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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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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

Errors in analysis and forecasting may arise from any of the following modeling issues: using an inappropriate functional form, inputting inaccurate parameters, or failing to adapt to structural changes in the market. For such distributions, parameter values based on historical data are bound to introduce errors into forecasts.

Modeling 206
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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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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320. They can help a company forecast demand, or anticipate fraud. Like this, users can perform efficient reporting, generate forecasts, visualize their data, and share it from any location.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning. Transcript.

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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.