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  • The way big data is transforming our industry and Statoil is in many form.

  • Every business area and business line has their own value in data.

  • So depending on the disciplines and the work that needs to be done

  • with the access of so much more data that we have today, we see a big benefit

  • and we also see a change in the way we work.

  • So within Virgin Atlantic we already have a number of big data initiatives going on.

  • We get information from our airplanes, from our maintenance crew, from our fuel suppliers

  • that allows us to analyze how fuel efficient those planes are being.

  • And using some modern statistical techniques

  • weve been able to cut the amount of fuel that we use by a couple of percent,

  • which may not sound a lot but when you consider that we spend in the region of literally billions of dollars on fuel

  • a couple of percent makes a big difference to our bottom line.

  • So that’s where big data has had an immediate impact.

  • But were starting to roll out those analytical techniques into

  • revenue management, into customer management,

  • looking at all aspects of our operation to see what we can do with the information we already have

  • to make more effective business decisions.

  • So I believe the next five years will be a huge challenge for organizations to unfreeze, to become fluid again,

  • to rethink their structures.

  • I think there’s a huge opportunity there to understand how information,

  • how data, how actually building a data-driven organization

  • leveraging the power of knowledge in a network

  • to make a company really agile and fluid, that’s a huge opportunity as a company, as a CIO to be involved with that.

  • We, for example, have just taken delivery of Boeing’s new 787 aircraft.

  • Those planes have been built with a view to spewing out vast amounts of data.

  • Every single component in those planes

  • is attached to the airplane network and provides us with data on how it’s operating.

  • They are true Internet of Things objects.

  • A 787 on a single flight can produce upwards of a third of a terabyte of data.

  • And when you consider that each of those planes is doing hundreds if not thousands of flights a year

  • the amount of data that we have to deal with is truly massive.

  • But the benefit we gain from it is equally massive.

  • But instead of just having the data into one silo, like one area, one discipline

  • we are able to share the data across disciplines and we can see that the cross connection brings new benefits.

  • So we see, for example, data being used not just for the drillers in the drill bit,

  • but actually being used within the exploration and the

  • petroleum technology area for reservoir interpretation.

  • And also we see benefits where we share data between disciplines like finance and control and geologists.

  • What were starting to look at is how the Internet of Things impacts the consumer.

  • And you have a duality which is conflicting with each other quite a bit

  • because as a company I want to know everything about a consumer wherever they are.

  • As an individual I absolutely hate the thought

  • that people can look at what I’m doing, where I am and what’s happening with my data.

  • It is going to have an increasing impact both on consumers and on the companies that want to sell things to consumers

  • as to how we can find a balance between providing information to us the business

  • without impacting the privacy of the consumer.

  • If as a company you can make that exchange explicit,

  • if you can say I’m going to give you value in return for the information that your devices are blasting out to the world

  • I think there’s not going to be too many problems.

  • People always understand an exchange of value like that.

  • But it has to be explicit.

  • What we say is that the data owner is the asset owner. It’s very much the data is the business.

  • It’s important for the business and that’s where it needs to be.

  • So the IT role is orchestration, is ensuring that it’s accessible, it’s reliable, it can be utilized and

  • you can actually enhance the value of the data.

  • But what we do is we are very close connected to the business lines to ensure that they are the ones pulling the facts,

  • pulling the data and not just IT pushing it because the only way we believe we can make things change is if there is

  • curiosity around how you can do things differently.

The way big data is transforming our industry and Statoil is in many form.

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ビッグシンカーズ2015。IoTとビッグデータがビジネスをどのように変革するか (Big Thinkers 2015: How IoT and big data are transforming business)

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    richardwang に公開 2021 年 01 月 14 日
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