I just wrapped up the second round of judging for the 2024 Canadian Marketing Awards [CMA] Awards!

It’s an incredible privilege to contribute to an event that celebrates the forefront of technological innovation, AI-driven insights, strategic brilliance, creative execution, and powerful storytelling in our industry.

It’s these moments that reinforce my passion for this field—seeing how our industry continually evolves while maintaining a focus on delivering meaningful results.

As we approach the final round, the excitement is building… kudos to the agencies, marketers, creative teams, and brand strategists who brought these campaigns to life—you’re certainly pushing the boundaries!

#CanadianMarketingAwards2024 #StrategicMarketing #CreativeExecution #MarketingInnovation #BrandStrategy #MarketingIndustry #MarketingExcellence #BrandGrowth #CreativeLeadership #MarketingInfluencer #JudgingPanel #DigitalMarketing #BrandEngagement #MarketingSuccess #influencer #Canada
#Canadianmarketing

Wine of Moldova offers a glimpse of the future with its game-changing AI tool

The Moldovan wine industry, following its reception at ProWein, has entered a critical juncture. After the successful unveiling of two wines produced with the support of Artificial Intelligence, key stakeholders will seek further collaboration with the nation’s burgeoning tech and design sectors in the coming years, using innovation to strengthen their global competitiveness.

According to Wine of Moldova, this new landmark AI project involves a strategic partnership between several institutions: the National Office of Vine and Wine, the creative media technology hub, Mediacor, and the Technical University of Moldova. The goal is to set a global precedent for the unification of Artificial Intelligence and human expertise, in addition to facilitating ongoing development via the use of new technologies; $500 million has been earmarked for vineyard expansion, technological innovation, and production capacity.

Robert Joseph, consultant and author, commented: “A changing climate – which means far greater vintage variation as well as higher temperatures – requires innovative solutions. This project gives wine producers access to the nation’s growing AI expertise that could be a game-changer.”

At ProWein this year, a white blend of Feteasca Alba, Feteasca Regala and Viorica and a red wine Feteasca Neagra were presented to an international audience, both created with the assistance of Artificial Intelligence.

The wine industry is essential to Moldova’s economy, contributing around 3% of GDP and 8% of total exports, contributing to the livelihoods of over 50,000 families in rural areas. Premium labels are exported to 72 different countries – 55 percent of the country’s total exports are shipped to the EU.

“Moldova boasts a growing number of small new wineries, with young winemakers, while its larger ones are investing in vineyards and cellar equipment to produce more premium wines,” said Diana Lazar, AI Wine project lead.

Like every other wine-producing country, Moldova faces a range of challenges. However, stakeholders are in a strong position to meet these difficulties head on, taking full advantage of the solutions presented by future tech. A new era of cooperation between winegrowers and digital innovators has begun as Moldova offers valuable lessons for the rest of the world.

Video – https://www.youtube.com/watch?v=uCDUwK3Nv7A

Source: Wine of Moldova

Taste-Driven AI Algorithms Enhance Wine Selections

For wine enthusiasts, choosing a bottle of wine can be challenging when scanning unfamiliar labels, while shopping. Questions that come to mind: What does it taste like? What was the last one I bought that tasted so good? Vivino, Hello Vino, Wine Searcher and other apps let wine buyers scan labels to get information about the wine and read reviews of others. These apps have been built from artificially intelligent algorithms.

Using taste or other sensory inputs as data sources is entirely new.

Now, scientists from the Technical University of Denmark (DTU), the University of Copenhagen and Caltech have shown that you can add a new parameter to the algorithms that makes it easier to find a precise match for your own taste buds: Namely, people’s impressions of flavour.

“We have demonstrated that, by feeding an algorithm with data consisting of people’s flavour impressions, the algorithm can make more accurate predictions of what kind of wine we individually prefer,” says Thoranna Bender, a graduate student at DTU who conducted the study under the auspices of the Pioneer Centre for AI at the University of Copenhagen.

More accurate predictions of people’s favourite wines
The researchers held wine tastings during which 256 participants were asked to arrange shot-sized cups of different wines on a piece of A3 paper based upon which wines they thought tasted most similarly. The greater the distance between the cups, the greater the difference in their flavour. The method is widely used in consumer tests. The researchers then digitized the points on the sheets of paper by photographing them.

The data collected from the wine tastings was then combined with hundreds of thousands of wine labels and user reviews provided to the researchers by Vivino, a global wine app and marketplace. Next, the researchers developed an algorithm based on the enormous data set.

“The dimension of flavour that we created in the model provides us with information about which wines are similar in taste and which are not. So, for example, I can stand with my favourite bottle of wine and say: I would like to know which wine is most similar to it in taste – or both in taste and price,” says Thoranna Bender.

