CIO Business Intelligence

SEPTEMBER 6, 2022

It launched its first online-only brand, Very, in 2009 and finally abandoned its printed catalogs to go all-in online in 2015. Pimblett took a carrot-and-stick approach to get everyone working together, partnering with them on value creation (the carrot of profit) and risk mitigation (the stick of compliance).

IT 84

IT Forecasting Data Lake Enterprise 84

bridgei2i

MAY 26, 2020

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.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Smart Data Collective

AUGUST 22, 2021

The first blockchain-based cryptocurrency, Bitcoin, was launched in 2009. We cannot ignore the risk and speculative nature associated with crypto assets. The question is how long the profit opportunities will last and whether predictive analytics technology can help forecast them properly. Is Investment in Crypto Sustainable?

Predictive Analytics 131

Predictive Analytics Analytics ROI Marketing 131

CIO Business Intelligence

DECEMBER 7, 2022

We haven’t changed our forecast in three quarters,” he says, noting that the US gross domestic product (GDP) is, technically, already in recession territory and has been for the past six months. Focus on risk management, he advises, and “have a little faith in your CFO and CEO. Budgeting, IT Leadership, IT Strategy.

IT 132

IT Insurance Cost-Benefit Risk Management 132

Domino Data Lab

MAY 20, 2021

propose a different strategy where the minority class is over-sampled by generating synthetic examples. This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. The class imbalance problem: Significance and strategies. In their 2002 paper Chawla et al. Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

When these concerns loom too large to ignore, data scientists and practitioners will generally adopt one of a few suboptimal strategies. In our case, it turns out that the monotonicity regularizer allows us to increase the number of knots without incurring much risk of overfitting there are fewer ways for the model to go wrong.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108