In this interview, Tamim Saleh cuts through the hype around with guidance for executives about where and how to employ in their businesses.
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In this episode of our Inside the Strategy Room podcast, senior partner Tamim Saleh cuts through the hype around () and offers clear guidance for executives looking to make precise strategic decisions about where and how to employ in their businesses. Tamim shares insights on the impact of machine vision on , the future of voice recognition, and the latest developments in advanced analytics, virtual assistants, and . He outlines the challenges companies face when adopting and the steps CEOs can take to overcome them. Podcast transcript
Sean Brown: From McKinsey’s Strategy and Corporate Finance Practice, I’m Sean Brown, and welcome to Inside the Strategy Room. I’m joined today by Tamim Saleh. Tamim is a senior partner in our London office, and he is with me at our Global CFO Forum, where he’s speaking about and .
Tamim, one of the things you’ve talked about is the notion of five different developments of
Tamim Saleh: Machine learning and
So there are a lot of business problems [that image technology can help]. Take, for example, mining, where traditionally people—geologists—will go and look at the ore, spend some time, and write a report.
And then you adjust the angle of digging accordingly, and then you do this once a week to optimize the yield. Now you can do this in real time. There are cameras that can actually monitor the geology and, in real time, adjust the angles of digging. For a mining company this could be worth hundreds of millions of dollars.
This also could be applied in safety, for example, in oil and gas, where the cameras monitor people’s movements. And if there are any likely compromises, the algorithms would give warnings and something could be done. In fact, there are hundreds and hundreds of use cases or real-life business problems that will be resolved by image.
Imagine this: the amount or the level of information that you get through a combination of image and sensors is up to a billion times more than the traditional methods. And with
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