Leif Lindner, Annika Grosse & Alejandro Saucedo
Intelligence Everywhere: The Future of Consumer Tech
#1about 2 minutes
Defining what intelligence everywhere means for consumers
True intelligence in AI requires grounding in proper data and effective human-AI collaboration, not just isolated smart features.
#2about 4 minutes
Overcoming challenges in cross-channel hyper-personalization
Brands struggle to create a unified customer experience by connecting data from different channels and bridging offsite and onsite interactions.
#3about 4 minutes
Empowering retail employees with real-time AI assistance
An in-ear AI assistant called "My Buddy" provides Media Markt employees with product information and sales guidance to improve customer interactions.
#4about 5 minutes
How AI powers e-commerce from logistics to discovery
AI optimizes backend operations like logistics and packaging while enhancing the customer-facing experience through conversational fashion assistants and virtual try-ons.
#5about 3 minutes
Bridging the gap between online and in-store shopping
The concept of an "abandoned conversation" extends the online "abandoned cart" idea to physical stores by using AI to track and follow up on in-person sales discussions.
#6about 5 minutes
Separating generative AI hype from foundational value
While generative and agentic AI are overhyped, the real business value currently comes from foundational ML in areas like search, forecasting, and optimization.
#7about 3 minutes
The future of retail depends on human-AI collaboration
The future of intelligent retail lies in a strong partnership between humans and AI, where technologists play a key role in creating these integrated experiences.
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Jobs that call for the skills explored in this talk.



AI Integration Engineer
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API
Python
JavaScript
Amazon Web Services (AWS)
Scripting (Bash/Python/Go/Ruby)

Applied Scientist (GenAI & Computer Vision) - Size & Fit (All Genders)
Zalando SE
Intermediate
Python
PyTorch
Computer Vision




