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Nightlife Street Style Photography

Clean the Sky - Positive Eco Trends & Breakthroughs

Ben de Biel Showcases Work at Creative Match Kreuzberg

— October 7, 2012 — Tech
Club owner, ex-squatter, photographer and singer Ben de Biel showcases his nightlife street style photography at the Creative Match Kreuzberg. The CMK x Ben de Biel collaboration has de Biel's work on display at one of the top galleries Berlin.

The gallery opened its doors for the German photographer and hosted an intimate display of de Biel's greatest shots. Ben de Biel is well known in the German club district, documenting the nightlife street style throughout his life. He revolutionized the Berlin district, Berlin Mitte and collected hundreds of photographs throughout his time. His interesting perspective on nightlife enhances the street style behavior. With fashion street style at the forefront of photography right now, this new wave is very refreshing.
Trend Themes
1. Nightlife Street Style - Disruptive innovation opportunity: Develop an AI-powered street style recognition app that can identify and analyze nightlife fashion trends.
2. Creative Match Kreuzberg - Disruptive innovation opportunity: Create a digital platform that connects emerging photographers with galleries and showcases their work in collaborative exhibitions.
3. Fashion Street Style - Disruptive innovation opportunity: Integrate virtual reality technology into fashion street style photography to provide immersive experiences for viewers and allow them to virtually explore the photographed scenes.
Industry Implications
1. Photography - Disruptive innovation opportunity: Develop AI-powered editing tools that can enhance and stylize nightlife street style photographs automatically.
2. Art Galleries - Disruptive innovation opportunity: Use blockchain technology to create digital certificates of authenticity for artworks displayed in galleries, ensuring provenance and eliminating counterfeit artworks.
3. Fashion - Disruptive innovation opportunity: Utilize artificial intelligence and machine learning algorithms to analyze fashion street style trends and provide real-time personalized style recommendations to consumers.
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