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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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Automated Sales Forecasting with Predictive Analytics Making AI Real (Part 4)

Jedox

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

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Reflections on the Data Science Platform Market

Domino Data Lab

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Reflections. The three segments that have crystallized are: Automation tools. Automation Tools.

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The future of casino marketing strategy is digital plus data

BizAcuity

Marketing a business with legal and regulatory complications is no less than navigating a minefield. In 2018, the US Supreme Court’s decision to legalize sports betting was historic. Casino Marketing matters. According to Statista, the US online gambling market is expected to reach $93 billion by 2023 from $67 billion in 2022.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. Industries harness predictive analytics in different ways.

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

datapine

If you put on too many workers, you run the risk of having unnecessary labor costs add up. All this vital information can be coupled with other trackable data to identify potential health risks lurking. Chronic insomnia and an elevated heart rate can signal a risk for future heart disease for instance. on a permanent basis.

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7 famous analytics and AI disasters

CIO Business Intelligence

The patients who were lying down were much more likely to be seriously ill, so the algorithm learned to identify COVID risk based on the position of the person in the scan. The algorithm learned to identify children, not high-risk patients. In 2018, Reuters broke the news that Amazon had scrapped the project.

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