Quality, Digitalization and AI TT | International Academy for Quality (IAQ)

Quality in Digitalization and AI Think Tank

Purpose:

In the disruptive era of digitalisation and AI, this IAQ Think Tank seeks to develop clear understanding of the methodologies, applications and implications of digital technologies on the methods, tools, and practices of quality as well as its implications for specialists who engage in this profession and are developing their personal competencies for future application. In addition, it aims to address and integrate ethics, data protection and human aspects, as necessary elements in the rapidly changing role of quality management in the emerging future.

Projects and Activities

State of the Art and
Challenges

The purpose of this prokject is to eplore the state of the art and challenges in Quality 4.0. By reviewing research, it examines key topics, the evolution of technological, organizational, and societal perspectives, emerging trends, and identifies gaps that call for further investigation.

Problem Solving Frameworks, Methods and Tools

The project aims to redefine classical quality management through digitalization, AI, and Big Data, develop a Digital Quality Management Framework with real-time and autonomous improvement, and promote a paradigm for transparent and collaborative governance.

Data and Information
Quality

This project focuses on advancing knowledge of how data and information quality can be measured, improved, and secured, while also strengthening awareness and understanding among executive leaders of the critical importance of data quality.

Quality in IT Companies and Devisions

This project investigates how software companies balance speed and quality, and identify challenges and bottelnecks. The goal is to clarify what quality means and is handled in this industry, how it is achieved, and to share findings through academic publications and presentations.

QDAITT Members

Chair:

J Ravikant

Co-Chairs:

Nicole Radziwill

N Ramanathan

IAQ Members:

Ahmad Elshennawy

Benson Tendler

David Hutchins

Elizabeth Keim

Fugee Tsung

Gregory Watson

Hiroshi Osada

J. Ravikant

James Duarte

Jiju Antony

Jorge Román

Joseph DeFeo

Kai Yang

Lars Sörqvist

Markku T. Nieminen

Matthew A. Barsalou

N. (Ram) Ramanathan

Nicole Radziwill

Paulo Sampaio

Pedro Saraiva

Sunil Sinha

Wan Shin

Zhen He

Blanton Godfrey

Roger Hoerl

Ronald Snee

Elizabeth (Beth) A Cudney

External Members:

André Carvalho

Emil Sörqvist

Kiran Deshmukh

Marco Reis

Mike Turner

Pedro Alexandre Marques

Zubair Anwar

Vipin Sahni

David Dreven

Ola R Ringstrom

Mats Thuresson

Jacob Hallencreutz

Tom Redman

Dennis Lin

Xu Tao

Think Tank Goals and Deliverables

The Quality in Digitalization and AI Think Tank will generate contributions that both expand the global quality body of knowledge and provide practical guidance for organizations. Its deliverables include publishing position papers that articulate key challenges and opportunities at the intersection of quality, digitalization, and AI. The goal is also to produce peer-reviewed research papers that advance academic understanding and professional practice, and to develop integrated methodologies that combine established quality principles with emerging digital technologies. In addition, the Think Tank will document and share application-based case studies, highlighting best-in-class approaches and lessons learned from practice across industries.

Current Goals:

Publish position papers
Publish research papers
Establish integrated methodologies
Publish application-based case studies and best-in-class approaches