Many thanks to the Labour Government, MPs and peers that met with the Spotify team last week! Following conference season and last weeks discussions, here’s three quick reflections on UK tech policy: 1. Competition enforcement is going to be crucial for the long term growth of the UK tech industry, including the next generation of home-grown companies. Inward investment is great but competitive markets will be the foundation on which a new generation of tech companies will grow and scale. 2. The UK is going to have to be smart, nimble and innovative to remain a leading player in AI - global competition is fierce. 3. Boosting creative education and skills will be the foundation for realising the long-term (and vast) potential of the UK’s Creative industries. And thanks to the brilliant Spotify team for leading the way Daniel Ek Dustee Jenkins April Boyd
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There’s a sentiment going around that Spotify Wrapped was a bit boring this year. I’ve done my research, and here’s why this might be the case👇 1️⃣ Spotify made 2,300 layoffs in 2023 - pointing to a shift in AI usage to make up for these loses. 2️⃣ They leaned heavily into AI-generated features like "Listening Personalities" and "Sound Town." While innovative, the concept lacked the personal touch that made Wrapped feel special in previous years. 3️⃣ The feature seemed to focus more on packaging data into quirky formats rather than truly reflecting our unique music journeys. My Wrapped was a bit of a flop, but I think there are lessons from this that are applicable for businesses adopting AI: ✅ AI should enhance, not replace, human creativity. ✅ Balance efficiency with authenticity - people value feeling understood. ✅ Ensure AI-driven experiences reflect the nuance of your customers or audience. For those using Spotify, were you impressed or left wanting more? #data #ai #spotify #wrapped #spotifywrapped2024
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Have you heard about the Spotify model? There was information published about a model that Spotify used for their engineering teams that talked about mixing in horizontals effectively. It was incredibly effective and many different engineering organizations decided they'd go chase a similar pattern. Except... The information published *wasn't* that it was being used successfully! It was aspirational! While we think there are some very interesting takeaways from the model, it's a good reminder to not blindly copy+paste! ---- 👀 Check out the full video on our channel! 🗣️ Share with your network! #softwareengineering #engineeringmanager #engineeringmanagement
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Have you heard about the Spotify model? There was information published about a model that Spotify used for their engineering teams that talked about mixing in horizontals effectively. It was incredibly effective and many different engineering organizations decided they'd go chase a similar pattern. Except... The information published *wasn't* that it was being used successfully! It was aspirational! While we think there are some very interesting takeaways from the model, it's a good reminder to not blindly copy+paste! ---- 👀 Check out the full video on our channel! 🗣️ Share with your network! #softwareengineering #engineeringmanager #engineeringmanagement
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Have you heard about the Spotify model? There was information published about a model that Spotify used for their engineering teams that talked about mixing in horizontals effectively. It was incredibly effective and many different engineering organizations decided they'd go chase a similar pattern. Except... The information published *wasn't* that it was being used successfully! It was aspirational! While we think there are some very interesting takeaways from the model, it's a good reminder to not blindly copy+paste! ---- 👀 Check out the full video on our channel! 🗣️ Share with your network! #softwareengineering #engineeringmanager #engineeringmanagement
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Have you heard about the Spotify model? There was information published about a model that Spotify used for their engineering teams that talked about mixing in horizontals effectively. It was incredibly effective and many different engineering organizations decided they'd go chase a similar pattern. Except... The information published *wasn't* that it was being used successfully! It was aspirational! While we think there are some very interesting takeaways from the model, it's a good reminder to not blindly copy+paste! ---- 👀 Check out the full video on our channel! 🗣️ Share with your network! #softwareengineering #engineeringmanager #engineeringmanagement
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Have you heard about the Spotify model? There was information published about a model that Spotify used for their engineering teams that talked about mixing in horizontals effectively. It was incredibly effective and many different engineering organizations decided they'd go chase a similar pattern. Except... The information published *wasn't* that it was being used successfully! It was aspirational! While we think there are some very interesting takeaways from the model, it's a good reminder to not blindly copy+paste! ---- 👀 Check out the full video on our channel! 🗣️ Share with your network! #softwareengineering #engineeringmanager #engineeringmanagement
