Morning Brew - ☕ X marks the Spotify

Will AI DJs put up with our strange requests?
March 27, 2023

Emerging Tech Brew

Zendesk

Welcome to Monday. We’re wrapping up the first quarter of 2023, a year that still sounds to us like it’s in the future.

In today’s edition:

Hayden Field, Dan McCarthy

AI

Building the AI DJ

Spotify DJ Hannah Minn

“What’s going on? I’m X, and from this moment on, I’m gonna be your own personal AI DJ on Spotify. Let’s go.” —Spotify’s new AI DJ, by way of a greeting

The feature, which debuted on February 22, is fueled by years of Spotify machine learning and user listening data—think: The songs you played on repeat in 2018, or the new genre you’ve been into lately—and generative AI from Sonantic, the voice AI company Spotify acquired last summer for a reported ~$95 million.

In the time between the AI DJ’s release and the beginning of March, it saw a notable number of return users: “On days when users tune in, fans spend 25% of their listening time with DJ,” Spotify stated in a blog post.

  • The post goes on to say that more than half of first-time listeners used the DJ again the following day.

Spotify has leaned into personalization tech for years, but the past six months—since the Sonantic acquisition—allowed for the generative AI piece of the puzzle and made the feature possible as it works today, according to Zaid Sultan, Spotify’s vice president of personalization.

“From then on, we had that extra magical piece—that was the super realistic but also emotive voice,” Sultan told us. He added: “The last six months are when the generative AI piece has, maybe, been a more prominent part of the story.”

Keep reading here.HF

        

TOGETHER WITH ZENDESK

Toss your hat in the ring

Zendesk

You deserve to know what’s coming next in the world of intelligent CX. So go ahead and nominate yourself to attend Zendesk Relate, the CX leader’s annual user conference.

Successful applicants will join 300 other business leaders in San Francisco on May 10 for Zendesk’s flagship conference. You’ll enjoy an interactive agenda of keynotes and meetings with experts to learn more about the latest in CX, including:

  • how intelligent CX will change the customer journey
  • Zendesk’s plans for AI and data security—and how you’ll be able to use it
  • thought leadership from industry experts

And the best part? You’ll connect with fellow business leaders who just get it.

Nominate yourself.

*This is an exclusive event tailored to executives. Please submit nominations for senior leaders only.

READER SPOTLIGHT

Coworking with Alexander Kerman

Coworking with Alexander Kerman Alexander Kerman

Coworking is a weekly segment where we spotlight Emerging Tech Brew readers who work with emerging technologies. Click here if you’d like a chance to be featured.

How would you describe your job to someone who doesn’t work in tech?

I make healthcare data more accessible and more private by spreading the use of a new technology: synthetic data.

Synthetic data is realistic but not real, meaning it contains all of the insight of real data without containing a single real person’s information. Syntegra creates synthetic data using generative AI to make healthcare innovation easier, faster, and—crucially—safer.

What’s your favorite emerging tech project you’ve worked on?

Syntegra’s synthetic-data approach, far and away. I’ve never been involved in something that could help so many people in so many ways.

Second place: Launching a digital pathology startup to build infrastructure for diagnostic innovation. Like Syntegra, the goal here was to unleash data for AI/ML-driven innovation.

Third: a research project on a clinical decision support tool (basically helping doctors make better treatment decisions), which showed how these tools can double appropriate treatment choices.

What emerging tech are you most optimistic about? Least? And why?

Most? Synthetic data. For AI to get out of the lab and into production, you need model training to be easy, but data is expensive (and, in healthcare, inaccessible). Some synthetic-data startups have already shown the impact in other spaces, but the potential in healthcare is enormous.

Least? Computational biology. Computational biology is the concept of simulating biological processes—basically, re-creating life on a chip. While there are some areas where this will work in the short term—especially around simpler things like protein-folding—I’m pretty suspicious that we’re anywhere close to modeling more complex biological processes with enough detail to find new drugs. There’s just way too much going on, and the unknown unknowns are mind-boggling—but if I’m wrong, the potential impact is equally mind-boggling.

What’s the best piece of tech-related media you’ve read/watched/listened to?

The Master Algorithm by Pedro Domingos changed the course of my life. A friend of mine who is a product manager at Microsoft gave it to me during med school, right when I was starting to realize I didn’t love clinical medicine. The clear explanations made the beautiful simplicity of machine learning so alluring that I knew I had to find a way to combine ML and healthcare in my career—which I eventually did after a pit stop in consulting.

        

TOGETHER WITH MONOGRAM

Monogram

This surgical robot is like something from the future. Joint replacement technology (think: knees + hips) has lacked any major innovation for decades. That’s why Monogram is developing precision surgical robots and tech that will 3D-print custom joint replacements for patients. Currently, you have the chance to invest in Monogram ahead of their intended Nasdaq listing.

BITS AND BYTES

Apple solar farm Apple

Stat: 2.3%. That’s the average decline in property value of homes within a quarter-mile of utility-scale solar farms documented by a research team in a recent survey.

Quote: “Are we out of a drought? Mostly—but not completely,”—California Gov. Gavin Newsom, marking the easing of some drought restrictions in the state

Read: A coastal city in Portugal is offering residents the option to participate in its budgeting process for urban projects—how it works is the focus of this delightful new feature in the New Yorker.

Bye-bye, bugs: Don’t waste your developers’ time with troubleshooting and squashing bugs. QA Wolf gets you to 80% automated end-to-end test coverage in 4 months, getting your developers back to what they do best. Book a demo.*

*This is sponsored advertising content.

WHAT ELSE IS BREWING

  • The Consumer Product Safety Commission is moving to expedite its ability to warn the public about potential consumer safety concerns, NBC News exclusively reported.
  • Terraform Labs founder Do Kwon has been charged with multiple counts of fraud by federal prosecutors.
  • GM’s Cruise autonomous robotaxis blocked traffic following inclement weather in San Francisco last week.
  • California farmers are making use of water capture systems to both manage flooding and prepare for times of drought.

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✳︎ A Note From Monogram

This is a paid advertisement for Monogram Orthopedics’ Regulation A+ offering. Learn more at invest.monogramorthopedics.com/disclaimers.

         

Written by Hayden Field and Dan McCarthy

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