Leaders from McKinsey Technology Council, academia and industry, highlight AI, metaverse, crypto, and quantum computing as some of the key business priorities in 2022, according to a recent report. Predicting the trends that will headline business agendas this year as well as the ones that fly under business' radars, but need more attention, the leaders claim that investments in digital are expected to continue as the world manages continued impacts of the Covid disruption. Artificial intelligence (AI) and Machine Learning (ML) Businesses are expected to continue to invest in AI and ML through a process known machine learning operations (MLOps), whereby they can create an operating system that streamlines the production and maintenance of machine learning models. According to Rodney Zemmel, senior partner at McKinsey & Company, "MLOps provides the opportunity to create an operating system of people and technology that can make the process of creating each new application dramatically easier, helping to enable the whole business." Michael Chui, partner at McKinsey Global Institute believes that MLOps will allow businesses to deploy AI more cost effectively and at scale, as a point of competitive advantage.

In this episode of the McKinsey Global Institute's Forward Thinking podcast, host Michael Chui speaks with Jeffrey Ding, researcher and founder of the ChinAI Newsletter, about information asymmetry in artificial intelligence between China and the West. They cover why data may not be like oil, the Chinese industry adage on products, platforms, and standards, "unsexy AI," and more. An edited transcript of this episode follows. Subscribe to the series on Apple Podcasts, Google Podcasts, Spotify, Stitcher, or wherever you get your podcasts. Anna Bernasek, co-host: Michael, there's a lot of talk right now about artificial intelligence, or AI, and what it means for global competition. I'm really glad we've got a guest today that can talk to us about what's really going on, particularly when it comes to the US and China. It definitely is a fascinating topic--at least, I find it personally. I'm a former AI practitioner and more recently, at the McKinsey Global Institute, have been able to study the impact of AI on business and more broadly. And one of the reasons I'm so excited about today's conversation is because it's with somebody you probably don't know yet but probably should. He's famous in certain corners of the internet but his work, it turns out, is relevant everywhere.

Most of us followed the exciting introduction of the new iPhone X, and there you also saw in the press conference, it's all about machine learning now for face recognition, applied also, machine learning in face recognition to unlock your phone. So, I think we all experience it already with our smartphones, and going forward, we'll see much more of it. Michael Chui: What we're starting to see is these AI technologies underpinning a lot of the things, all the online and mobile services that we're now increasingly taking advantage of. So, for instance, in e-commerce or media, when systems are providing you with suggestions for things you might be interested in, things you might be interested in reading or things you might be interested in buying--the next-product-to-buy use case, as we describe it--increasingly, those types of systems are powered not only by statistical methods, but by some of these AI technologies as well, hopefully bringing consumers closer to the things that they'd be most interested in. Simon London: I'm going to throw one more into the pot there. I'm lucky enough to live in the city of Mountain View in Silicon Valley. There are a surprising number of self-driving cars out on the road.

In this episode of the McKinsey on AI podcast miniseries, McKinsey's David DeLallo speaks with McKinsey Global Institute partner Michael Chui and associate partner Bryce Hall about the latest trends in business adoption of artificial intelligence (AI). They discuss where the technology is being used most across industries, companies, and business functions; the keys to getting impact from AI investments; and what lies ahead. There's no shortage of predictions about how it could fundamentally change the way we live and work. Over the past few years, companies around the world have been figuring out exactly how AI technologies can improve their performance in a number of areas across their business. But is AI actually delivering significant results? Moreover, what can we expect to see as we move into a new decade of AI use and development? To answer some of these questions today, I'm joined by Michael Chui, a McKinsey partner with the McKinsey Global Institute, who is based in our San Francisco office, and associate partner Bryce Hall from our Washington, DC, office.

CEOs and other senior executives hear that artificial intelligence (AI) has arrived. But with all the media hype, they often struggle to determine what it can really do and how to deploy it in their businesses. In fact, 41 percent of the 3,000 executives surveyed in a recent McKinsey Global Institute study admitted they've yet to adopt AI because they're unsure about how it can help their organization. But with AI showing real results for early adopters, it's clear the time to enact an AI strategy is now. To go deeper on these ten crucial issues, see the full article on HBR.org. Jacques Bughin is a senior partner in McKinsey's Brussels office and director of the McKinsey Global Institute, Michael Chui is a McKinsey Global Institute partner, and Brian McCarthy is a partner in McKinsey's Atlanta office.

