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majority shareholder, Asystom has been evolving within a well-established industrial ecosystem where collaboration is already fully operational.\u003C\u002Fp>\n\u003Cp>This phase does not represent a starting point, but rather the continuation of a partnership reaching maturity : with a clear focus on delivering tangible and measurable value to industrial players through predictive maintenance, industrial IoT, and AI-driven anomaly detection.\u003C\u002Fp>\n\u003Ch2>Leading Industrial Players, Shared Challenges\u003C\u002Fh2>\n\u003Cp>During a recent gathering at WIKA&rsquo;s headquarters in Klingenberg, Asystom engaged in high-level discussions with major industrial companies, including Handtmann, Imerys, Boehringer Ingelheim, ArianeGroup and Archer Well.\u003C\u002Fp>\n\u003Cp>Despite operating in different sectors, these companies face similar challenges: improving equipment reliability, reducing unplanned downtime, and gaining better visibility into machine behavior.\u003C\u002Fp>\n\u003Cp>These exchanges created a space for sharing experiences, aligning perspectives, and identifying practical approaches to address real operational needs.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fcms.asystom.com\u002Fassets\u002Fdd78cfc0-dc1d-4c1d-b26e-06b03e67fd16.jpeg?width=2000&amp;height=1500\" alt=\"Tony Ciminelli et Kelly Tebon\">\u003C\u002Fp>\n\u003Ch2>Industrial IoT: From Data Collection to Decision-Making\u003C\u002Fh2>\n\u003Cp>A key focus of the discussions was how industrial environments are leveraging data today.\u003C\u002Fp>\n\u003Cp>While IoT infrastructures already enable large-scale data collection, the real challenge lies in turning that data into meaningful action.\u003C\u002Fp>\n\u003Cp>The conversations highlighted a fundamental shift, from reactive maintenance to data-driven decision-making, where information becomes a driver of performance, anticipation, and operational efficiency.\u003C\u002Fp>\n\u003Ch2>WIKA x Asystom: A Complementary Approach\u003C\u002Fh2>\n\u003Cp>These exchanges clearly demonstrated the complementarity between WIKA and Asystom.\u003C\u002Fp>\n\u003Cp>WIKA brings strong expertise in industrial instrumentation, sensors, and large-scale deployment. Asystom adds an advanced layer of artificial intelligence capable of interpreting data and detecting anomalies based on each machine&rsquo;s unique behavior.\u003C\u002Fp>\n\u003Cp>Together, they go beyond traditional monitoring, enabling a deeper understanding of equipment and allowing industrial teams to act earlier and more effectively.\u003C\u002Fp>\n\u003Ch2>Toward More Predictive Industrial Models\u003C\u002Fh2>\n\u003Cp>Beyond the technical discussions, this gathering reflects a broader transformation within the industry: the shift toward more predictive, connected, and intelligent models.\u003C\u002Fp>\n\u003Cp>By combining sensors, data, and artificial intelligence, industrial players can better anticipate issues, make informed decisions, and sustainably improve performance.\u003C\u002Fp>\n\u003Cp>In this context, Asystom, in collaboration with WIKA, plays a key role in delivering solutions that are fully aligned with real-world industrial needs.\u003C\u002Fp>\n\u003Ch2>Conclusion\u003C\u002Fh2>\n\u003Cp>This meeting with leading industrial players highlights the tangible value of the Asystom x WIKA partnership.\u003C\u002Fp>\n\u003Cp>More than a strategic collaboration, it represents a practical approach to industrial innovation, where technologies are directly confronted with real use cases and operational expectations.\u003C\u002Fp>\n\u003Cp>An approach that contributes to shaping new standards in predictive maintenance and industrial performance.\u003C\u002Fp>",{"code":158},1783962095987]