Mary-Anne Williams
School of Management & Governance
I am the Michael J Crouch Chair for Innovation at UNSW where I collaborate to grow entrepreneurship and accelerate innovative thinking in Australia. Micheal Crouch was an inspiring Australian entrepreneur and business leader. He was a visionary and extraordinarily generous benefactor. In 2017 Michael Crouch was appointed Companion of the Order of Australia (AC) for eminent service to the community through philanthropic contributions to youth, cultural, medical research and health care organisations, to business in the areas of manufacturing and international trade, and as a supporter of innovation and higher education.
Prior to taking up this exciting role I spent 18 years as founder and director of the Innovation and Enterprise Research Lab (The Magic Lab), Australian Artificial Intelligence Institute at UTS. The Magic Lab was a pioneer with unique transdisciplinary capabilities in key areas of innovation and enterprise. It specialised in technology-enabled innovation and build solutions using AI, Design Thinking, Experimentation, and Analytics. Our industry and government partners included South Western Sydney Local Health District, IBM, Google, Disrupt, Linkedin, bigtincan, Willow Garage (now Savioke), Amazon, Visual Risk, CBA, Denmark's National Bank, Samsung, Sony, and Softbank.
From This Author
Business AI: the game-changer in predicting and enhancing employee retention
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Steer it – don’t fear it: navigating AI with confidence
When it comes to designing and implementing AI, business leaders have to navigate an incredibly complex landscape – but there are steps they can take to make the journey less risky
How leaders should weigh up the risks and rewards of AI
What do leaders need to consider to be able to take advantage of AI, while also overcoming its complex challenges?
Faethm's Mike Priddis: how COVID changed the future of work
Faethm's Michael Priddis says there have been significant changes in the world of work with a dramatic acceleration in automation and related technologies
How machine learning is improving job transitions through skills matchmaking
Researchers have developed a machine learning-based system that acts as a skills matchmaker to assist with the process of effective job transitions