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BEGIN:VEVENT
UID:20260902T172030Z - 18461@eu441a.odoo.com
DTSTART;TZID=Europe/Brussels:20261201T090000
DTEND;TZID=Europe/Brussels:20261201T120000
CREATED:20260902T172030Z
DESCRIPTION:<a href="https://www.sustain.brussels/event/masterclass-timeser
 ies-forecasting-with-genai-249/register">Masterclass Timeseries Forecastin
 g with GenAI </a>\nBuild your own forecaster with GenAI at minimal cost an
 d with minimal expertise required Forecasting sits at the heart of proacti
 ve decision making\, but for many organizations\, it has long felt out of 
 reach. Traditional methods often require deep technical expertise\, expens
 ive tools\, and complex infrastructure. Meanwhile\, companies generate end
 less streams of sensor\, production\, and operational data that remain lar
 gely untapped\, simply because turning numbers into insight is hard. In th
 is three hour master class\, we change that. You will discover how anyone\
 , from maintenance managers to data owners\, can transform raw time series
  data into dependable forecasts using modern generative AI\, or GenAI. By 
 harnessing free foundation models and today’s coding assistants\, we dra
 matically lower the barrier to entry. You will learn how to build a high q
 uality forecasting solution in a single afternoon\, without writing code a
 nd without paying for costly licenses. Our mission is simple\, to put the 
 power of forecasting into the hands of industry practitioners like you\, s
 o you can make smarter decisions\, reduce uncertainty\, and move innovatio
 n forward with confidence. What you will learn in this intensive half day 
 sessionUnderstand how time series forecasting works in practice\, includin
 g the metrics that matter most for evaluating forecast quality Decide when
  classical machine learning approaches are sufficient and when generative 
 AI offers a real advantage Explain why modern foundation models such as Ch
 ronos-2\, TimesFM and PatchTST perform so well on forecasting tasks Use co
 ding assistants like Claude Code and Codex to work faster and more effecti
 vely\, while understanding their limitations and safety considerations Get
  started immediately with a concrete\, step-by-step recipe provided by Sir
 risInstructors Mihail Mihaylov is a GenAI expert and entrepreneur with 18 
 years of [...]
DTSTAMP:20260902T172030Z
LOCATION:VBO-FEB\, Ravensteinstraat 4\, Brussels  1000
SUMMARY:Masterclass Timeseries Forecasting with GenAI 
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.sustain.brussels/event/ma
 sterclass-timeseries-forecasting-with-genai-249/register">Masterclass Time
 series Forecasting with GenAI </a>\nBuild your own forecaster with GenAI a
 t minimal cost and with minimal expertise required Forecasting sits at the
  heart of proactive decision making\, but for many organizations\, it has 
 long felt out of reach. Traditional methods often require deep technical e
 xpertise\, expensive tools\, and complex infrastructure. Meanwhile\, compa
 nies generate endless streams of sensor\, production\, and operational dat
 a that remain largely untapped\, simply because turning numbers into insig
 ht is hard. In this three hour master class\, we change that. You will dis
 cover how anyone\, from maintenance managers to data owners\, can transfor
 m raw time series data into dependable forecasts using modern generative A
 I\, or GenAI. By harnessing free foundation models and today’s coding as
 sistants\, we dramatically lower the barrier to entry. You will learn how 
 to build a high quality forecasting solution in a single afternoon\, witho
 ut writing code and without paying for costly licenses. Our mission is sim
 ple\, to put the power of forecasting into the hands of industry practitio
 ners like you\, so you can make smarter decisions\, reduce uncertainty\, a
 nd move innovation forward with confidence. What you will learn in this in
 tensive half day sessionUnderstand how time series forecasting works in pr
 actice\, including the metrics that matter most for evaluating forecast qu
 ality Decide when classical machine learning approaches are sufficient and
  when generative AI offers a real advantage Explain why modern foundation 
 models such as Chronos-2\, TimesFM and PatchTST perform so well on forecas
 ting tasks Use coding assistants like Claude Code and Codex to work faster
  and more effectively\, while understanding their limitations and safety c
 onsiderations Get started immediately with a concrete\, step-by-step recip
 e provided by SirrisInstructors Mihail Mihaylov is a GenAI expert and entr
 epreneur with 18 years of [...]
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