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DTSTAMP:20260203T112131Z
DTSTART;VALUE=DATE:20260303
DTEND;VALUE=DATE:20260306
SUMMARY:Tire Technology Expo
DESCRIPTION:Get a closer look at our complete portfolio of tire laser proc
 essing systems\, ranging from tire marking to laser uniformity correction.
 \nHall: 20 | Booth No. 5040Don't miss our expert's talk at the conference 
 about AI in tire manufacturing!\nMarch 5th\, 2026 | 10:15 – 10:40 AM | R
 oom: Five Continets | By: Dr. Jan Flohre\, Head of Laser Process Developme
 nt & Product Manager\n AI in Tire Manufacturing. Vision or Reality?\nArti
 ficial intelligence promises to revolutionize tire production with predict
 ive quality\, real-time monitoring and adaptive control. But how far have 
 we really come? This talk critically examines the gap between expectations
  and current capabilities. Using examples from laser-based processes\, suc
 h as innerliner cleaning\, sidewall marking and mold cleaning\, we explore
  where AI delivers tangible benefits and where challenges remain. Issues l
 ike data quality and availability\, on-premises training and real-time dec
 ision-making often limit practical implementation. Are we ready for fully 
 autonomous quality control\, or is AI still more hype than reality?\nConte
 nts: \nWhere AI already creates value in tire manufacturing\, illustrated
  through laser-based applications such as innerliner cleaning and sidewall
  marking.Which technical and organizational barriers limit AI adoption\, i
 ncluding data quality\, on-premises model training and real-time decision-
 making.How close the industry is to autonomous quality control\, and what 
 steps are needed to move to reliable\, scalable production solutions. 
X-ALT-DESC;FMTTYPE=text/html:<p>Get a closer look at our complete portfoli
 o of tire laser processing systems\, ranging from tire marking to laser un
 iformity correction.</p>\n<p>Hall: 20 | Booth No. 5040<br /><br /><strong>
 Don't miss our expert's talk at the conference about AI in tire manufactur
 ing!</strong></p>\n<p>March 5th\, 2026 | 10:15 – 10:40 AM | Room: Five C
 ontinets | By: Dr. Jan Flohre\, Head of Laser Process Development &amp\; P
 roduct Manager</p>\n<p class="text--large"><br />&nbsp\;<br /><strong>AI i
 n Tire Manufacturing. Vision or Reality?</strong></p>\n<p>Artificial intel
 ligence promises to revolutionize tire production with predictive quality\
 , real-time monitoring and adaptive control. But how far have we really co
 me? This talk critically examines the gap between expectations and current
  capabilities. Using examples from laser-based processes\, such as innerli
 ner cleaning\, sidewall marking and mold cleaning\, we explore where AI de
 livers tangible benefits and where challenges remain. Issues like data qua
 lity and availability\, on-premises training and real-time decision-making
  often limit practical implementation. Are we ready for fully autonomous q
 uality control\, or is AI still more hype than reality?</p>\n<p><strong>Co
 ntents:&nbsp\;</strong></p>\n<ul><li data-list-item-id="e791298f6f11f28ff6
 3b3372778a377f3">Where AI already creates value in tire manufacturing\, il
 lustrated through laser-based applications such as innerliner cleaning and
  sidewall marking.</li><li data-list-item-id="ea0464507e30a01adf36f28e7c8a
 25e70">Which technical and organizational barriers limit AI adoption\, inc
 luding data quality\, on-premises model training and real-time decision-ma
 king.</li><li data-list-item-id="e8d2fe75b8485f03ae7d6299f1e3bc0ac">How cl
 ose the industry is to autonomous quality control\, and what steps are nee
 ded to move to reliable\, scalable production solutions.<br>&nbsp\;</li></
 ul>
LOCATION:Hannover\, Deutsche Messe\, Germany
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