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3 Ways Fashion is Using AI This Season
Fashion brands have always had to stay on the cutting edge of the latest trends. But now, the industry is incorporating technology. Just how is AI changing fashion? Artificial Intelligence promises to reshape whole sectors of the economy, and fashion brands will have to adapt. Companies that use AI or Deep Learning are crafting tomorrow’s trends with precision and personalization. From predicting trends before they happen to getting dynamic pricing right, AI offers a strategic leg up that’s changing an industry. Those who embrace it are not just keeping pace; they’re setting it while competitors trail behind. See how fashion brands are already using AI and step into the future of fashion with us.
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The Top 20 Deep Learning Applications You Need to Know
When we think about data in the modern world, our thoughts often land upon the famous line from the Rhyme of the Ancient Mariner, “Water, water, everywhere, but not a drop to drink.” Just as ancient sailors could be surrounded by undrinkable ocean water, today we’re drowning in so much data that it can become impossible to leverage its power. Well, it’s impossible without the right tools in any case. As the amount of data we collect has grown, we’ve developed tools that can help us analyze this information and turn it into something useful. The most powerful of these tools is undoubtedly Deep Learning. To understand why, let’s take a look at some of the top Deep Learning applications.
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AI vs. Deep Learning vs. Machine Learning in Advertising
People are bombarded with thousands of ads every day, both offline and online. With the growing popularity of ad-blocking, it’s clear that they are looking for ways to reduce the number of ads shown. One of the big challenges is that most of this ad content is irrelevant to users. This article will explain how AI technology can help advertisers to deal with it and to improve campaign performance with more precise targeting through Deep Learning.
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[VIDEO] 2023: The year of Deep Learning AI… and what it means for e-commerce
Where are we in the evolution of artificial intelligence, and what is its place in the marketing ecosystem? To harness the true future potential of any technology, we need to understand its capabilities and limitations today.
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Understanding the Next Leap Forward in Marketing Technology: Deep Learning
From the printing press to Deep Learning, the history of marketing shadows all our great leaps forward in communications technology. It is the marketer’s job to identify how these novel technologies can be used to reach potential customers, and educate them about products and services that enrich their lives.
The printing press let us create posters, radio and television enabled us to speak to people in their homes, and the internet gave us new ways to sell to people. Today, we’d like to take a moment to dive into how marketers can take advantage of the next big leap forward in technology: Deep Learning.
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What are the key differences between a brand awareness and marketing campaign?
Even if you leave the details to the experts, it’s important to understand exactly how the different components of your marketing campaign work together. This helps marketing managers to get a feel for how different service providers bring value, boost brand visibility, and ensures that the campaign’s budgets are being spent wisely. For consumer tech brands, and most anything else, two of the most powerful tools in your arsenal are branding campaigns and retargeting campaigns, especially when used in concert and optimized with Deep Learning algorithms.
Ready to learn more? Let’s dive in.