DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. In 2017, additional regulation targeted much smaller financial institutions in the U.S. What is a model?

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Risk Modeling IT Risk Management 111

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade. See Ribeiro et al.

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CIO Business Intelligence

MAY 14, 2024

Enterprises need to ensure that private corporate data does not find itself inside a public AI model,” McCarthy says. You don’t want a mistake to happen and have it end up ingested or part of someone else’s model. The excitement and related fears surrounding AI only reinforces the need for private clouds.

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IT Data Processing Enterprise Modeling 136

DMBS2

DECEMBER 12, 2017

Predictive modeling is a huge deal in customer-relationship apps. They have access to lots of data for model training. China also has a reasonable path to doing so (Russia not so much), in line with the “Lots of data makes models strong” line of argument. They have deep pockets.

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Machine Learning Predictive Modeling Deep Learning Modeling 50

DataRobot Blog

MAY 25, 2022

In 2017, Hurricane Harvey struck the U.S. DataRobot enables the user to easily combine multiple datasets into a single training dataset for AI modeling. DataRobot combines these datasets and data types into one training dataset used to build models for predicting whether a building will be damaged in the hurricane.

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Risk Predictive Modeling Insurance Predictive Analytics 52

datapine

NOVEMBER 27, 2019

Hotels try to predict the number of guests they can expect on any given night in order to adjust prices to maximize occupancy and increase revenue. The predictive models, in practice, use mathematical models to predict future happenings, in other words, forecast engines.

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Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Domino Data Lab

SEPTEMBER 18, 2019

Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. From 2010 to 2017, the median price of a single-family home in San Francisco has gone from approximately $775,000 to $1.5 Introduction. There is a good reason for that.

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Visualization Interactive Machine Learning Data Science 99