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Agile Technology and Big Data Improve the State of Cybersecurity

Smart Data Collective

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Big data technology is becoming more important in the field of cybersecurity. As the demand for cybersecurity solutions grows, the need for data-savvy experts will rise accordingly. The practice of good defense.

Big Data 111
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The Countdown to DORA

CIO Business Intelligence

DORA’s uniform requirements for the security of network and information systems encompass not only enterprises in the financial sector, but also critical third-party vendors providing information and communications technology–related services to the financial sector, such as cloud platforms and data analytics.

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Predictive Analytics Made Last Summer The Season Of Altcoins

Smart Data Collective

Data analytics has been the basis for the cryptocurrency market for years. In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. They found that predictive analytics algorithms were using social media data to forecast asset prices.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes. 3) Real-Time Alerting.

Big Data 364
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Workers’ Compensation Platform Uses Big Data For Better Outcomes

Smart Data Collective

Exactly one year ago today, SNS Telecom & IT published a report highlighting the demand for big data in the insurance industry. billion on big data in 2018 alone. However, the report didn’t go into the nuances of the types of insurance that are affected by big data. The report showed that insurers spent $2.4

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Shopping with Fraud Protection and Adaptive Artificial Intelligence

CIO Business Intelligence

That wasn’t a fluke either, as the 2019 numbers were four times higher than 2018. million rules are applied to each transaction to assess its risk. However, as new data is uncovered and algorithms adapt, these changes will also need to be able to scale back out to deploy throughout the worldwide network.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. Regulations and compliance requirements, especially around pricing, risk selection, etc., Analytics is a powerful capability enabler to help Insurers transform their operations and services.

Insurance 250