Professor and co-author Serge Belongie from the Department of Computer Science, who heads the Pioneer Centre for AI at the University of Copenhagen, adds:

“We can see that when the algorithm combines the data from wine labels and reviews with the data from the wine tastings, it makes more accurate predictions of people’s wine preferences than when it only uses the traditional types of data in the form of images and text. So, teaching machines to use human sensory experiences results in better algorithms that benefit the user.”

Thoranna Bender points out that the researchers’ method can easily be transferred to other types of food and drink as well:

“We’ve chosen wine as a case, but the same method can just as well be applied to beer and coffee. For example, the approach can be used to recommend products and perhaps even food recipes to people. And if we can better understand the taste similarities in food, we can also use it in the healthcare sector to put together meals that meet with the tastes and nutritional needs of patients. It might even be used to develop foods tailored to different taste profiles.”
The researchers have published their data on an open server and can be used at no cost.

“We hope that someone out there will want to build upon our data. I’ve already fielded requests from people who have additional data that they would like to include in our dataset. I think that’s really cool,” concludes Thoranna Bender.

Key Facts:
1. Wine apps are using AI algorithms to assist users in selecting wines based on labels and reviews.
2. Researchers integrated people’s flavor impressions into the algorithms for more accurate wine recommendations.
3. This approach can be extended to beer, coffee, and personalized food recommendations, benefiting various industries.

Source: Neuroscience News

Winechain (wiNeFT) Partners with CMA CGM Group for Logistics of Fine Wines 

Winechain the NFT platform (wiNeFT /Winechain NFT name) designed to create direct links to new generations of wine consumers around the world, has today announced the partnership with the CMA CGM Group. This global player in sea, land, and air logistics solutions will take a minority shareholding in Winechain alongside its founders.

Winechain is the fi­rst independent NFT platform for ­fine wine estates. This wine-meets-technology project has been designed to create direct links with new generations of wine consumers around the world has now raised over €1 million in backing from top international wine estates and others.

The initiative was launched in April 2022 by three Frenchmen: Xavier Garambois, former head of Amazon Europe, Guillaume Jourdan, CEO of VitaBella, Paris, and Nicolas Mendiharat, CEO of the San Francisco Palate Club.  The plan is to go live by the end of 2022 with the issue of the ­first wiNeFT (Winechain name NFT).

Xavier Garambois, joint founder of Winechain states:

“Although the acquisition of NFTs will be the first thing that enthused buyers will do on Winechain, the day will come when the owner of the wines will want to have them shipped to their homes, wherever that might be in the world, and in the very best conditions. Apart from enabling access to rare wines, Winechain also takes care of logistics to ensure that the wines arrive at their final destination in perfect condition. This worldwide partnership with the CMA CGA Group is a mark of confidence in the future and our strategy that enables us to look to the long term. We will be able to benefit from the expertise and experience of CMA CGA and the major support that they can bring in terms of sea and air transport and logistical services.”

 

#winetrade #winedelivery #winelogistics #logistics #NFT #winechain #winemarketing #nfts #nftcommunity #wine #finewine #winelovers #winecollectors #wineinvestors #nftcollector #winenews #wineindustry #winetech #winetrends #winetechnology

Wine Grounds Launches Machine Learning-Based Vintage Scores

Wine Grounds announced this week a revolutionary new vintage quality feature to their food and wine pairing app, Grape Base. Their data-driven approach to determining the quality of a vintage allows industry professionals and consumers to see scores for any wine-growing region in the world. By utilizing machine learning and a proprietary weather model, Grape Base can instantly predict the overall quality of a vintage based on the weather during the growing season, at harvest and throughout the winter.

Grape Base is taking a hyper-local approach to vintage quality and creating scores for the top varietals grown in every officially recognized region, district and or appellation across the globe. Vintage scores will be continually expanded on and made available after the end of harvest in the northern and southern hemispheres. Industry professionals can use the data to make purchasing decisions and project trends in consumer buying habits.

Wine Grounds Founder Chris Hall states, “By tracking and evaluating the weather of a specific region and comparing that to the ideal conditions for the grapes grown there, we can predict the quality of the vintage for those grapes. You can then use those scores to pick the best vintage in a wine shop, from your own rack or out to eat. Somms can ahead on building wine programs that showcase varietals at their very best. It is absolute revolution in wine tech.”

Highlights Include:

  • Weather model can be applied to any region in the world for any grape and it is continuously learning and improving
  • 75+ regions available with scores for the past ten years
  • Search allows users to find scores by region or grape varietal
  • Monthly subscriptions start at US $1.99 after a one-month free trial
  • Grape Base is available in the Apple Store and on Google Play

#wine #winewednesday #wednesday #winetrends #businessofwine #tech #winegrounds #machinelearning #vintagewines #vintagescores #foodandwineapp #somms #wineandfoodpairing #app #AI #winelovers #instawine #wineinstagram #winelife #winemarketing #socialmediamarketing