Boulder Quality Meetup

• Speaker: Sainyam (Sam) Arora, LinkedIn profile
• Topic: Quality Control into the Digital Age
• Presentation Slides and Video posted after meeting
• Abstract:

- Quality control has traditionally relied on inspections, audits, and manual data collection.
- As organizations adopt digital tools and analytics, quality professionals face the challenge of integrating these technologies into established quality control practices without losing the process discipline that ensures reliability.
- This webinar explores how modern manufacturing and engineering teams can connect traditional quality control methods with data-driven tools to improve decision-making, visibility, and operational performance.
- Attendees will gain practical insights into how quality control can evolve alongside digital transformation while maintaining strong process foundations.

• Speaker Bio: Sainyam Arora is a Quality Systems Engineer advancing the evolution of Modern manufacturing systems through AI, data-driven decision-making, process resilience, and sustainable operational design.
  - At Johnson Matthey, he is a global leader in sustainable technologies.
  - He contributes to the development and deployment of ISO 9001-aligned quality systems across catalyst and chemical manufacturing operations, strengthening process reliability, defect prevention, and cross-functional accountability in high-impact industrial environments.
  - His work integrates predictive maintenance, layered process auditing, lean methodologies, and digital transformation principles to improve uptime, traceability, and performance across Automative Emission Control, and Catalyst Technologies Beyond execution.
  - Mr. Amarora focuses on advancing the concept of Quality 5.0, where digital infrastructure, human-centered leadership, and system discipline converge to create long-term operational resilience.
  - He actively contribute to the broader quality and engineering community through research publications, conference presentations, and thought leadership on sustainable manufacturing and systems innovation.
  - His mission: Elevate quality from conformance to competitive advantage, where data integrity, operational discipline, and sustainability - drive measurable industrial progress.
• References, Support documents, website, etc.:
  - Sainyam Arora's Quality Assurance & System Engineer website

7:15 pm After Presentation Networking
7:30 pm Web Conference End: meeting over

Meeting also posted on MyASQ Boulder Community Event

• Speaker: Jiong Tupling, LinkedIn profile
• Topic: From AI Concept to Governance: A Practical Framework using DOE,
  Five-Layer Architecture, and ISO 42001
• Presentation Slides and Video posted after meeting
• Abstract:

- Many people assume AI simply turns data into decisions.
- In reality, the process is far more demanding - and far more important: only trustworthy data, combined with well-trained AI models and strong governance, can generate meaningful insights.
- Even then, critical decisions should remain guided by human judgment.
- This session gives quality professionals a clear, practical pathway from AI concept to operational governance - grounded in tools they already know.
- You will walk away with:
-- A Five-Layer AI Architecture you can apply to industrial and business environments immediately
A DOE-based validation methodology for evaluating machine learning systems with statistical confidence
-- An ISO 42001 governance framework mapped to real AI development and risk management challenges
-- Real-world manufacturing examples bridging technical validation with management systems
- Who should attend: Quality engineers, operations leaders, and technology managers navigating AI adoption in manufacturing or business environments.

• Speaker Bio:
  - Janet Tupling is a quality engineering and digital transformation professional specialising in AI application, operational excellence, and manufacturing innovation.
  - Her work bridges traditional manufacturing and emerging technologies - including AI, IoT, cloud infrastructure, and data systems - with a particular focus on defining the essential technology stacks and innovation frameworks organizations need to enable reliable, scalable, and trustworthy AI adoption.
  - ASQ senior member, CSSBB, CQE, has M.S. in computer science, BBA in Information system and International Business. BVQI certified ISO 9001 Lead auditor. The fellow of Chinese Professional Association of Canada. Partner of Ontario Food & Beverage Innovation Ecosystem.
• References:
  - None yet

7:15 pm After Presentation Networking
7:30 pm Web Conference End: meeting over

Meeting also posted on MyASQ Boulder Community Event