The Big Leap Toward AI at Scale
Companies are encountering the “AI paradox”:it is deceptively easy to launch projects with AI but fiendishly hard to reach scale.
The power of big data has reached a tipping point with the introduction of artificial intelligence to the digital customer experience as well as core internal processes. Explore BCG's latest thought leadership on data and analytics to understand the benefits and potential risks of leveraging data at scale.
Companies are encountering the “AI paradox”:it is deceptively easy to launch projects with AI but fiendishly hard to reach scale.
The founder and CEO of Sinovation Ventures says that US and Chinese companies have a big natural advantage when it comes to AI, but CEOs are underestimating the workforce reductions that are bound to result.
David Kenny, the head of IBM’s Watson, discusses smart ways for companies to use artificial intelligence.
Artificial Intelligence
AI has made its way to the business world. What happens next?
Data-driven transformation is becoming a matter of life and death in most industries, but initiatives often fail. Here’s how to make sure that yours succeeds.
Asking for data to inform a decision can set in motion a process in which facts and figures are colored, filtered, obscured, and even fabricated. Human and organizational phenomena influence data. We need to understand how.
Many companies have high hopes for big data but are developing initiatives and capabilities ad hoc. A new approach can sharpen a big data vision—and help make it a reality.
How to tap into new sources of power and knowledge by upgrading your analytics arsenal and leading the change in behavior that you expect of your people.
Ideas That Inspire Action
To stay ahead of the curve, leaders need new insights and fresh perspectives—the more surprising and unexpected, the better.
Brick-and-mortar retailers must adopt improved data analytics as part of a broader strategy to optimize localization and keep customers coming through the door.
Agricultural-input suppliers need to act fast because the rapidly increasing use of digital information will quickly sort the winners from the losers.
Amid competition from digital giants, traditional media companies face an existential challenge. Here’s how leaders should respond.
Savvier analytics practices, partnerships, and organization models can help financial institutions generate billions from data analytics, according to a study by BCG and Morgan Stanley Research.
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