what investments we make and why we make them. Put your money where your mouth is and all that. While we predominantly cover disruptive technologies, pure-play stocks on such themes are far and few between. That's one of the reasons why the lion's share of our investment dollars have been sunk into Dividend Growth Investing stocks or DGI stocks.
This post is authored by Joseph Sirosh, Corporate Vice President of the Data Group at Microsoft. A few months ago, I was trying to find a clever way to illustrate the power of machine learning to software developers at Microsoft's //BUILD conference. So, using the face analysis API we had recently published on the Cortana Analytics Gallery, we built the web site How-Old.net When we showed it off at //BUILD, the application went viral, and over 85 million users submitted over 500 million images to test it, and to mock and try to fool the application. It became a social media sensation.
AI is assisting people in being more efficient and remove the need for banal repetitive tasks, giving us more of our most valuable currency, time. Imagine you own a brewery that creates bold new eccentric craft beers. A lot of time will be spent researching and inventing new and creative flavours, bottle artwork, and names. Imagine you have created the craft beer that is going to take over London, yet you cannot think of an apt name for such a maverick beverage. That is where AI and specifically, machine learning, revolutionises the process.