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.

By redirecting focus, wealth managers can successfully respond to challenges brought on by digital disruption, demographic shifts, and tighter regulation. Wealth managers have seen their fair share of ups and downs in recent years, and while challenges remain, advisers can drive business and growth by paying attention to demographic segmentation, how investors are using technology, and changes in regulation. In this episode of the McKinsey Podcast, Simon London first speaks with PriceMetrix chief customer officer Patrick Kennedy and McKinsey partner Jill Zucker about the North American wealth-management industry; he follows that with a discussion with senior partner Joe Ngai, on the industry in China. Simon London: Welcome to the McKinsey Podcast with me, Simon London. Today, we're going to be talking about financial advice and the people who provide it: financial advisers, or as they're sometimes known, wealth managers. Wealth management is a very big business--and also a business facing a number of challenges, such as new technology, changing demographics, and tighter regulation in a lot of countries. A little later, we're going to be getting a perspective on China. But we're going to start here in North America. For the first part of the conversation, I'm joined on the line by Jill Zucker, a McKinsey partner based in New York, and Patrick Kennedy, who's based in Toronto. Pat is chief customer officer for PriceMetrix, which provides data and analytics to the wealth-management industry.

Autonomous and electric cars, connectivity, and ridesharing are changing the way auto industry players think about value chains, data analytics, and manufacturing. Behind all the talk of robo-cars, electric vehicles, and increased car connectivity is a focus by major car companies on serving customers' more intricate technological needs. In this episode of the McKinsey Podcast, senior partners Asutosh Padhi and Andreas Tschiesner speak with McKinsey's Simon London about how four trends--autonomous driving, connectivity, electrification, and ridesharing--are paving the way for entirely new forms of mobility. Simon London: Welcome to the McKinsey Podcast. Let's start with a question. Is it your phone, your laptop, maybe you're wearing a smartwatch? Well, if you drive a car that's less than a few years old, it's probably smarter than any of these. And your next car will be even smarter: more sensors, more connectivity, more processing power. Perhaps even the ability to drive autonomously.

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.

What's ahead as the field matures? Since the concept took hold, big data has made big waves. The field of analytics has developed rapidly since the McKinsey Global Institute (MGI) released its landmark 2011 report, Big data: The next frontier for innovation, competition, and productivity. But much value remains on the table as organizations wrestle with issues of strategy and implementation. In this episode of the McKinsey Podcast, MGI partner Michael Chui and McKinsey senior partner Nicolaus Henke speak with McKinsey Publishing's Simon London about the changing landscape for data and analytics, opportunities in industries from retail to healthcare, and implications for workers. Simon London: Welcome to this edition of the McKinsey Podcast. Today we're going to be talking about data analytics and how organizations can use the unprecedented volume of data at their disposal to transform industries, create new business models, and, frankly, make better decisions across everything they do. Joining me here in London to discuss the issues is Nicolaus Henke, the global leader of McKinsey Analytics and chairman of QuantumBlack, an acquisition McKinsey made in 2015. And joining us from San Francisco is Michael Chui, a partner with the McKinsey Global Institute. Nico and Michael are among the coauthors of The age of analytics: Competing in a data-driven world, which is a new McKinsey Global Institute research report. Nicolaus Henke: Thank you very much. Simon London: Before we get into detail on the latest research, I think it might be helpful to take a step back and clarify what we mean in terms of the age of analytics. Cynics would say, "Come on.