Paul Polman Quotes

As we settle into 2013, I predict this: We'll see companies that promote this shift from private ownership thrive. More people will be able to access things they simply don't need to own, and they'll save money and live better, cleaner, green lives doing it.

Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.

There is a book yearning to come out of me: about how we can build the new collaboration economy, and the role of 'openness' in our quest for efficient use of resources and as a driver of innovation.

It's difficult to imagine the power that you're going to have when so many different sorts of data are available.

Big data in education has huge potential to improve learning materials.

Forget artificial intelligence - in the brave new world of big data, it's artificial idiocy we should be looking out for.

Uber, the world’s largest taxi company, owns no vehicles. Facebook, the world’s most popular media owner, creates no content. Alibaba, the most valuable retailer, has no inventory. And Airbnb, the world’s largest accommodation provider, owns no real estate.

Uber is redefining the transportation industry now; Airbnb is doing it to the hotel industry. You can expect that to happen in every single industry.

I will talk about two sets of things. One is how productivity and collaboration are reinventing the nature of work, and how this will be very important for the global economy. And two, data. In other words, the profound impact of digital technology that stems from data and the data feedback loop.

Uber, and Airbnb to a different extent, implemented the same battle plan. Bezos is an investor in both companies and, to some degree, has relationships with both CEOs. It is not a surprise that they are heirs to Amazon.

Big data is going to make us all healthier.

'Data scientist,' as a profession, is largely a fad.

A P2P business is a company that creates a platform which allows individuals or 'peers' to directly buy and sell from each other. This activity has sometimes been called the 'sharing economy.' Some are wary of these new companies and the challenge they pose to the established market.

The spread of information technology and the long-term decline in the cost of computing power have created opportunities that simply did not exist before. Airbnb, for example, could not have existed before the Internet.

In a slower economy, companies look for more value. The cloud provides this. So does Big Data.

The next wave of the social graph is empowering services like Airbnb and Lyft that give people the chance to have that physical interaction. People are more open to that because of Airbnb. Airbnb took couch surfing and took an additional step.

Every company today is a data company whether they realize it or not.

There's been the emergence of a philosophy that big data is all you need. We would suggest that, actually, numbers don't speak for themselves.

The way we use technology is completely wasteful. We duplicate many vacuum cleaners, tools; In the future we will make the best of equipment and make it available to everyone.

I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.

Like all major transitions in human history, the shift from a linear to a circular economy will be a tumultuous one. It will feature heroes and pioneers, naysayers and obstacles, and moments of victory and doubt. If we persevere, however, we will put our economy back on a path of growth and sustainability.

My mission is to bring the power of big data insights and analytics to every company.

The big mystery of Big Data is causation versus correlation.

The battle between Google and Apple has shifted from devices, operating systems, and apps to a new, amorphous idea called 'contextual computing.' We have become data-spewing factories, and the only way to make sense of it all is through context.

'Personalization' is a popular word in retail, and people often misuse it to describe simple marketing tactics, like segmenting emails or using big data to identify the likely gender of a visitor to their websites.