Skip To Main Content
John Mullins on Muck Rack

John Mullins

As seen in: Forbes, The Wall Street Journal, Entrepreneur, Fast Company, City AM, Manager Magazin, London Business School, Raconteur, The Free Lance-Star, BookBub and

Get in touch with John

Contact John, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Articles

Innovation Meets Context: Entrepreneurial Insights for the MENA Region

|
By John Mullins
| Entrepreneur Verified
In a TEDx talk I gave a while back, 6 Tips on Being a Successful Entrepreneur, I explored six tips on being a successful entrepreneur, illustrated through stories of innovators like Linda Weinman, Arnold Correa, John Thorne, and Elon Musk. The central theme was counter-conventional thinking: a mindset that defies standard business school doctrine and conventional corporate wisdom.
Open in Who Shared Issue with article?

Business trends in 2025

|
By Gary Dushnitsky, Nicos Savva, John Mullins, Ioannis Ioannou
| Leader.co.za Verified
2024 was a tumultuous year for business. Gazing deep into their crystal balls, LBS experts predict what 2025 may have in store for us all. Getting the BALL rolling: [B]lockchain meets [A]I and [L]arge [L]anguage Models Gary Dushnitsky, Associate Professor of Strategy and Entrepreneurship Could 2025 see the integration of blockchain and AI solutions? Large language models (LLMs) and other forms of Artificial Intelligence (AI) captured the imagination of the world over the past couple of years.
Open in Who Shared View Duplicates (2) Issue with article?

Business trends in 2025

|
By Gary Dushnitsky, Nicos Savva, John Mullins, Ioannis Ioannou
| London Business School
The second point has to do with transparency. Blockchain draws on a decentralised ledger that records transactions transparently and immutably, allowing all participants to verify and trace data changes. In contrast, AI systems process vast amounts of data to learn and make predictions, often operating as ‘black boxes’ where decision-making processes are not easily interpretable. This is exacerbated by the probabilistic nature of the ‘output’.
Open in Who Shared Issue with article?
See all 36 licensed articles (38 Total)