2017 Big Data Risk Statistics 
DataRobot Blog
APRIL 29, 2022
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.
Smart Data Collective
MARCH 28, 2019
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Smart Data Collective
MARCH 27, 2020
Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Traditional data, like demographics, continues to be a factor in risk assessment. Teens and young adults are less experienced drivers and, therefore, at risk for more car accidents. Demographics. Occupation.
Smart Data Collective
APRIL 13, 2021
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.
Cloudera
SEPTEMBER 10, 2021
By more effectively leveraging its petabytes of current and historical data, the IRS is working to stave off costly fraud and waste, more efficiently deliver on fundamental missions, and better protect taxpayers, including from risks such as identity theft.
BizAcuity
APRIL 28, 2019
is delinquent as of June 30th, 2017. Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. And this data is crucial in taking the necessary steps to ensure successful debt collection.
Smart Data Collective
AUGUST 5, 2020
The point is that the American courtrooms have faced government pressure to reduce prison quantity but avoiding risks in crime rising. Specifically, they apply the examination of historical crime statistics and face-recognition technology to improve staff effectiveness. It depends strictly on the type and quality of data received.
Expert insights. Personalized for you.
111 
Let's personalize your content