Learn how to prepare for artificial intelligence disruption by thinking entrepreneurially and filling in the gaps in the story AI leaves behind.
- Do you see opportunities and problems that need solving everywhere? If so, you probably have an entrepreneurial mind. All there's left is for you to hone it. The potential impact AI will have on project management and business in general is enormous. Even large companies like Amazon and Netflix are using AI to become as nimble as the most agile startups. AI is the secret sauce here and entrepreneurial thinking is the secret sauce inside of that sauce. Let me explain.
However, as powerful as AI is, it still has its shortcomings. While machines are good at collecting and analyzing data, AI is only as good as the data it's fed. If there are gaps in the data, AI will miss them. For this reason and many more, organizations look to entrepreneurial minded individuals to fill in the gaps that data leaves behind. It takes human input to tell the story that isn't always apparent in the data. And don't forget, someone also needs to set the criteria that AI initially uses as well as update its algorithms with the latest protocols.
A lot of human involvement is needed for AI to realize its full potential. This is why I say, entrepreneurial thinking is the secret in the AI secret sauce. Now you don't have to be an entrepreneur to think like one. All you need is a creative spirit, the ability to see opportunities others overlook, the desire to take ownership of opportunities when they present themselves, and the flexibility to adapt to changing environments.
It doesn't stop there though. You'll also want to think of the business implications of your projects and how they fit into the overall organization. If possible, take an ownership stake in them, don't simply deliver to project expectations, treat your projects like an owner treats the business. Finding ways to enhance what's working and discard what's not is a good way to start. The ability to quickly iterate and extract the uniqueness from each project to maximize its value is a prime example of using entrepreneurial thinking.
AI learns as it goes, it digests lessons learned from previous projects and data from current projects and passes those insights along to you. Once you combine your entrepreneurial thinking with these insights, you'll be able to connect the dots so you can maximize the value of your projects. That's what I call a triple win, a win for your customer, a win for your organization, and of course, a win for you.
- The impact of AI on project management
- Major changes driving AI adoption
- Evolving work trends
- How the demand for predictability is driving AI
- Preparing for disruption by anticipating change
- Leveraging human creativity
- Initiating, planning, executing, and closing projects with AI