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DTSTART:20001029T030000
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BEGIN:VEVENT
UID:20261008T215121Z - 84361@eu441a.odoo.com
DTSTART;TZID=Europe/Brussels:20261112T090000
DTEND;TZID=Europe/Brussels:20261112T170000
CREATED:20261008T215121Z
DESCRIPTION:<a href="https://www.sustain.brussels/event/training-track-befo
 re-you-invest-in-ai-279/register">Training Track: Before You Invest in AI<
 /a>\nCOURSE DESCRIPTION Many SMEs want to use AI before their basic system
 s are in place. Orders are still retyped from emails\, the customer list e
 xists in several versions\, last year's figures are hard to find. In that 
 situation\, an AI project costs money and returns little\, whatever the to
 ol. This one-day session helps you check whether your company is ready\, a
 nd what to do first if it is not. You place your company on a five-level m
 aturity scale with yes/no criteria. You then test one of your own processe
 s: is it stable enough to automate\, is it a real bottleneck\, and would r
 emoving it increase your volume? From the answers\, you identify the two o
 r three things to put in place\, in order\, and what to postpone. The sess
 ion does not teach you to build AI. It helps you decide what to build firs
 t.COURSE CONTENT 1 Where you stand. The AI-Ready or Not scale: five levels
 \, yes/no criteria\, from paper to AI-ready. 2 What AI needs. What a worki
 ng system requires from your company: accessible data\, a stable process\,
  a responsible person. 3 Automate and scale. Three questions on one of you
 r processes\, four possible outcomes. 4 The shortest path. What to build\,
  in what order\, and what to skip. 5 What to postpone. What not to buy unt
 il the groundwork is done. LEARNING OUTCOMESAssess your company's digital 
 maturity against yes/no criteria Understand what an AI system requires fro
 m a company before it can produce results Apply the automate-and-scale tes
 t to one of your own processesRecognise which offers are premature at your
  levelSequence the steps to AI-readiness and compare them with what you we
 re about to spendPRACTICAL WORKSelf-assess against the five-level scale\, 
 evidence in hand Run one of your own processes through the automate-and-sc
 ale matrix\, and cost itBuild your sequence: three steps\, in orderDELIVER
 ABLESYour maturity level\, with the gaps namedYour outcome on the [...]
DTSTAMP:20261008T215121Z
LOCATION:BeCentral\, Cantersteen 12\, 1000 Bruxelles\, Belgium
SUMMARY:Training Track: Before You Invest in AI
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.sustain.brussels/event/tr
 aining-track-before-you-invest-in-ai-279/register">Training Track: Before 
 You Invest in AI</a>\nCOURSE DESCRIPTION Many SMEs want to use AI before t
 heir basic systems are in place. Orders are still retyped from emails\, th
 e customer list exists in several versions\, last year's figures are hard 
 to find. In that situation\, an AI project costs money and returns little\
 , whatever the tool. This one-day session helps you check whether your com
 pany is ready\, and what to do first if it is not. You place your company 
 on a five-level maturity scale with yes/no criteria. You then test one of 
 your own processes: is it stable enough to automate\, is it a real bottlen
 eck\, and would removing it increase your volume? From the answers\, you i
 dentify the two or three things to put in place\, in order\, and what to p
 ostpone. The session does not teach you to build AI. It helps you decide w
 hat to build first.COURSE CONTENT 1 Where you stand. The AI-Ready or Not s
 cale: five levels\, yes/no criteria\, from paper to AI-ready. 2 What AI ne
 eds. What a working system requires from your company: accessible data\, a
  stable process\, a responsible person. 3 Automate and scale. Three questi
 ons on one of your processes\, four possible outcomes. 4 The shortest path
 . What to build\, in what order\, and what to skip. 5 What to postpone. Wh
 at not to buy until the groundwork is done. LEARNING OUTCOMESAssess your c
 ompany's digital maturity against yes/no criteria Understand what an AI sy
 stem requires from a company before it can produce results Apply the autom
 ate-and-scale test to one of your own processesRecognise which offers are 
 premature at your levelSequence the steps to AI-readiness and compare them
  with what you were about to spendPRACTICAL WORKSelf-assess against the fi
 ve-level scale\, evidence in hand Run one of your own processes through th
 e automate-and-scale matrix\, and cost itBuild your sequence: three steps\
 , in orderDELIVERABLESYour maturity level\, with the gaps namedYour outcom
 e on the [...]
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