AI Articles and Literature

“Today, a new frontier of scientific discovery lies before us,
defined by transformative technologies such as artificial
intelligence… Breakthroughs in these fields have the potential
to reshape the global balance of power, spark entirely new
industries, and revolutionize the way we live and work. As our
global competitors race to exploit these technologies, it is a
national security imperative for the United States to achieve
and maintain unquestioned and unchallenged global
technological dominance. To secure our future, we must
harness the full power of American innovation.”
Donald J. Trump
45th and 47th President of the United States

Some would say that ChatGPT unleashed the iPhone moment for digital transformation. Arguably, it is generative AI that will unleash the transformation of industry. But while generative AI may be a bullet train that has left the station, to harness it properly, it must be safe, secure and hallucination-free. The business value of generative AI is only in its application to the real-world needs of field engineers and others operating in asset-heavy industries. When used correctly, generative AI can enable better collaboration, task automation, field productivity, maintenance planning and robotic automation, but the technology is only as strong as its data foundation.

Artificial intelligence (AI) and advanced analytics can be used to make workers better and more productive in their jobs. Manufacturers are dealing with a skills gap, which is exacerbated by a training gap. Getting new workers up to speed quickly is a difficult process. AI can gather information about the training processes and tailor that information to help specific workers for their jobs.

The impact of artificial intelligence (AI) is being felt in nearly every industry, and front-line industrial workers are benefiting from its capabilities. In particular, front-line manufacturing floor workers are leveraging AI-based tools designed to help digitize and optimize training — based on data-driven insights — to suit individual employees’ needs. What once seemed like a futuristic concept has now become a tangible reality for the manufacturing sector.

It is widely held that artificial intelligence (AI) will help drive productivity in the near future. But how?When you meet with manufacturing, learning and development and human resources (HR) leaders, this question is especially relevant given their massive front-line workforce. Skilling their existing workforce is now more critical than ever.

The quest to shape our understanding of AI is occurring at the same time that we’re experimenting with its potential applications, from designing through integration of products and processes. Oftentimes, that means not only inventing but also right-sizing an AI playbook for bringing people, process and technology together.

Factory workers should have a basic understanding of AI concepts and how AI is applied in manufacturing. This includes knowing the capabilities and limitations of AI systems they interact with daily. Workers don't need to be AI experts, but they should be comfortable with AI as a tool that enhances their work.

The ARM (Advanced Robotics for Manufacturing) Institute today publicly released its Future of Work study today. The study, previously issued to ARM Institute, details how advanced technologies, chiefly robotics, automation, and AI, are changing the nature of manufacturing careers and the actions needed to prepare the U.S. manufacturing workforce for these changes.

The White House has officially fired the starting gun on America's AI race, releasing a national AI Action Plan that serves as a high-level policy framework for driving innovation. But while the federal government charts the course, a chasm is widening between policy ambition and on-the-ground execution. The real front line in America’s AI race is the fractured industry-academia partnership, where a failure to turn abundant data into actionable insight stalls progress before it starts.

In the rapidly evolving landscape of manufacturing, the importance of a skilled workforce cannot be overstated. However, as technological advancements such as artificial intelligence (AI) reshape the industry, the demand for specialized skills is outpacing the available talent pool. To address this challenge, manufacturing companies are starting to turn to AI as a means of bridging the industrial skills gap and empowering their workforce for the future.

Manufacturers across the U.S. are leaning into artificial intelligence as a pivotal aspect of business growth. It’s not surprising then that 87% of those surveyed in a Deloitte report on AI in manufacturing have adopted the technology or plan to do so in the next two years.

Advancements in artificial intelligence (AI) are revolutionizing industries across the globe, raising important considerations about the effects on the human workforce. While AI offers incredible opportunities for task automation and improved efficiency, it also sparks concerns regarding job displacement and the need for reskilling. Understanding the implications of AI in the workplace is crucial as we navigate these transformative times and create an AI-ready Workforce. The manufacturing sector, in particular, is poised for significant changes due to AI integration. Once-arduous manual labor tasks that were exclusively handled by humans can now be efficiently executed by robots and automated systems. This shift towards automation trigger job displacement for workers engaged in repetitive duties like assembly line work and material handling. In fact, studies indicate that a staggering percentage of current job tasks could be automated through AI between 2030 and 2060. However, it is important to note that AI will not eliminate the need for human workers altogether. Rather, it mandates a shift in the workforce’s skillsets.

Integrating AI systems is no longer a luxury but an absolute necessity for staying competitive in the manufacturing industry. Factories are slowly embracing AI to streamline processes, enhance productivity, and drive innovation, so the workforce’s role in this transition has become another consideration for executives and manufacturing leaders.

Manufacturers across the U.S. are leaning into artificial intelligence as a pivotal aspect of business growth. It’s not surprising then that 87% of those surveyed in a Deloitte report on AI in manufacturing have adopted the technology or plan to do so in the next two years.
However, a key challenge to implementing AI is training a workforce to leverage the technology, especially factory-level employees.

Global manufacturers share their priorities, concerns, and the next steps around how AI-powered smart manufacturing will create new opportunities— and new risks. Find out where investment trends are headed to address internal and external factors and ultimately improve quality and create sustainable growth.