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Predictive Analytics Drives Criminal Justice Reform with Recidivism Forecasting

Smart Data Collective

National Institute of Justice’s (NIJ) “ Recidivism Forecasting Challenge ” (the Challenge) aims to increase public safety and improve the fair administration of justice across the United States. NIJ will evaluate all entries on how accurately they forecast the outcome of recidivism. In accordance with priorities set by the U.S.

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How Machine Learning Enhances Momentum of Cryptocurrency Price Movements

Smart Data Collective

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Importance of machine learning in forecasting cryptocurrency prices. However, trend forecasting appears to be much more effective at gauging the direction of cryptocurrency prices.

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Inside track: Chris Bedi on his evolving CIO role at ServiceNow

CIO Business Intelligence

For Chris Bedi, who joined ServiceNow as CIO in September 2015, a lot: the company recently gave him a new title, chief digital information officer, and rebranded his IT team as “digital technology.” “The What’s in a name? These analytics tools were basic apps, but not trivial, he says. Let’s go do it and figure it out as we go,” he says.

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Middle Eastern CISOs work internationally to tackle security issues

CIO Business Intelligence

trillion annually by 2025, up from $3 trillion in 2015, according to Cybersecurity Ventures. End-user spending on security and risk management in the Middle East and North Africa (MENA) is forecast to total US$2.6 compared to last year, Gartner has forecast. Middle Eastern countries are not immune to cybercrime.

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Building a sustainable automotive supply chain

IBM Big Data Hub

Pair that with a semiconductor shortage amidst global car sales that are forecasted to top 69 million , and you can understand that disruptions in the automotive supply chain would be detrimental to the industry.​ Supply shortages can lead to line outages, manufacturing delays, out of stock issues and lost revenue.

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Chipotle’s recipe for digital transformation: Cloud plus AI

CIO Business Intelligence

When Curt Garner became Chipotle’s first CIO in 2015, the only technology used for online restaurant ordering was, “believe it or not,” a fax machine, he says. The system provides “demand-based cooking and ingredient preparation forecasts to optimize throughput and freshness while minimizing food waste,” according to the company.

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The Real Life Value of Time Series

DataRobot

Trillion Inventory Distortion Problem , Greg Buzek, 2015). While a daunting prospect, time series can help solve these problems using demand forecasting and anomaly detection models. Organizations are struggling to make forecasting decisions for reasons ranging from changing market conditions to real-world issues and anomalies.