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The Algorithmic Leader
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- Work backward from the future. Only your human element can imagine what life might be like in ten years. Focus on experiences, not devices, as Steve Jobs did back in 2007 when he introduced the iPhone as a new experience, not a phone, then used technology to make it happen. He anticipated his future customers and what they might want.
- Aim for 10x gains, not 10 percent. Your job is thinking big enough about your future opportunities, and letting the data and machine learning do the incremental work. The challenge of being an algorithmic leader is to be brave enough to pursue opportunities that deliver results in multiples, not just margins, and continuous change to stay ahead.
- Leverage data and compute power for rapid growth. This requires computational thinking to formulate challenges and solutions in a form that can be effectively carried out by information processing systems, rather than leader intuition. If artificial intelligence can expedite gaming wins, think what it might do in healthcare and other complex arenas.
- Embrace uncertainty as the opportunity. In the analog era, uncertainty increased the risk and the cost of all change, and taking more time reduced the risk. Now you have the challenge of keeping ahead of competitors and trends, with more data, a probabilistic mindset, and rapid machine learning to give you the edge, if you use all of these wisely.
- Foster a culture of algorithmic teams. Rather than controlling people through process, reinforce the principles of the new era, and provide the autonomous environment that people need to leverage data and machine learning. Look for ways to collect data on how to work, and design ways for all to continually check for results and new approaches.
- Automate work and elevate people jobs. Make automation not only an opportunity to elevate your teams, but also an invitation to profoundly reimagine what people do. What things can you and they do that simply couldn’t be done without the new smarter algorithms? Find the new jobs inside the old ones, and invest in the skills required.
- Humanize, don’t standardize, the customer experience. The most successful organizations in the algorithmic age will embrace the complexity of human behavior and translate it into individualized, immersive experiences. Include human judgment to avoid errors, bias, or inhuman choices. Human relationships are still top priority for customers.
- Connect teams to a purpose, not just profit. People at work need a sense of identity and purpose, as well as material things. Don’t let algorithms manage more and more of your interactions with your teams. You as a leader must still be the role model for changing the way you work, and finding a personal connection to a purpose for work.