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Magnus Östberg
Hello from China to all auto enthusiasts - always great to be here. I have been busy at #AutoShanghai meeting with partners, participating in valuable interviews and, of course, visiting the trade fair to personally experience all the latest technology in the world of mobility.
It is our aim at #MercedesBenz to create an unsurpassed in-car digital experience that integrates all vehicle functions with our own MB.OS operating system. We must deliver many high-quality software products quickly to remain ahead of our competition.
Therefore, developer productivity has become a leading priority as we transition to software-first vehicles. The first step is giving our developers tools that help them improve agile efficiencies, including the ability to quickly pivot direction based on consumer demand and our product review processes.
This dedication to regional software development is made clear by our new Localization and R&D Centre right here in #Shanghai, which specializes in smart car features and automated driving. Here we are building dedicated software with real-time 3D content and an enriched user interface (UI) for automated driving functions based on Alibaba’s AMAP data, including lane-level map views specific to our customers here in China.
A precursor to our upcoming MB.OS will also be available early next year in China. It is a rich entertainment ecosystem, including an integrated MBUX API that makes it easy to directly install Android apps. Dedicated apps will include content from Tencent Video, WeChat, QQ Music and Ximalaya internet radio, with many more to come.
To further enable our digital future, we will also be introducing Abacus, a scenario-based AI integration platform that provides a highly customized experience to meet the demands of localized customers. And we are just getting started!
![abacus.ai](/proxy.php?image=https%3A%2F%2Fabacus.ai%2Fstatic%2Fog%2Fog_about.jpg&hash=fd32a645f40ab1b3652d1b081d571f68&return_error=1)
Abacus.AI - About
Abacus.AI is the world’s first AI platform where AI, not humans, build Applied AI agents and systems at scale. Using generative AI and other novel neural net techniques, AI can build LLM apps, gen AI agents, and predictive applied AI systems at scale.