Jerry Yang Quotes

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

There's a lot of power in executing data - generating data and executing data.

The ability to collect, analyze, triangulate and visualize vast amounts of data in real time is something the human race has never had before. This new set of tools, often referred by the lofty term 'Big Data,' has begun to emerge as a new approach to addressing some of the biggest challenges facing our planet.

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

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.

Big Data is just that - big. But, it's a term that is largely misunderstood and difficult to explain.

The people who are thinking most about big data right now are corporations and governments.

Collect It All Process It All Exoloit It All Partner It All Snff It All Know It All

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.

You need to use data science and machine learning to get the ground truth of what's happening inside of a company.

Every part of your business will change based on what I consider predictive analytics of the future.

There's definitely a huge opportunity for businesses to transform their operations and decision making by using data.

GIS is being influenced by and integrating with all kinds of new innovations such as faster computing, big data, the cloud, smart devices, and distributed processing.

Social media has given companies access to unprecedented amounts of information on client behavior and preferences - so-called Big Data. But making sense of it all and turning it into actionable policy has been elusive.

I think you can have a ridiculously enormous and complex data set, but if you have the right tools and methodology then it's not a problem.

New applications will have to deal with big data. We have to analyze it on the fly, so we have to have a system that is transactional and analytical at the same time. We cannot have a multi-stage system. This is too slow for modern applications.

When human judgment and big data intersect there are some funny things that happen.

Data is the kind of ubiquitous resource that we can shape to provide new innovations and new insights, and it's all around us, and it can be mined very easily.

We're not in an information age anymore. We're in the information management age.

Across our great nation, we've begun to see an acceleration of the power of data to deliver value.

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

People are saying, 'Big Data is the new oil.'

If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.

Big data knows and can deduce more about you than Big Brother ever could.

The whole concept of data science is that the software becomes the expert, and you, as the average user, are able to understand what's going on.