Marc Benioff Quotes

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.

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

Ayasdi's customers can finally learn the answers to questions that they didn't know to ask in the first place.

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

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

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

A lot of what people are calling 'artificial intelligence' is really data analytics - in other words, business as usual. If the hype leaves you asking 'What is A.I., really?,' don't worry, you're not alone.

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

I like the idea of using all this science and technology to allow for our clients to have a deeper insight into the market.

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.

There are a number of fascinating stories included in 'The Human Face of Big Data' that represent some of the most innovative applications of data that are shaping our future.

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

Any enterprise that is serious about experiencing the power of Big Data in real-time should be looking at DataTorrent.

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

Knowledge created a new culture of business derived from the information gathering and analysis capabilities of first the mainframe and then the PC.

Big data has been used by human beings for a long time - just in bricks-and-mortar applications. Insurance and standardized tests are both examples of big data from before the Internet.

Evolving technologies that allow economists to gather new types of data and to manipulate millions of data points are just one factor among several that are likely to transform the field in coming years.

Most of 'big data' is a fraud because it is really 'dumb 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.

We're rapidly entering a world where everything can be monitored and measured. But the big problem is going to be the ability of humans to use, analyze and make sense of the data.

The world is now awash in data and we can see consumers in a lot clearer ways.

Business analytics or predictive modelling is a $100 billion industry, and $41 billion is spent on outsourced business analytics every year. I think that's about twice the size of the movie industry - it's really big.

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

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