About The Gen AI Con

The ultimate Generative AI Media, Marketing & Creative Conference connecting leader, founders and investors for 2 days of networking and discussions.
Founded by Francesca Tabor and backed by Extreme International.
The Generative AI Media, Marketing & Creative Conference is a premier event dedicated to exploring the ever-growing intersection of artificial intelligence and creative industries. The conference brings together thought leaders, entrepreneurs, intellectuals, technologists, and creatives to share their knowledge and insights on how AI is transforming various domains such as film, music, video creation, TV, social media, fashion, and video gaming.
The two-day conference promises to be an engaging and informative event that explores the latest trends and innovations in AI and the creative industries. Attendees will have the opportunity to learn from industry experts who will share their experiences, insights, and knowledge on how AI is changing the way we create, distribute, and consume content.
The conference features keynote speeches, panel discussions, and workshops on a wide range of topics such as generative adversarial networks (GANs), natural language processing (NLP), computer vision, and machine learning. These sessions are designed to give attendees a deep understanding of how AI is transforming the creative industries and the various applications of AI in these domains.
The Generative AI Media & Creative Conference also provides ample networking opportunities for attendees to connect with like-minded individuals, industry experts, and potential collaborators. Attendees can interact with industry leaders and experts, exchange ideas, and discuss potential partnerships or collaborations. The conference aims to foster an environment of innovation and collaboration, where attendees can learn from each other and explore new ideas and opportunities.
The Generative AI Media & Creative Conference is an ideal event for entrepreneurs, technologists, creatives, and anyone interested in the creative industries and AI. Attendees will gain valuable insights and knowledge that can help them stay ahead of the curve in this rapidly evolving industry. They will also have the opportunity to network with industry leaders and experts, and explore potential collaborations and partnerships.
In summary, the Generative AI Media & Creative Conference is a must-attend event for anyone interested in the intersection of AI and creative industries. With its engaging sessions, informative workshops, and ample networking opportunities, the conference promises to be an enriching and rewarding experience for all attendees.

What is Generative AI?


Generative AI is a type of artificial intelligence that involves creating new content, such as images, text, or music, that did not exist before. It uses algorithms to generate original content that mimics human creativity and can be used in various applications, such as art, music, and design.

A Creative New World

"This first wave of Generative AI applications resembles the mobile application landscape when the iPhone first came out—somewhat gimmicky and thin, with unclear competitive differentiation and business models. However, some of these applications provide an interesting glimpse into what the future may hold. Once you see a machine produce complex functioning code or brilliant images, it’s hard to imagine a future where machines don’t play a fundamental role in how we work and create. If we allow ourselves to dream multiple decades out, then it’s easy to imagine a future where Generative AI is deeply embedded in how we work, create and play: memos that write themselves; 3D print anything you can imagine; go from text to Pixar film; Roblox-like gaming experiences that generate rich worlds as quickly as we can dream them up. While these experiences may seem like science fiction today, the rate of progress is incredibly high—we have gone from narrow language models to code auto-complete in several years—and if we continue along this rate of change and follow a “Large Model Moore’s Law,” then these far-fetched scenarios may just enter the realm of the possible."
Here are some of the applications we are excited about. There are far more than we have captured on this page, and we are enthralled by the creative applications that founders and developers are dreaming up. 
  • Copywriting: The growing need for personalized web and email content to fuel sales and marketing strategies as well as customer support are perfect applications for language models. The short form and stylized nature of the verbiage combined with the time and cost pressures on these teams should drive demand for automated and augmented solutions.
  • Vertical specific writing assistants: Most writing assistants today are horizontal; we believe there is an opportunity to build much better generative applications for specific end markets, from legal contract writing to screenwriting. Product differentiation here is in the fine-tuning of the models and UX patterns for particular workflows. 
  • Code generation: Current applications turbocharge developers and make them much more productive: GitHub Copilot is now generating nearly 40% of code in the projects where it is installed. But the even bigger opportunity may be opening up access to coding for consumers. Learning to prompt may become the ultimate high-level programming language.
  • Art generation: The entire world of art history and pop cultures is now encoded in these large models, allowing anyone to explore themes and styles at will that previously would have taken a lifetime to master.
  • Gaming: The dream is using natural language to create complex scenes or models that are riggable; that end state is probably a long way off, but there are more immediate options that are more actionable in the near term such as generating textures and skybox art.  
  • Media/Advertising: Imagine the potential to automate agency work and optimize ad copy and creative on the fly for consumers. Great opportunities here for multi-modal generation that pairs sell messages with complementary visuals.
  • Design: Prototyping digital and physical products is a labor-intensive and iterative process. High-fidelity renderings from rough sketches and prompts are already a reality. As 3-D models become available the generative design process will extend up through manufacturing and production—text to object. Your next iPhone app or sneakers may be designed by a machine.
  • Social media and digital communities: Are there new ways of expressing ourselves using generative tools? New applications like Midjourney are creating new social experiences as consumers learn to create in public.


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