Developing a Digital Mindset to Stay Competitive in the Modern Age with Tsedal Neeley
Every year, it seems a new technology comes out you must master to stay on top of trends: AI, blockchain, data analytics, robotics, machine learning—the list goes on. But what is important to realize is that you don’t need to be an expert in all these fields to keep your knowledge relevant.
Tsedal Neeley is the Naylor Fitzhugh Professor of Business Administration at the Harvard Business School and an award-winning scholar, teacher, and expert on virtual and global work. She regularly advises top leaders who are embarking on virtual work and large-scale change that involves global expansion, digital transformation, and becoming more agile. She is the author of Remote Work Revolution and the award-winning book The Language of Global Success.
Named to the Thinkers50 On the Radar list for making lasting contributions to management, Tsedal’s work has also been published in top journals and featured on the BBC, CNN, NPR, MarketWatch and in Forbes, the Financial Times, the New York Times, Nikkei, the Wall Street Journal, the Economist, and in many other outlets. She received her doctorate from Stanford University in management science and engineering, specializing in work, technology, and organizations.
In this roundtable, she will break down how to develop a digital mindset, covering:
- Why you don’t need to know several coding languages or become a data scientist in order to succeed in this technology-driven world
- The 30 percent rule: the idea that you only need some fluency in a handful of technical topics in order to develop a digital mindset
- The three approaches necessary for people thrive in the digital age:
- Collaboration: Learning to view AI and machine learning as teammates, while also learning to collaborate more efficiently with the people on your team
- Computation: Learning 30 percent of how various technologies collect, categorize, and store data, to develop enough statistical analysis skills so you’re capable of making better decisions through data
- Change: Learning to see change as not a fixed, period set of activities, but continual transformation, which includes learning the 30 percent conceptual vocabulary on blockchain, and how this technology can reshape security, and build the right structure and culture for experimentation to wade through transformation
