Meet our 2025 Quality Rookie of the Year, Attrayee Chakraborty. She is a quality professional in the medical field with a background in biotechnology and expertise in Artificial Intelligence (AI).
As manufacturers increasingly use robots, 3-D printing, AI systems and other cutting-edge technologies, they create new risks that are not covered by existing rules. As a result, even the most foundational rulebooks are changing.
Engineers rely on industry standards for safety, which require extensive development time. However, the rapid pace of emerging technologies poses challenges for timely standardization, as reaching consensus on new standards becomes difficult in a fast-changing environment, according to Shawn Moylan from NIST.
Quality is honored to name Attrayee Chakraborty as our 2025 Quality Rookie of the Year. Discover how she earned the award through her groundbreaking work in medical device quality and AI integration.
The life sciences sector is at a crossroads as the FDA updates quality management standards. AI is now expected, and the FDA's January 2025 draft guidance outlines its evaluation and implementation. Successful adoption depends on three key questions.
The job market is struggling with fake job postings that mislead American job seekers and distort employment data. These listings, created to collect résumés or inflate company statistics, erode trust in online job platforms and create inefficiencies in the hiring process, worsening challenges for job seekers and the unemployed.
By 2025, automation technologies such as AI-driven inspection systems and autonomous robots are essential for manufacturers, enhancing productivity and quality assurance through precision and intelligent decision-making.
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.
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.
On Demand 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.