CJBS+: Exploring the potential and pitfalls of generative AI
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00366696" target="_blank" >RIV/68407700:21230/23:00366696 - isvavai.cz</a>
Result on the web
<a href="https://www.jbs.cam.ac.uk/insight/events/online-alumni-event-cjbs-24-hour-lifelong-learning-pilot/" target="_blank" >https://www.jbs.cam.ac.uk/insight/events/online-alumni-event-cjbs-24-hour-lifelong-learning-pilot/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
CJBS+: Exploring the potential and pitfalls of generative AI
Original language description
The session will explore the potential applications of generative AI and its impact on businesses and product development. This session is ideal for alumni interested in the latest developments in AI technology and its potential applications. Attendees will gain insight into the challenges and limitations of using generative AI in products and the potential pitfalls that companies may face when adopting AI. This session is also relevant for entrepreneurs and business leaders who want to learn more about how AI is being used and deployed across various companies. Join us for an engaging and informative discussion on the exciting world of generative AI
Czech name
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Czech description
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Classification
Type
W - Workshop organization
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Event location
University of Cambridge, Judge Business School
Event country
GB - UNITED KINGDOM
Event starting date
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Event ending date
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Total number of attendees
500
Foreign attendee count
500
Type of event by attendee nationality
WRD - Celosvětová akce