Spotify is the world’s most popular audio streaming service with 433 million users (including 188 million paying subscribers) across 183 different markets—and artificial intelligence is absolutely essential to the company’s success.
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If you’ve attended our Intro to AI for Marketers course or have searched for articles on piloting your first project with AI, you’d see that natural language processing (NLP) and natural language generation (NLG) are two of the most tangible and understandable ways for marketers to get started with AI.
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Editor’s Note: This post is sponsored content from AiAdvertising.
When it comes to job tenure, the average Chief Marketing Officer (CMO) faces a lot of uncertainty.
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Digital fatigue is real. We’re all experiencing it as marketers and as consumers. As brands work to gain share of voice in a fragmented digital marketplace, they’re looking in alternate and unexpected places to reach consumers. And it’s a great idea. With some semblance of normalcy returning to the world, consumer travel and activities on the rise, and most adults in need of a digital detox, we marketers need to look outside computers and phone screens to reach customers and prospects.
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In the last few decades, we’ve experienced a rapid evolution of AI. Since its humble beginnings in 1956, artificial intelligence has transformed from simple predictive models to powerful machines, fueled by deep learning.
Today, AI has become much more feasible for organizations, thanks to foundational models made available by tech giants like Google and Meta. The focus has shifted from gathering large amounts of data to using the right data in a responsible way.
So, what does the future of AI look like?
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As a lifelong marketer and former agency owner, I have seen firsthand how AI can and will power our industry. In my opening keynote at MAICON 2022, I explained the vision and opportunities Next-Gen Marketers have using AI-powered technology to deliver the personalization and experiences modern consumers expect, unlock previously unimaginable creative possibilities, and drive efficiency, revenue growth, profits, and societal impact that their leadership demands.
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Editor’s Note: This post is sponsored content from AiAdvertising.
John Wanamaker famously said, “Half the money I spend on advertising is wasted; the trouble is I don’t know what half.” Wanamaker died in 1922, meaning this statement is over 100 years old, and advertisers are still plagued with the same problem today. This singular problem is the primary problem for all marketers, and it is exactly what we are laser-focused on solving at AiAdvertising.
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Driving traffic to your website is one thing, but getting all those visits to convert into real engagement and revenue is another.
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Extend creativity and tell a bigger story with DALL-E images of any size
Today we’re introducing Outpainting, a new feature which helps users extend their creativity by continuing an image beyond its original borders — adding visual elements in the same style, or taking a story in new directions — simply by using a natural language description.
Outpainting: August Kamp
DALL·E’s Edit feature already enables changes within a generated or uploaded image — a capability known as Inpainting. Now, with Outpainting, users can extend the original image, creating large-scale images in any aspect ratio. Outpainting takes into account the image’s existing visual elements — including shadows, reflections, and textures — to maintain the context of the original image.
More than one million people are using DALL·E, the AI system that generates original images and artwork from a natural language description, as a creative tool today. Artists have already created remarkable images with the new Outpainting feature, and helped us better understand its capabilities in the process.
Outpainting is now available to all DALL·E users on desktop. To discover new realms of creativity, visit labs.openai.com or join the waitlist.
source https://openai.com/blog/dall-e-introducing-outpainting/
Most people would think about machine translation when discussing AI and the language industry. However, AI isn’t only influencing translation services but also the localization sector through faster and more precise targeting and analytics.
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