01.09.2020 Work­shop: Machi­ne Lear­ning for Real-World Applications

Mike Brandt and Jonas Wen­ke from 33A and Dr. Jor­ge Davi­la-Cha­con and Olaf Erich­sen from Hel­den­kom­bi­nat Tech­no­lo­gies GmbH.

Fre­quent­ly, com­pa­nies are pre­sen­ted with fla­shing Machi­ne Lear­ning (ML) demos that only seem to be rea­dy for pro­duc­tion but mis­cal­cu­la­te the requi­re­ments to have an ML sys­tem with a long and pro­spe­rous life. The aim of an ML pro­to­ty­pe is to pro­ve that an algo­rithm can do a bet­ter (che­a­per or fas­ter) job than alter­na­ti­ve solu­ti­ons. Howe­ver, moving ML pro­to­ty­pes into pro­duc­tion rea­di­ness needs dif­fe­rent skill sets, archi­tec­tures, and data inte­gra­ti­on stra­te­gies sin­ce, in real-world app­li­ca­ti­ons, sca­la­bi­li­ty, per­for­mance, and ope­ra­tio­nal cost-effi­ci­en­cy are key busi­ness-value dri­vers that will not come by pro­to­ty­pe design.

The goal of our work­shops is to show the dif­fe­ren­ces bet­ween ML pro­to­ty­pes and ML real-world app­li­ca­ti­ons on a case-by-case basis.

In order to have a bet­ter groun­ding, Mike and Jonas from the AI design firm 33A will start with their design can­vas to show how they sup­port com­pa­nies in their trans­for­ma­ti­on towards AI.

Hel­den­kom­bi­nat Tech­no­lo­gies’ AI experts will fol­low up in the second half of this work­shop and dive deeper into the ide­as gene­ra­ted by the par­ti­ci­pants by eva­lua­ting their tech­ni­cal fea­si­bi­li­ty and orga­niz­a­tio­nal requirements.

Plea­se send an e‑mail to if you want to join the workshop.

The work­shop is free of char­ge and will take place on
01.09.2020 from 16:00 – 19:00 online. After regis­tra­ti­on, we will send you an email with a link to join the workshop.

The work­shop will be held in Eng­lish.

ARIC e.V. 
Van-der-Smis­sen-Stras­se 9, 22767 Hamburg.

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