Jamie Dimon Quotes

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

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.'

Everything is changing now that we are in the cloud in terms of sharing our data, understanding our data using new techniques like machine learning.

Once upon a time, if you were going to get a loan from me, I would have had to look at your file, and I would have to make a decision about whether youre going to get a loan. Maybe we would meet and talk about it. There would be some level of human involvement and human interaction. Now, a lot of this is determined by an algorithm.

There's a whole company called Palantir that does nothing but derive and create algorithms riches to search through big data. We're not using their capabilities. For heaven's sake, some of this is just ineptitude.

Big data is indeed a buzzword but it is one that is frankly under-hyped.

In fact, the private sector is improving their algorithmic ability to search through big data month after month after month. And, of course, a big government bureaucracy isn't keeping up.

Data are becoming the new raw material of business.

The great temptation of Big Data is that we can stop worrying about comprehension and focus on preventive action instead. Instead of wasting precious public resources on understanding the 'why' - i.e., exploring the reasons as to why terrorists become terrorists - one can focus on predicting the 'when' so that a timely intervention could be made.

Data is going to be dynamic... and, combined with the performance of computing that allows for artificial intelligence to be applied, is going to bring all kinds of insights and additives to enhance everyday life.

Because SBI is so large, serving customers in India's big cities and small rural villages alike, it has a pressing need for better tools and technology to monitor lending risks.

We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.

Data is the new oil.

Big data is going to make us all healthier.

Governments like China and the United Arab Emirates are investing heavily in AI and see it as a competitive advantage.

A calculator is a tool for humans to do math more quickly and accurately than they could ever do by hand; similarly, AI computers are tools for us to perform tasks too difficult or expensive for us to do on our own, such as analyzing large data sets or keeping up to date on medical research.

The answers to today's most important scientific, business, and social problems lie in data.

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 have a lot of human judgment involved in the financial industry in terms of risk management, in terms of investment decisions, and things that really allow us to blend the best of technology and the human brain.

Rapid development in areas like machine-to-machine communications and the Internet of Things, coupled with the proliferation of big data, means higher-skilled professions, such as lawyers, journalists and accountants, are changing too. Some of their tasks are being replaced.

We are drowning in information.

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

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

We need new, dynamic models for growth through the sharing economy, using big data to unlock new insights and adopting closed-loop cycles.