Speaker Biographies

 

Austin Beaulier
Photogrammetry Artist and 3D Specialist, USA
The World is Your Asset Pack: Transforming Images and Videos into 3D Worlds

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This talk puts forth the idea that artificial intelligence is most powerful for artists when it is used to transform real-world inputs, rather than generate content from scratch. It presents repeatable workflows that keep human artists in the loop, leveraging a combination of paid and open-source tools (including Blender, Adobe Substance, Unreal Engine, and various large language models) to convert photographs, videos and physical objects into finished 3D assets, scenes, and interactive experiences. Through case studies of viral social videos, the session demonstrates a complete progression from single-image material creation to AI pipelines that produces assets suitable for film, gaming, and mixed reality media.

 

Furthermore, the presentation explores how AI-assistant layout and scripting can accelerate scene blocking when recreating iconic sets and spaces. The core of these workflows is to increase iteration speed while ensuring the human artist remains central to the creative process, preserving their authorship and artistic voice.

 

The talk provides tangible value for two key audiences. For artists, it offers a practical demonstration of workflow optimization, supported by audience engagement metrics and a cost-time analysis against traditional manual baselines. For educators and humanists, it addresses the challenge of applying scholarly standards to digital objects by introducing a classroom template for documenting sources, licensing assets, and establishing provenance. 

 

Attendees will leave with practical workflows, effective prompts, and ethical checklists for capture, transformation, composition and publishing, enabling faster, more innovative creation without compromising artistic vision or integrity.

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Chetan Gupta
Hitachi America, USA
Introduction to AI for the Industrial World

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Mario Schlener
Evolver, USA

How to Scale Enterprise Adoption of AI and GPT Technologies “Machine Intelligence” TODAY and Not Waiting for AGI to Happen TOMORROW

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The biggest blocker yesterday, today and also tomorrow will be the acceptance, trust and openness to unlearn behaviours of Humans to use and experiment with Machine Intelligence driven processes and systems – similar to using a driver-less car vs. a taxi or uber and feel confident that we are safe using the driver-less car trained on billions of safety scenarios i.e. at least safe in the same way or even better off compared to rely on a taxi or uber managed by a human that we don’t know apart from his rating on the app. Thus how do we build Machine Intelligence systems that have the capability to generate and gain the trust of Humans using it? To develop proper Machine Intelligence systems the fundamental constraints of Machine Intelligence (i.e. Intelligence is based on Logic Inspired Approach or Biologically Inspired Approach) has to be understood, appropriately addressed and mitigated. The two different paradigms for Intelligence: 1.) Logic Inspired Approach and 2.) Biologically Inspired Approach need to be well understood to manage the common known formal and informal fallacies of Machine Intelligence systems i.e. Multi-Agentic Systems, LLMs, etc.

 

Will share examples of core fundamental epistemological limitations of LLMs and how to manage them to make AI and GPT technologies ready of enterprise use TODAY.