Smart Data Collective
JUNE 18, 2021
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.
Smart Data Collective
JANUARY 27, 2021
A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.
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O'Reilly on Data
JANUARY 22, 2019
An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.
CIO Business Intelligence
OCTOBER 21, 2022
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. Currently, Chipotle is exploiting a variety of cloud services that are part of the Microsoft Azure platform, such as its AI and ML modeling services.
AWS Big Data
FEBRUARY 1, 2023
Storage and redundancy – Due to the heterogeneous data stores and models, it was challenging to store the different datasets from various business stakeholder teams. This will make launching and testing models simpler. The response times for these data sources are critical to our key stakeholders.
DataRobot
JANUARY 25, 2022
While traditional modeling relies on classification, regression, and static data, the data for time series is far more fluid. They must battle the status quo, of legacy models that work “just fine,” and the everyday issues surrounding the scale of predictions requirements. Trillion Inventory Distortion Problem , Greg Buzek, 2015).
CIO Business Intelligence
JUNE 7, 2022
To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. It is frequently used for economic and sales forecasting. What are the four types of data analytics? It is frequently used for risk analysis.
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