Customer-Centricity, Facial Recognition, Apple AI, and Brown-Eyed Dogs
Weekly Roundup of AI, Technology, and UX
Here’s the latest news, resources, and use cases from the world of product, UX, AI and technology. Let’s go:
🏅 Product Excellence
🧑💻 Work Harder
🛋️ Facebook Marketplace
💊 Rite Aid
🤖 GenAI Trends
📱 Apple AI
🐶 Brown-Eyed Dogs
Fostering Product Excellence and Customer-Centricity with Vidya Dinamani
In this episode, Kyle interviews Vidya, founder of Product Rebels, who shares her experience in coaching product teams and transforming organizations. We explore the importance of understanding the customer problem and achieving product-market fit. We also discuss the challenges of pricing and the characteristics of successful product teams.
News and Useful Reads
Just in time for the holidays, we get CEOs bringing the cheer by telling employees to work harder and let work and life blend into one. So profits can rise and executive bonuses can increase. Because this is the system we’re in…
"Working long hours, being responsive, blending work and life, is not anything to shy away from," Shah wrote, according to the report. "There is not a lot of history of laziness being rewarded with success."
If you’ve tried to buy or sell online, you’ve likely faced the problem of scammers. It makes many sites and groups almost unusable. It is a fascinating problem that no one seems to be able to solve yet.
Facebook is far from the only place scams happen—they’re common across many online selling platforms. But as its Marketplace has soared in popularity since its debut in 2016, scammers have sought to exploit the tool, experts say.
Technology often starts with good intentions, but can get out of hand without proper guardrails. And that is what happened at Rite Aid. Its use of facial recognition began as a way to monitor and deter shoplifting, but turned into a fiasco as the software was introduced secretly, misidentified people, and was used inappropriately.
Rite Aid has been banned from using facial recognition software for five years, after the Federal Trade Commission (FTC) found that the U.S. drugstore giant’s “reckless use of facial surveillance systems” left customers humiliated and put their “sensitive information at risk.”
It’s crazy to think we’re a year into the generative AI revolution, but here we are. This article looks at the past year as well as the key trends.
Just over one year has passed since the release of ChatGPT. In the intervening twelve-odd months, it’s become abundantly clear that generative AI represents a fundamental platform shift. Leaders in the field now regard LLMs as the backbone of a new operating system capable of coordinating a variety of tools and resources to independently solve complex problems.
Ready for more AI right on your mobile device? Apple may be paving the way.
The Cupertino, Calif.-based company recently announced significant strides in artificial intelligence research through two new papers introducing new techniques for 3D avatars and efficient language model inference. The advancements could enable more immersive visual experiences and allow complex AI systems to run on consumer devices such as the iPhone and iPad.
Other Interesting Finds
I have two dogs and find the history of dogs fascinating. Human/canine companionship goes back tens of thousands of years. And so many traits that dogs have now have been influenced by millennia of human interaction. That even extends to eye color apparently.
Scientists have long known that domesticated animals tend to share traits like floppy ears, shorter snouts, smaller brains and decreased aggression. Now, researchers have discovered that humans may have influenced another trait in dogs: the color of their eyes. When domesticating our four-legged companions, humans may have selected dogs with darker eyes because we view them as more friendly and youthful, a new study suggests.