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When Sense-Making Meets Machine Learning

Yulya BespleMennova

yulya beplemenova is right. It is no coincidence that the Large Language Models have become central for those who work in Service Design.

is the third episode of Desain-The Future Alchemy , and this time we explore what happens when Sense-Making and Machine Learning meet. Me, Yulya BespleMennova ( obloor ) and Aida, which reminds us how absurd it is to call her "she".

Ernesto Belisario - 001 - Cristiano Ronaldo non ha Superato il test di Turing

Orchestrating or Augmenting?

Yulya is a service designer and Researcher in Milan, specialized in processes that transform chaos in sense through visual and narrative tools.

for years has been experimenting with the integration of AI in design Research, from the custom GPT to process interviews with the delicate art of "humanizing" the insights generated by artificial intelligence. Voices that manages to balance practicality and philosophy when it comes to designing with machines. Synthesis

  • The paradox of customers who want "faster and cheaper because there is the Ai"

  • The democratization of research vs. The devaluation of skills

  • design services for Human-Ai ecosystems instead of only human-hcent

  • The future of the designer's work: orchestrators or amplifiers? Reflect:

  • "there is no unique" - AI in design has no universal formulas, requires continuous experimentation and adaptation to the context

  • "good enough is not enough" - the risk that automation will bring to a culture " Instead of design excellence

  • "Mental Models Matter" - Understanding how "thinks" is fundamental as to understand how people think for which we design

  • is not a conversation for those looking for certainties. It is an invitation to navigate uncertainty with better tools.

    Yulya BespleMennova

    Partner and Complexity & Innovation Expert @Oblo

    Yulya is designer and researcher specialized in the exploration of emerging technologies, complex systems and innovation of services. He dedicates himself to guiding the designers through the complexities of the AI, developing methods and practical tools to move the practice of design from Human-Atared thought to planetary thought. He has experience in different sectors - since startups to international organizations - and actively shares his knowledge through teaching, professional training and interventions in global conferences on the design enabled by AI.

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    Desain is my way to study the relationship between design and artificial intelligence, I am interested in exploring boundaries, approaches, mixes and alchemy. If you want to be there, tell me about your concoction and what you have learned.

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