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. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

Risk 111

Risk Modeling IT Risk Management 111

Smarten

JUNE 17, 2022

It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Sisense

MARCH 24, 2020

Twelve years ago, in the throes of the 2008 economic recession, British Airways was cutting costs across the organization. At RetailZoom , a team of data scientists supplies supermarkets and FMCG companies with predictive models that incorporate transactional and demographic data to determine the size and scope of promotional activities.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

Paul Blogs on BI

MARCH 25, 2020

Some universities and institutions have built out predictive models based on this data which are even more likely to be erroneous. I have always believed that Business Intelligence is only 50% about analyzing the data and that the other 50% is the human action taken as a result of that analysis.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

O'Reilly on Data

SEPTEMBER 19, 2023

” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” And it (wisely) stuck to implementations of industry-standard algorithms.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

Data Science and Beyond

JULY 22, 2018

Kaggle was only about predictive modelling competitions back then, and so I believed that data science is about using machine learning to build models and deploy them as part of various applications. It is now much easier to deploy machine learning models, even without a deep understanding of how they work.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111