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Transformed: Moving to the Product Operating Model  Audio CD: Unabridged, March 12, 2024 by Marty Cagan    Help transform your business and innovate like the world's top tech companies!   Help your company innovate like the leading IT businesses in the world and alter it! Product thought leader Marty Cagan shared the strategies and best practices employed by the top product teams using the product model in INSPIRED. Afterwards, EMPOWERED disseminated the finest methods and strategies employed by leading product executives to furnish their teams with the ideal atmosphere required for success within the product framework. Transformed: Moving to the Product Operating Model was written to bridge the gap between where most companies are right now and where they need to be. The leaders of these companies know they must transform to compete in an era of rapidly changing enabling technology, but most of them have never operated this way before. Transformed has three big goals: ● First, the book will educate you with a deep understanding of the product operating model, and what it means to work that way. ● Second, the book will convince you with detailed case studies of successful transformations that, while difficult, it is absolutely possible for you to transform your company to the product operating model. ● Third, the book will inspire you with truly impressive case studies of product innovation, showing what you too will be capable of doing once you successfully transform. Written by bestselling author Marty Cagan and his partners at the Silicon Valley Product Group, Transformed is filled with real-world examples and proven, practical advice from their decades of experience helping companies move to the product operating model.

 In this episode we dive into the controversial debate about how to regulate Big Tech. https://lnkd.in/d6Vi43m7

First experiment with #AIvideo, starting with the image generated by #MidJourney, the audio generated by #ElevenLabs, the video generated by #Hedra, and upscaling + frame interpolation done using #TopazLabs.

Have you signed up our webinar? We'll show how our new SyncUP #synclicensing workflow tool helps you go from pitch to license in 3 easy steps: 1. Create an opportunity from a brief 2. Find and pitch the perfect track with AIMS 3. Auto populate your quotes and licenses

An overview of Spotify recommendation algorithms, with special focus on content filtering and its drawbacks and alternative approaches. #recommendation #algorithms https://lnkd.in/d_Crk2rF

The Hidden Math Powering Your Playlists 🎧 Ever wonder how your favorite songs come to life with such crystal-clear audio? 🤔 It's not magic, it's math! 🧮 Digital audio relies heavily on mathematical concepts like Fourier transforms and discrete-time signals to convert sound waves into digital information we can store and play back. 🎶 These principles allow us to manipulate audio in countless ways, from applying cool effects to compressing files for easy sharing. Want to dive deeper into the fascinating world of digital audio and its mathematical foundations? Check out my site enochchan01.com for more insights. #DigitalAudio #Mathematics #SignalProcessing #SoundEngineering #TechTalk

Sync smarter, not harder ⚡💡 Say goodbye to endless spreadsheets - manage all your sync opportunities in one place and quote, license, and invoice in just 5 minutes with SyncUP. Teams using SyncUP are seeing 6-figure savings (on average) while effortlessly scaling their operations. Learn more: https://lnkd.in/egAN9PGk #synclicensing #musiclicensing #musicindustry #musictech

As promised: more tech transfer thoughts! 🚀 After the basic elements of an agreement in the first post - this time the question is: What's a good agreement for my case? And what are the myriad of questions and points I should consider to evaluate what things are most important in determining 'good' for myself? 🔍 If I am missing anything on the checklist, let me know! https://lnkd.in/esjsPzVM

Lenny's podcast is simply amazing! This episode on A/B testing is something all product managers and business orientated roles should listen to. So much value packed in one episode. Here are some thoughts on A/B testing from my experience over the years: A/B testing is truly amazing as it gives you unprecedented information to make informed decisions based on real data rather than relying on assumptions or intuition. It enables you to gain valuable insights into what works best for their audience. Efficient and good optimization leads to higher conversion rates, increased user engagement, and ultimately, improved business performance. However, despite its potential, I have seen so many companies and teams fail to implement A/B testing properly. Some of the common failures I have seen over the years: 1. Insufficient Sample Size: A significant number of teams test their variants on too small a sample size, leading to inconclusive or inaccurate results. To get reliable insights, it's crucial to test on a statistically significant audience. 2. Testing Too Many Variables: When testing multiple variables simultaneously, it becomes challenging to identify which one influenced the outcome. Focusing on one variable at a time ensures clarity in the results. If there are too many to keep in your head, then there are too many to test. 3. Inadequate Planning: Without a well-defined testing plan and objectives, you might end up with inconclusive data or test variations that are not relevant to their goals. 4. Ignoring Segmentation: Not segmenting the audience properly can lead to misleading results. Different user groups might respond differently to variants, so use segmentation! 5. Ignoring Long-term Impact: Some teams focus solely on short-term gains without considering the long-term effects of their decisions. It's crucial to assess how changes from A/B tests may impact user behavior over time. 6. Overlooking Mobile Users: With the rise of mobile usage, neglecting A/B testing for mobile platforms can be a significant missed opportunity as the user base is just so massive. 7. Disregarding Qualitative Data: A/B testing provides quantitative data, but qualitative insights from user feedback and surveys can offer a deeper understanding of user preferences and motivations. To really derive value from the power of A/B testing, teams must approach it with a clear plan, adequate resources, and a willingness to learn and iterate. Above all else, have a well thought hypothesis and test it properly. #abtesting #productdevelopment #productmanagement