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Logistics, Data, and AI: Key Learnings from the Pandemic

Dataversity

The post Logistics, Data, and AI: Key Learnings from the Pandemic appeared first on DATAVERSITY. And with this in mind, earlier this year, we commissioned an in-depth report on how the pandemic impacted the freight procurement industry, by speaking with hundreds of shippers with $100 million-plus in annual freight spend.

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eCommerce Brands Use Big Data for Logistics and Fulfillment Warehouses Protection

Smart Data Collective

One of the biggest benefits of data analytics is that it can help e-commerce brands optimize their logistics and fulfillment processes. This article will discuss four ways that e-commerce companies can better protect their logistics and fulfillment warehouses using converged security technologies. Keep reading to learn more.

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Data Logistics Mandates: Devising a Plan to Ensure Long-Term Data Access

Dataversity

times, according to a […] The post Data Logistics Mandates: Devising a Plan to Ensure Long-Term Data Access appeared first on DATAVERSITY. One million companies globally use 365 and create 1.6 billion documents each day on the platform and in the next two years, that is expected to grow by 4.4

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Unraveling logistic regression: An essential guide to predictive analysis

Analysts Corner

Introduction Logistic regression, much like linear regression, stands as a fundamental method in predictive analytics. However, while linear regression is typically employed for predicting quantitative outputs, logistic regression shines in the realm of categorical predictions, primarily binary. The threshold at 0.5 Less than 0.5,

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What Is Binary Logistic Regression and How Is It Used in Analysis?

Dataversity

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. What Is Binary Logistic Regression Classification? Logistic regression measures the relationship between the categorical target variable and one or more independent variables.

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Closing the Logistics Data Gap

Dataversity

While data has been proliferating throughout the supply chain, helping companies drive efficiency and boost revenue, there’s one notable area that’s lagging behind: logistics. The post Closing the Logistics Data Gap appeared first on DATAVERSITY.

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What is Binary Logistic Regression Classification and How is it Used in Analysis?

ElegantJ BI

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. What is Binary Logistic Regression Classification? Logistic regression measures the relationship between the categorical target variable and one or more independent variables.

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