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BEGIN:VEVENT
UID:20260527T045314Z - 35584@eu441a.odoo.com
DTSTART;TZID=Europe/Brussels:20260918T090000
DTEND;TZID=Europe/Brussels:20260925T130000
CREATED:20260527T045314Z
DESCRIPTION:<a href="https://www.sustain.brussels/event/ai-unpacked-a-hands
 -on-guide-to-understanding-evaluating-and-adopting-ai-221/register">AI unp
 acked: A hands-on guide to understanding\, evaluating\, and adopting AI</
 a>\nDo you want to make well-informed decisions about AI in your business\
 , but feel you lack the foundation to do so with confidence? This two-day\
 , hands-on workshop gives you a genuine understanding of how AI systems ac
 tually work under the hood\, an essential knowledge for any business leade
 r\, manager\, or professional who wants to evaluate\, adopt\, or oversee A
 I in a meaningful way. You will go well beyond the generative AI buzz to e
 xplore a broad range of AI techniques\, learn where data quality can make 
 or break a project\, and practice translating real business problems into 
 concrete computational challenges. No superficial overview\, but genuine d
 epth\, precisely what you need to engage with AI strategically and spot th
 e pitfalls before they become costly mistakes.What you will learn The work
 shop is structured around three core themes. Understanding AI. You will ge
 t a clear picture of the AI landscape\, going well beyond generative AI to
  cover a wide range of techniques and how they work. You will learn to dis
 tinguish between different methodologies\, understand their limitations an
 d strengths\, and set realistic expectations for what AI can and cannot do
 . Evaluating opportunities in your organization. You will practice transla
 ting business problems into computational tasks and evaluate the data requ
 ired to solve them\, assess where AI can genuinely add value (and where it
  cannot)\, and map out the full lifecycle of an AI-project\, from initial 
 ideation through to deployment and maintenance. Responsible adoption. You 
 will learn to anticipate common project pitfalls\, critically evaluate dat
 a quality\, and apply responsible AI principles around ethics\, privacy\, 
 and transparency. By the end\, you will have a clear framework for approac
 hing AI-adoption in your own context.Hands-on sessions The workshop is des
 igned to be practical throughout. Across the two days\, you will work [...
 ]
DTSTAMP:20260527T045314Z
LOCATION:BeCentral\, Cantersteen 12\, 1000 Bruxelles\, Belgium
SUMMARY:AI unpacked: A hands-on guide to understanding\, evaluating\, and 
 adopting AI
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.sustain.brussels/event/ai
 -unpacked-a-hands-on-guide-to-understanding-evaluating-and-adopting-ai-221
 /register">AI unpacked: A hands-on guide to understanding\, evaluating\, 
 and adopting AI</a>\nDo you want to make well-informed decisions about AI 
 in your business\, but feel you lack the foundation to do so with confiden
 ce? This two-day\, hands-on workshop gives you a genuine understanding of 
 how AI systems actually work under the hood\, an essential knowledge for a
 ny business leader\, manager\, or professional who wants to evaluate\, ado
 pt\, or oversee AI in a meaningful way. You will go well beyond the genera
 tive AI buzz to explore a broad range of AI techniques\, learn where data 
 quality can make or break a project\, and practice translating real busine
 ss problems into concrete computational challenges. No superficial overvie
 w\, but genuine depth\, precisely what you need to engage with AI strategi
 cally and spot the pitfalls before they become costly mistakes.What you wi
 ll learn The workshop is structured around three core themes. Understandin
 g AI. You will get a clear picture of the AI landscape\, going well beyond
  generative AI to cover a wide range of techniques and how they work. You 
 will learn to distinguish between different methodologies\, understand the
 ir limitations and strengths\, and set realistic expectations for what AI 
 can and cannot do. Evaluating opportunities in your organization. You will
  practice translating business problems into computational tasks and evalu
 ate the data required to solve them\, assess where AI can genuinely add va
 lue (and where it cannot)\, and map out the full lifecycle of an AI-projec
 t\, from initial ideation through to deployment and maintenance. Responsib
 le adoption. You will learn to anticipate common project pitfalls\, critic
 ally evaluate data quality\, and apply responsible AI principles around et
 hics\, privacy\, and transparency. By the end\, you will have a clear fram
 ework for approaching AI-adoption in your own context.Hands-on sessions Th
 e workshop is designed to be practical throughout. Across the two days\, y
 ou will work [...]
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