Data Pine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Astera

MAY 4, 2023

Unleashing the power of AI in data-driven Ad Targeting: personalization, optimization, and innovation for modern digital advertising. Traditional machine learning (ML) algorithms, such as logistic regression and decision trees, have been used in digital advertising for years. You’re not alone.

Predictive Analytics 40

Predictive Analytics Artificial Intelligence Digital Logistics 40

Astera

APRIL 10, 2023

In particular, the adoption of AI-powered document data extraction is driving a paradigm shift in the world of supply chain management, enabling companies to achieve unprecedented levels of efficiency and cost savings. This approach saves time and effort and enables a more efficient extraction process.

Supply Chain 52

Supply Chain Documentation Logistics Procurement 52

Astera

APRIL 10, 2023

In particular, the adoption of AI-powered document data extraction is driving a paradigm shift in the world of supply chain management, enabling companies to achieve unprecedented levels of efficiency and cost savings. This approach saves time and effort and enables a more efficient extraction process.

Supply Chain 52

Supply Chain Documentation Logistics Procurement 52

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

Data Pine

AUGUST 29, 2022

4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. Best for: For readers that want to learn the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they’re built.

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105