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Let’s talk about a frustrating user experience that I fixed with a few steps just like Spotify did it before! Imagine you're listening to your favorite playlist when suddenly, the music stutters or skips. This can be frustrating, especially if it happens frequently. The culprit? A bug in the code is responsible for buffering audio data. Sometimes, the smallest changes can have the biggest impact. Recently, I worked with a client on a platform with some frustrating bugs, similar to what Spotify might encounter. Inspired by Spotify's commitment to continuous improvement, I implemented a solution. The results were like striking gold! To tackle an issue my engineers implemented a clever programming fix inspired by Spotify. Here's a simplified breakdown: ➤ They pinpointed the exact part of the code causing the buffering problem. ➤ The code was optimized to handle audio data transfer more efficiently. This involved techniques like pre-fetching data chunks and reducing unnecessary processing steps. ➤ After the fix, rigorous testing was conducted to ensure smooth playback across different devices and network conditions. Spotify also implemented monitoring tools to track performance and catch any future issues early on. Following these, my client’s platform became “a user wonderland”, fostering engagement and leading to a dramatic increase in users!!! Let’s be honest in a tech life! Literally, minor improvements can have a major impact. #TechTips #TechFix #Tech4All #TechLeadership #CTOTalk #TechTalk
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Let’s talk about a frustrating user experience that I fixed with a few steps just like Spotify did it before! Imagine you're listening to your favorite playlist when suddenly, the music stutters or skips. This can be frustrating, especially if it happens frequently. The culprit? A bug in the code is responsible for buffering audio data. Sometimes, the smallest changes can have the biggest impact. Recently, I worked with a client on a platform with some frustrating bugs, similar to what Spotify might encounter. Inspired by Spotify's commitment to continuous improvement, I implemented a solution. The results were like striking gold! To tackle an issue my engineers implemented a clever programming fix inspired by Spotify. Here's a simplified breakdown: ➤ They pinpointed the exact part of the code causing the buffering problem. ➤ The code was optimized to handle audio data transfer more efficiently. This involved techniques like pre-fetching data chunks and reducing unnecessary processing steps. ➤ After the fix, rigorous testing was conducted to ensure smooth playback across different devices and network conditions. Spotify also implemented monitoring tools to track performance and catch any future issues early on. Following these, my client’s platform became “a user wonderland”, fostering engagement and leading to a dramatic increase in users!!! Let’s be honest in a tech life! Literally, minor improvements can have a major impact. #TechTips #TechFix #Tech4All #TechLeadership #CTOTalk #TechTalk
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Let’s talk about a frustrating user experience that I fixed with a few steps just like Spotify did it before! Imagine you're listening to your favorite playlist when suddenly, the music stutters or skips. This can be frustrating, especially if it happens frequently. The culprit? A bug in the code is responsible for buffering audio data. Sometimes, the smallest changes can have the biggest impact. Recently, I worked with a client on a platform with some frustrating bugs, similar to what Spotify might encounter. Inspired by Spotify's commitment to continuous improvement, I implemented a solution. The results were like striking gold! To tackle an issue my engineers implemented a clever programming fix inspired by Spotify. Here's a simplified breakdown: ➤ They pinpointed the exact part of the code causing the buffering problem. ➤ The code was optimized to handle audio data transfer more efficiently. This involved techniques like pre-fetching data chunks and reducing unnecessary processing steps. ➤ After the fix, rigorous testing was conducted to ensure smooth playback across different devices and network conditions. Spotify also implemented monitoring tools to track performance and catch any future issues early on. Following these, my client’s platform became “a user wonderland”, fostering engagement and leading to a dramatic increase in users!!! Let’s be honest in a tech life! Literally, minor improvements can have a major impact. #TechTips #TechFix #Tech4All #TechLeadership #CTOTalk #TechTalk
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Attention is to Big Tech what land was to feudal lords. When we’re enclosed within the walls of a digital fief, neither the old-fashioned commodity-producing capitalists nor the masters of manipulation they hire to advertise their wares can reach us. Unless the lords of these fiefs open the gates and let them in. Which, of course, they do – for a fee. So far, so feudal. What about the “techno” part? Well, once it has our attention, Big Tech can modify our behavior. Its algorithms first build trust. Spotify diligently learns what we like; Alexa helps us with chores. Then they nudge us to give up more information so they can cater to more of our whims. We’re training them to train us to train them. This cycle locks us into a fief. Even if Spotify’s sound quality is worse than its rivals’, users mostly won’t make the switch – those algorithms just don’t know them like Spotify’s does, after all. Copied - TechnoFeudalism
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Strategist | Design Council Trustee | EMBA
2moSorry to have missed you Tom - next time!