15. Generative AI
ar·ti·fi·cial in·tel·li·gence
noun
noun: artificial intelligence; noun: AI
the theory and development of computer systems able to perform tasks that normally require human
intelligence, such as visual perception, speech recognition, decision-making, and translation
between languages.
Oxford Languages
AI
generative AI is a type of artificial intelligence technology that can produce various types of content including
text, imagery, audio and synthetic data.
noun: a system that emulates aspects of human intelligence
Defined by Dr Ahmed Zaidi in BOF Professional Summit
noun
https://www.businessoffashion.com/events/technology/professional-technology-
summit-learning-artificial-intelligence-web3-impact-fashion/
Focus
16. 1950: Alan Turing publishes Computing Machinery and
Intelligence
https://www.britannica.com/technology/artificial-intelligence/Methods-and-goals-in-AI
1956: John McCarthy coins the term 'artificial intelligence' at
the first-ever AI conference at Dartmouth College
50s
1980s: Neural networks which use a back propagation
algorithm to train itself become widely used in AI
applications.
“deep learning” techniques allowed computers to learn
using experience.
1960-70s: Machine learning algorithms improved and
people got better at knowing which algorithm to apply to
their problem
https://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/
60-70s
80s
2016: DeepMind's program, powered by a deep neural
network, beats world champion Go player, in a five-game
match. The victory is significant given the huge number of
possible moves as the game progresses (over 14.5 trillion after
just four moves!). Later, Google purchases DeepMind for a
reported USD 400 million.
2016
Focus
2019 https://builtin.com/artificial-intelligence
Collect huge amounts of data
18. Focus
https://www.simplilearn.com/tutorials/deep-learning-tutorial/what-is-deep-learning
deep learning
Generative AI
Deep learning has aided image classification,
language translation, speech recognition. It can be
used to solve any pattern recognition problem and
without human intervention.
is a field that is based on learning
and improving on its own by
examining computer algorithms.
imitate how humans think + learn.
Big
Data
analytics have permitted larger,
sophisticated neural networks,
allowing computers to observe,
learn, and react to complex
situations faster than humans.
19. LLaMA
Applications
an experimental Google chatbot that is
powered by the LaMDA large language model.
a new version of its Bing search engine that
included a chatbot powered by OpenAI's GPT-4
language technology.
https://www.cnbc.com/2023/03/16/microsoft-to-improve-office-365-with-chatgpt-like-generative-ai-
tech-
.html#:~:text=In%20February%2C%20Microsoft%20debuted%20a,OpenAI's%20GPT%2D4%20language%20t
GPT (4)
copilot
LLaMA
intended to aid scientists and engineers in
exploring AI applications and functions such as
answering questions and summarizing
documents
https://www.entrepreneur.com/business-news/metas-unveils-new-large-language-model-
llama/446469
20. DALL·E from Open Al
DreamStudio from Stable Diffusion(Stability Ai)
https://zapier.com/blog/best-ai-image-generator/
MidJourney from Discord (beta)
Text-to-image
Applications
22. Generative AI
Prompts are crucial
Muslim girl wearing
avant -garde Rick Owens
clothing, Yohji Yamamoto
and Comme Des Garcon
clothing ina dynamic
high-movement, JoJo
pose, 4K, 8K
Chewbacca in
Rick Owens
G-Ai
24. Applications
According to Servion Global Solutions,
by 2025, 95% of customer
interactions will be powered by AI.
https://www.simplilearn.com/tutorials/artificial-intelligence-tutorial/artificial-intelligence-
applications
https://www.businessoffashion.com/events/technology/professional-technology-summit-learning-artificial-intelligence-web3-impact-fashion/
AI Application in E-Commerce
● Personalized Shopping
● AI-Powered Assistants
● Fraud Prevention
https://www.forbes.com/sites/theyec/2023/02/21/artificial
● Supply Chain Management
● Marketing
25. Applications
automated shopping experiences to
voice-activated fittings
https://www.businessoffashion.com/events/technology/professional-technology-summit-learning-artificial-intelligence-web3-impact-fashion/
AI-enabled chatbots offer customers the
opportunity to shop in the convenience
of their own homes by providing
personalized recommendations,
interactive product displays and
styling advice
https://www.forbes.com/sites/forbesbusinesscouncil/2023/02/10/the-future-of-fashion-exploring-how-artificial-intelligence-is-transforming-the-
helping fashion entrepreneurs get closer
to their customers by providing greater
personalization and convenience
insights into customer behavior,
empowering fashion entrepreneurs to
create more relevant and better-
targeted marketing campaigns
30. Analysis
“I don’t believe these programs will become sentient. They can only pull from
data provided and will follow the paths and directions of that data.”
Bridget McInnes Ph.D.
31. Analysis
“There is a gap between what people wear and what they look like on social
media or the metaverse. There is a growing divide. How will we use AI in fashion
to bridge that? Is it the data sets? Fit? It will be useful in the backend, with supply
chain and how garments will produced more efficiently.”
Sylvia Heisel