Scaling artificial intelligence can create a massive competitive advantage, but it’s not enough to invest in cutting-edge technologies and algorithms. You need to rewire decision making and operations to extract value—and invest in human capabilities to make it stick. At BCG, we refer to this as AI at scale—also known as AI @ scale.
The pioneers of AI @ scale—the companies that have scaled AI across the business and achieved meaningful value from their investments—typically dedicate 10% of their AI investment to algorithms, 20% to technologies, and 70% to embedding AI into business processes and agile ways of working. In other words, these organizations invest twice as much in people and processes as they do in technologies.
When companies underinvest in people and processes, they quickly lose momentum with artificial intelligence. That’s because it’s deceptively easy to launch a series of successful AI @ scale pilots. Without the right approach and focus on change management strategy, it’s nearly impossible to achieve AI at scale across the business.
We speak with leaders who have achieved big wins with artificial intelligence in their companies and learn how they did it. Hear from executives at Lyft, Google Cloud, and others, on what they consider the keys to their success.
Subscribe and listenA recent BCG-MIT Sloan Management Review study suggests that in order to achieve significant financial benefits from their machines, companies will have to look beyond automation—and focus instead on learning and organizational transformation. A symbiotic relationship is necessary, where companies don't just teach machines what humans already know; they deploy whatever human-machine interaction the situation calls for, adapting as needed to changing context, circumstances, and scenarios.
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