January 31, 2019Disaster relief, remote-healthcare diagnostics, tracking rhino poachers, upping student achievement--each of these disparate activities could get a big boost from artificial intelligence (AI). A recent discussion paper from the McKinsey Global Institute (MGI), "Notes from the AI frontier: Applying AI for social good," lays out just how AI can help tackle some of the world's most challenging social problems, analyzing 160 use cases. The good news: about one-third are already being used today. Still, there's much more that can be done, both to implement these solutions and to fully understand the breadth of what they can do for social-good organizations. We gathered questions about this topic from our social-media audience around the globe for Michael Chui, an MGI partner based in McKinsey's San Francisco office and one of the report's authors.

In this episode of the McKinsey Podcast, McKinsey Global Institute partner Michael Chui and MGI chairman and director James Manyika speak with McKinsey Publishing's David Schwartz about the cutting edge of artificial intelligence. Today, we're going to be journeying to the frontiers of artificial intelligence. We'll touch on what AI's impact could be across multiple industries and functions. We'll also explore limitations that, at least for now, stand in the way. I'm joined by two McKinsey leaders who are at the point of the spear, Michael Chui, based in San Francisco and a partner with the McKinsey Global Institute, and James Manyika, the chairman of the McKinsey Global Institute and a senior partner in our San Francisco office. Michael Chui: Great to be here. David Schwartz: Michael, where do we see the most potential from AI? Michael Chui: The number-one thing that we know is just the widespread potential applicability. That said, we're quite early in terms of the adoption of these technologies, so there's a lot of runway to go. One of the other things that we've discovered is that one way to think about where the potential for AI is, is just follow the money. If you're a company where marketing and sales is what drives the value, that's actually where AI can create the most value. If you're a company where operational excellence matters the most to you, that's where you can create the most value with AI.

In this episode of the McKinsey Podcast, Simon London speaks with MGI partner Michael Chui and McKinsey partner Chris Wigley about how companies can ethically deploy artificial intelligence. Click on time stamps in the transcript to listen to the relevant sections of audio. Michael Chui is a partner of the McKinsey Global Institute and is based in McKinsey's San Francisco office. Chris Wigley is a partner in the London office. Simon London, a member of McKinsey Publishing, is based in McKinsey's Silicon Valley office.

Artificial intelligence has the potential to create trillions of dollars of value across the economy--if business leaders work to understand what AI can and cannot do. In this episode of the McKinsey Podcast, McKinsey Global Institute partner Michael Chui and MGI chairman and director James Manyika speak with McKinsey Publishing's David Schwartz about the cutting edge of artificial intelligence. Today, we're going to be journeying to the frontiers of artificial intelligence. We'll touch on what AI's impact could be across multiple industries and functions. We'll also explore limitations that, at least for now, stand in the way. I'm joined by two McKinsey leaders who are at the point of the spear, Michael Chui, based in San Francisco and a partner with the McKinsey Global Institute, and James Manyika, the chairman of the McKinsey Global Institute and a senior partner in our San Francisco office. Michael Chui: Great to be here. David Schwartz: Michael, where do we see the most potential from AI? Michael Chui: The number-one thing that we know is just the widespread potential applicability. That said, we're quite early in terms of the adoption of these technologies, so there's a lot of runway to go. One of the other things that we've discovered is that one way to think about where the potential for AI is, is just follow the money. If you're a company where marketing and sales is what drives the value, that's actually where AI can create the most value.

Kai-Fu Lee shares his perspectives on developing and adopting artificial intelligence in China and the United States with McKinsey Global Institute partner Michael Chui. Artificial intelligence (AI) is advancing at a breakneck speed, with two major players emerging: China and the United States. Each country has very different strategies, backgrounds, advantages, and disadvantages. Kai-Fu Lee has a unique view of AI development in China, in his present roles as chairman and CEO of Sinovation Ventures and president of Sinovation Venture's Artificial Intelligence Institute and from his extensive background in the topic in former leadership roles at Microsoft Research China and Google Greater China. Michael Chui, a partner of the McKinsey Global Institute (MGI), spoke with Kai-Fu Lee to understand his perspectives on AI in two of the leading global markets.