Schneider Electric survey: Skills shortage, cybersecurity risks block CPG manufacturers from scaling AI
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A survey cited in a post by Schneider Electric identifies three barriers preventing consumer packaged goods (CPG) manufacturers from scaling artificial intelligence. Nearly half of respondents point to a shortage of workforce skills, specifically a scarcity of people who combine manufacturing knowledge with data science expertise. Additionally, cybersecurity risks emerge when previously isolated plant systems are connected to enterprise networks. The post attributes these findings to a survey but does not name the survey or provide further details on the third barrier.
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Here is the rewritten news content in clean, professional English Markdown.
Three Barriers Blocking CPG Manufacturers from Scaling AI
Consumer Packaged Goods (CPG) manufacturers face significant hurdles in scaling artificial intelligence, according to recent survey data. Three primary barriers have been identified:
- Workforce Skills Gap: Nearly half of survey respondents cite a lack of skilled personnel. Specifically, professionals who combine manufacturing knowledge with data science expertise are scarce.
- Cybersecurity Risks: Connecting previously isolated plant systems to enterprise networks introduces new cybersecurity vulnerabilities.
- Integration Challenges: (Implied by the context of connecting systems and data science needs, though the original text focuses on the first two points explicitly).
Source: #schneiderelectric_ai
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fogorosNeutral / independent