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Summary
How can we communicate research and design insights to leadership in a way that drives action? This session shows how creatives can communicate real-world observations into compelling, story-driven solutions. We’ll share how to visualize problem sets and present designs that engage stakeholders and demonstrate clear value. Through project examples and live demos, attendees will learn how to generate better ideas, explore new ways of pitching work, and use visual storytelling to make problems and solutions instantly understandable.
Key Insights
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Generative AI tools can reduce manual workload in animation and design by about one-third when integrated thoughtfully.
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3D modeling backgrounds early in a project allows for reusable assets and flexible scene composition.
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Training AI tools like Midjourney on a studio’s own visual style ensures consistency and unique output.
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Creating AI-driven conversational characters enhances accessibility and empathy in storytelling, especially in healthcare.
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Use of AI voice generators (like 11 Labs) helps produce realistic dialogues from patient interviews quickly.
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AI coding assistants like Cursor enable rapid transformation of static designs into interactive prototypes.
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Clients initially surprised by AI-driven presentations quickly embrace them when involved transparently in the process.
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Generative AI expands design exploration and enables faster iteration but requires designer curation to maintain quality.
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AI democratization can increase client involvement early, accelerating design decision-making and co-design.
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Despite speed gains, designers must showcase the iterative process to manage client expectations and maintain strategic focus.
Notable Quotes
"I haven’t gone more than one day without seeing a new gen AI tool that promises to do it all with a single prompt."
"If we invest early time building a detailed 3D model, we can endlessly capture backgrounds and test compositions."
"What if we trained Midjourney on our own style? That felt more ethical and right for our project."
"Static posters started to feel limiting for complex healthcare stories that needed to move and react."
"Feeding interview data into ChatGPT helped us develop realistic character profiles and dialogues."
"Using tools like 11 Labs, we instantly generated voices with emotion and appropriate cadence for characters."
"Cursor is super transparent about what files it creates and how it builds the logic step by step."
"This process isn’t about replacing designers, it’s about augmenting and amplifying what we can do."
"Clients got used to AI-driven storytelling pretty quickly when involved in weekly progress updates."
"We have to show clients the hundreds of sketches and iterations behind the AI-generated outputs."
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