2017 Big Data Reporting Statistics 
Smart Data Collective
FEBRUARY 17, 2021
Big data has had a tremendous affect on the healthcare sector. In 2017, the global market for healthcare analytics was valued at $16.9 While there are a number of benefits of using data analytics in healthcare, there are also going to be some challenges. Make sure your EHR system is more than simply a data storage.
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. In 2017, additional regulation targeted much smaller financial institutions in the U.S. The FDIC’s action was announced through a Financial Institution Letter, FIL-22-2017.
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Cloudera
SEPTEMBER 10, 2021
The IRS has spent more than a decade working to combat high-cost hazards, including launching a collaborative Identity Theft Tax Refund Fraud Information Sharing and Analysis Center (ISAC) pilot for the 2017 tax-filing season, advancing authentication tools and taking proactive steps in fighting business identity theft.
BizAcuity
APRIL 28, 2019
According to a Federal Bank report, more than $600 billion of household debt in the U.S. 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.
Sisense
JANUARY 14, 2021
The team at Billie was willing to do whatever it took to make sure users had high-quality reports they could trust. However, the methods they had at their disposal initially couldn’t keep up with their growing user base and the ever-evolving world of big data. He works on reporting, analysis, and data modeling.
Smart Data Collective
AUGUST 5, 2020
The majority of experts in AI development report that in the future AI will become a decent substitution for human jobs. 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.
Domino Data Lab
MAY 8, 2019
Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Challenges for Transparency ”. Riccardo Guidotti, et al.
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