Without human oversight, AI tools have the potential to generate risks.
April 11, 2025
Over half (55%) of organizations plan to adopt Generative AI for security this year, especially in manufacturing. While AI enhances efficiency and cost savings, its rapid adoption poses new security risks and regulatory challenges. Manufacturers must proactively manage these risks to maintain operational stability.
As a coffee enthusiast, I often rely on the energizing effects of caffeine to fuel my productivity, pushing through fatigue to get more done. Yet, I’ve learned that sacrificing sleep ultimately hinders my efficiency, and taking time to rest significantly boosts my performance.
Years ago, I wrote a column discussing two baseball movies, Moneyball and Trouble With the Curve, which represented opposing views on the use of analytics in talent scouting within the sport.
Supply chain vulnerabilities threaten businesses across industries, highlighted by recent disruptions like the bird flu. Companies must adopt an integrated approach—encompassing third-party monitoring and ethical AI practices—to enhance resilience and mitigate risks amid evolving regulations.
By leveraging AI tools, manufacturers can achieve the critical balance between efficiency and the aerospace industry’s strict regulatory and safety standards.
The aerospace industry faces a challenging task in balancing cost reduction with stringent quality standards. The rise of artificial intelligence (AI) offers transformative solutions in manufacturing and metrology, enabling manufacturers to optimize production processes while ensuring compliance with safety regulations and maintaining high-quality outputs.
As the new year begins, AI, 3D scanning, and 3D printing are transforming manufacturing by enhancing efficiencies. As teams kick off Q1 projects, it's essential to consider how these trends will influence growth and open new market opportunities.
A recent MIT Technology Review survey revealed that 64% of manufacturers are exploring AI to enhance product quality. With rising consumer demands and regulatory challenges, improving efficiency in quality control is crucial. Traditional inspection methods struggle with human error and scalability, limiting effective defect detection.
The power of this approach is achieved when it becomes our natural response in any situation, whether we are innovating, collaborating, solving a problem, addressing a challenge, or giving or getting feedback.
Building HI, or Human Intelligence, through People-Centric Leadership empowers us to engage more effectively in innovation, collaboration, and problem-solving. When this approach becomes instinctive, it enhances our ability to tackle challenges and share feedback meaningfully.
The integration of artificial intelligence (AI) into conformity assessments has gained attention as technology advances. This article outlines the advantages and drawbacks of AI in conformity assessments, reviews case studies, and underscores the necessity of human interaction in the process.
Explore how AI is revolutionizing nondestructive testing (NDT), enhancing inspection accuracy and efficiency in critical industries like aerospace and energy.
On Demand Drawing from 30 years of experience using neural networks in various machine vision applications, Ned will share anecdotes and examples to help you predict which kinds of applications are going to be AI wins and which ones are going to give you fits.
Discover how SPC's real-time data collection, monitoring and control capabilities provide the perfect foundation for AI/ML's predictive insights, enabling both immediate process optimization and long-term continuous improvement.