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Machine Learning Could Slash Car Accident Casualties in Coming Years

Smart Data Collective

When most people consider the merits of machine learning, they typically think about its applications from a capitalist standpoint. There are countless ways that business owners are using machine learning advances to pad their bottom lines. They learn to identify numerous risk factors and alert the driver.

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

Jedox

Many of us already profit from machine learning or artificial intelligence – often without even thinking about it. 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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Can Predictive Analytics Help Traders Navigate Bitcoin’s Volatility?

Smart Data Collective

Fortunately, new predictive analytics algorithms can make this easier. The financial industry is becoming more dependent on machine learning technology with each passing day. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology.

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Nominations Now Open for the Sixth Annual Cloudera Data Impact Awards

Cloudera

Cloudera 2017 Data Impact Award Winners. With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Enterprise machine learning. Nominate a project or learn more about the program here.

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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 Is Reaching New Milestones In Senior Care In 2019

Smart Data Collective

In 2017, the number of seniors over the age of 65 reached a record 1 billion people. Companies that strive to provide better senior care can use machine learning, robotics and predictive analytics to better meet the needs of their residents without having to worry about a frustrating staffing shortage.