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Transforming Credit and Collection with Predictive Analytics

BizAcuity

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. WNS is a leading utility company, which put predictive analytics to use.

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Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Decision Management Solutions

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). 1 MIT Sloan Management Review September 06, 2017.

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AI Technology Helps Facilitate Bitcoin Trading in Djibouti

Smart Data Collective

Predictive analytics tools have made it easier for traders to spot trends that would otherwise be missed. In 2017, the country’s central bank issued a statement saying that it sees “great potential” in Blockchain technology. The government of Djibouti has been supportive of the cryptocurrency industry.

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7 famous analytics and AI disasters

CIO Business Intelligence

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The refrain has been repeated ever since.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. billion in 2017 to $190.61 User interfaces allow us to interact and communicate with machines, encompassing the likes of computer monitors, keywords, controllers, and digital dashboards.

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How Big Data is Changing the Internet Experience for Average Consumers

Smart Data Collective

Europe enacted the Global Data Protection Requirement in 2017 to address consumer privacy concerns. These benefits include the following: Improving Internet security by using new threat scoring models that are dependent on predictive analytics. These concerns have driven regulators to take action.

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What is Modern BI and How is it Different From Traditional BI?

Smarten

Disparate data sources are integrated into a uniform view, so users can drag and drop data and interact with the tools. BI dashboards are more flexible and support personalization. They are no longer restricted to formats and delivery designed by IT.

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