| | | | | | | | Manufacturers and other companies are pouring record investments into new AI technology, but factors such as poor governance and fragmented data remain significant stumbles. |
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| | | | | | Siemens research highlights the stages of digitalization maturity, emphasizing the importance of integration, digital threads, and the development of the Industrial Metaverse. |
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| | 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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| | | | Sponsored | | From SmartIndustry.com Register by February 26 to access Early Bird pricing for eChem Expo 2026. Digital and automation leaders can explore technologies that enhance decision making, strengthen process reliability, and support more advanced, connected plant operations. |
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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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| | The 2026 ITAs seek to recognize companies for operational excellence in manufacturing, transportation, and utilities. |
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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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| | | | Sponsored | | Manufacturing teams juggle 5+ systems to answer one warranty question—frustrating customers and losing deals. New research from 200+ leaders reveals why unified CRM is mission-critical for service revenue growth. |
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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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| 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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