| | | | | | | | Two cybersecurity companies independently report the record and find most ransomware incursions occurred in the final quarter of the year. |
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| | | | | | Almost three quarters of respondents—79%—to the CADDi survey reported the skilled workforce gap is impacting their companies directly. |
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| | As the manufacturing workforce ages, it’s a widely held belief that critical knowledge, particularly in the area of safety, will be lost, but one expert, backed by his company’s recent research, is emphasizing the importance of meeting those challenges with strategic technology implementations. |
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| | Aras CEO Leon Lauritsen shares his perspective on why manufacturers struggle with AI adoption, how PLM must move beyond systems of record, and what leadership looks like in an AI-driven industrial environment. |
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| | | | Sponsored | | From SmartIndustry.com From advanced analytics to connected automation, eChem Expo 2026 offers insights that help plant teams modernize processes and improve performance. Discover solutions designed to support a more efficient, data-driven, and resilient operation. |
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| | | | | | The 2026 ITAs seek to recognize companies for operational excellence in manufacturing, transportation, and utilities. |
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| | Our annual series of predictions for the new year calls for industrials to use artificial intelligence in savvy ways but be more aware of cybersecurity threats, open to automation, enthusiastic about large-scale tech investments, and prepared to streamline data. |
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| | Challenges in 2025 with a transitioning and underskilled workforce, funding, and enough commitment from company leadership remain significant roadblocks to digital transformation, annual Smart Industry audience poll reveals. |
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| | | | | Smart Industry content chief Scott Achelpohl wraps up the annual prediction series with highlights from our roster of subject-matter experts, who had a lot to say about how AI was moving well beyond the hype and coming to a production line near you. |
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| Manufacturers are discovering that unbounded AI can imagine anything, but only disciplined artificial intelligence can be trusted in their critical factory operations. Industrial AI knows the language of processes—bridging the gap between data, understanding, and performance. |
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