GENERATIVE AI CONFERENCE
Hosted the first Generative AI Conference in London, in June 2023 in Partnership with Informa, at AI Summit. The two event focused on the impact of Generative AI on the Creative Industries and AI Ethics. With 200 attendees, 45 sponsors and 20 speakers the event was a hit!
The Art of Algorithms: Thriving in the age of Creative AI
DOMUS ACADEMY MILANO
Exploring how AI is reshaping creative industries, highlighting both opportunities and challenges.
Generative AI: Introduces tools that generate original content—images, text, music—transforming creative workflows.
Impact on Creative Processes: Examines AI’s role in storytelling, film, media, product design, and fashion, where it augments human imagination.
Future of Creativity: Argues that humans remain essential as curators and editors, predicting that handmade and artisanal crafts will become luxury markers in an AI-driven world.
AI Influencers: Explains the rise of AI-created influencers and the legal issues surrounding identity, likeness, and celebrity rights.
Gaming & Simulated Worlds: Describes AI’s ability to construct immersive virtual worlds and generate lifelike “agents” that simulate human behavior.
Generative IP & Synthetic Media
2021.ai
This presentation explores how generative AI is transforming creative industries and raising new intellectual property (IP) challenges.
The Rise of AI Creators: Defines “AI Creators” who use prompt engineering to produce art and media.
AI-Generated Media Growth: Notes the explosive scale—15 billion AI images created in 2023 alone.
Copyright Challenges: US law still requires human authorship, creating uncertainty for AI-generated works.
Generative IP: Suggests a new category of IP to protect AI models and training data.
Patent Eligibility: Highlights global debate—some countries recognize AI as inventors, while others restrict patents to humans.
Overall takeaway: Generative AI is reshaping both creative output and the legal frameworks around ownership, requiring new forms of intellectual property protection.
Would you like me to also create a comparison chart showing how different countries currently handle AI copyright and patents?
The Age of fashion Ai
e2 Networks
Francesca Taber explores how AI is reshaping the fashion sector, from luxury maisons to consumer brands.
Luxury Fashion Brands: Examines how heritage and craftsmanship can safeguard luxury houses as they adapt to AI-driven disruption.
Consumer Brands: Shows how AI enables trend forecasting by analyzing social media and cultural data.
Virtual Try-on: Notes the promise and technical challenges of digital try-on technologies.
Inclusive Datasets: Stresses the need for diverse, representative datasets in fashion AI.
AI and Design: Demonstrates how generative AI transforms design by creating garments directly from text prompts.
Overall takeaway: AI offers powerful tools for fashion—from data-driven insights to design generation—but long-term success requires balancing innovation with inclusivity, heritage, and human creativity.
Would you like me to refine this into a short webinar recap post for LinkedIn that you could share with your audience?
PRODUCT DESIGN
MIDJOURNEY | STABLE DIFFUSION | NANO BANANA | LEONARDO | COMFY UI
BROADCASTING
LIVE STREAMING | OTT | VIRTUAL PRODUCTION | MOTION CAPTURE | GAUSSIAN SPLATTING | PTZ CAMERAS
MOTION CAPTURE
MOVE.AI
I worked closely with Move.ai to refine and execute their go-to-market (GTM) strategy by aligning their innovative markerless motion capture technology with the needs of key industry segments such as entertainment, live events, and sports. Through deep market analysis and customer segmentation, I helped them craft clear value propositions that highlight their unique capabilities like single-camera motion capture and real-time tracking. I designed tiered pricing models and identified the most effective sales and distribution channels—including direct enterprise sales, online self-service, and strategic partnerships—that would maximize market reach. Additionally, I developed targeted marketing initiatives focused on thought leadership, community building, and event participation to accelerate demand generation. My support ensured Move.ai could confidently position itself for scalable growth while delivering measurable business impact.
I supported Move.ai by facilitating hands-on motion capture (mocap) shoots, ensuring seamless integration of their markerless technology in real-world production environments. By coordinating sessions and optimizing workflows, I helped capture high-quality motion data that met the creative and technical needs of their clients. Additionally, I collaborated closely with Unreal Engine developers to translate this motion data into compelling, lifelike animations, bridging the gap between mocap capture and real-time visualization. This collaboration enabled Move.ai to showcase the full potential of their technology in interactive and immersive applications, strengthening their position in the entertainment and live event markets.