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World Congress 2021 • Jul 1, 2021

Developing an AI.SDK

Daniel Graff , Andreas Wittmann

Deploying safety-critical AI to millions of vehicles requires bridging cloud-native scale with embedded constraints. Explore how CARIAD's dual-component AI SDK optimizes neural training and in-car execution.

Starting at 30:00 · Watch from the beginning

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Matching moments

2:21 min

Introduction to machine learning in the automotive industry

Jan Zawadzki · LIVE

3:16 min

Driving developer productivity with AI in automotive tech

Mike Butcher Mike Butcher +3 · World Congress 2024

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10:40 min

Evaluating automotive software architectures and backend technologies

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Introduction to safety-critical machine learning in automotive contexts

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Exploring modern AI SDKs and production deployment challenges

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Upcoming sessions on this topic

Open session

Engineering AI Strategy: Beyond the Hype

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Build Otto: Ship an AI Agent Without Redeploying

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Beyond vibe coding: Mastering the AI-native SDLC from code to production

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