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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. And this data is crucial in taking the necessary steps to ensure successful debt collection.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. The Explosion in Telco Big Data: 2012-2017.

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Machine Learning Could Slash Car Accident Casualties in Coming Years

Smart Data Collective

In 2017, the university forged a partnership with Microsoft and the city of Bellevue. Data from these accidents is used to train machine learning algorithms to identify correlating risk factors with car accidents. New machine learning initiatives offer promising opportunities to lower car accidents.

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New technologies like AI and machine learning are driving the digital transformationMaking AI Real (Part 1)

Jedox

Most companies find it difficult to recruit specialized talent and do not have a large team of experienced data scientists at their service. Finance in its new role, sitting at the center of data analytics, is increasingly expected to deliver the data-driven insights to guide company strategy.

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How Big Data is Changing the Internet Experience for Average Consumers

Smart Data Collective

As scalability with big data accelerates, consumers and organizations around the world are starting to witness its impact. Every aspect of our lives has been shaped by big data to some degree. How is big data changing the Internet? Big Data is Changing the Direction of the Internet Forever.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. It’s an extension of data mining which refers only to past data.