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Industry 4.0: Building the right skills to meet the factory of the future

SYSPRO Smarter ERP

It does present a training requirement, the need for new skills for industry 4.0 Of course, robotics does not tell the full story, as the world of manufacturing has evolved even further over the last few decades, with the rise of data and smart, autonomous systems. The growing skills gap. Ongoing training initiatives.

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Two Million Vacant Manufacturing Jobs by 2025…How Can We Tackle the Skills Gap?

GlobalTranz

Approximately 60 percent of today's unfilled manufacturing jobs are due to a shortage of applicants with sufficient proficiency in science, technology, engineering, and math ( STEM ) skills. Even more alarming is the news that 69 percent of the executives surveyed said they expect the problem to worsen over the next five years.

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Logistics Workers Embrace AI, Despite Generational Concerns

Logistics Business Magazine

Despite frequent discussions about AI’s potential impact on jobs, the majority of logistics workers are untroubled by automation, according to a recent YouGov survey commissioned by SafetyCulture. The industry is already seeing successful applications of AI, which many workers believe will help tackle labor and skills shortages.

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Small Manufacturers Play Critical Role in Securing the Supply Chain

Material Handling and Logistics

The survey was conducted by ISACA and the Digital Manufacturing and Design Innovation Institute (DMDII) in August 2018, captured responses from 167 participants from across ISACA, DMDII and Manufacturing Extension Partnership stakeholders. Finding skilled cyber-staff remains challenging; a 1.8 Three-quarters of U.S.

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Discover 4 Use Cases for Applying AI to Your Recruiting Processes

Recruitment AI technology uncovers the most qualified candidates. This technology automates recruiting routines and facilitates natural conversations, resulting in higher productivity and a better candidate experience. Download the eBook to learn more!

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Rise of the Industrial Data Scientist

Logistics Viewpoints

Enter the industrial data scientist, a new breed of data analyst with access to more industrial data than ever before and the advanced technology to translate that information into actionable intelligence. However, leveraging AI requires data science capability, which adds additional complexity to an already complex environment.

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Celanese Leads the Pack When it Comes to Agentic AI

Logistics Viewpoints

According to a survey by ARC Advisory Group, only 10% of industrial companies are ready to apply artificial intelligence/machine learning. Agentic AI involves creating a system of interacting agents, each trained on a specific task or dataset. These agents can communicate, negotiate, and collaborate to solve complex problems.

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