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How Financial Institutions Are Becoming Champions Of Big Data

Smart Data Collective

Nonetheless, the financial industry is using big data more than ever. The success of both Fintech companies and traditional banks will hinge on their ability to leverage big data to its fullest potential. How Financial Institutions Are Becoming the Unlikely Champions of Big Data.

Big Data 100
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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Testing 122
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AI Data, Traditional Trading, and Modern Investments

Smart Data Collective

Fortunately, the first robo-advisors were created in 2008. As AI data is based entirely on statistics and doesn’t consider emotions, a robo-advisor can only react: it’s incapable of making proactive choices based on emotional responses from shareholders.

Finance 138
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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.

Risk 111
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These Are Data’s Dark Ages, and That Needs to Change

Alation

For those of us who champion the power of data, the past five years have been an incredible ride thanks to the rise of big data. And here’s the catch: in spite of our recent data-driven achievements, the evidence suggests that humans may well be in the dark ages of data.

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New Thinking, Old Thinking and a Fairytale

Peter James Thomas

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. Here we come back to the upward trend in searches for Data Science. Source: Google Trends. And reduced costs aren’t guaranteed […]. Gentlemen (and Ladies) Place your Bets.

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Data Science, Past & Future

Domino Data Lab

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.