Cognitive quality is the new age quality management paradigm with the digital transformation tools available today like artificial intelligence, machine learning and data science. It migrates everything to the Cognitive Cloud Enterprise Quality Management System (CCEQMS) through Connected Intelligent Automation (CIA). The business processes for quality across the value chain is managed through this and can be viewed as a quality management platform. This platform operates as an integrated IT architecture and data model that enables communication across functions.

Context: Cognitive quality solutions not only transform the end to end of business process and quality operations but also reduces staffing costs of quality function and revenue upliftment by way of increased demand from customers as a result of enhanced customer satisfaction and time to reach the market.

Cognitive quality was primarily upgraded to fill the void of digital transformation journey of quality. There have been few forerunners from manufacturing, pharma, semiconductors industry while the others have been mostly watching on the progress and outcome achieved. With the unprecedented pandemic ruling the physical world, managing quality in business through remote location, enabled by disruptive technologies like artificial intelligence, machine learning and decision sciences is becoming imperative. Hence the pandemic crisis accelerated the possibilities of adopting cognitive quality paradigm.

Coverage: Cognitive quality is helping organizations across diverse industry verticals not only to set up smart enterprise quality practices in this COVID-19 era, but also to run touchless and audit less quality assurance. Smart devices to monitor quality checks manufacturing and retail. Machine learning concepts are used to set up a predictive and preventive quality model in technology organisations. Slowly and gradually organisations are getting away with the need of a separate quality function by way of making built-in quality processes as a cognitive quality paradigm. This approach is not only helping to achieve the targets, but also reduces the lead time to reach the customer. Organisations are also gaining on the reduced operational expenditure of quality function and still retaining the customer satisfaction scores.

Cognitive quality is assisting organizations to seamlessly manage quality support from a remote work location/home through accelerating digital transformation with cloud-based quality management software:     

  • Reduced physical/virtual QA workforce and more of self-checked based auto-running processes
  • Real-time access to centralized data for fast analysis and responses
  • Dashboard-based analysis tools that leverage traditional statistical process control (SPC) methodology while enabling dynamic, graphical views of information and signalling through lean methodologies like Kanban and Jidoka
  • Flexible reporting capabilities that enable operations & quality professionals to produce reports and respond to audits on demand for a variety of stakeholders.