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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.

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LTL in a Post-Yellow World with Curtis Garrett

The Logistics of Logistics

About Understand LTL The Understand LTL education brand is a new initiative that is focused on simplifying the LTL industry and helping people to build the mental models in their mind to think about LTL clearly. Unique approach: The course uses humor, visual appreciation, deep thinking, and lightbulb moments to help students learn about LTL.

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What Warehouse Modeling Software Should You Use?

Logistics Bureau

Essential Steps to Using Warehouse Modeling Software for Design 1) Understand the Design Objectives and Constraints The first step in your review should be to determine and prioritise the objectives for your warehouse facility and operation.

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Data Quality: Your Digital Transformation Depends on It

Logistics Viewpoints

In a prior post , I wrote about the various ways data is transforming global supply chains. Data is the raw fuel of digital transformation and the linchpin to accelerating industry collaboration, automation, predictive insights and so many more cutting-edge capabilities (including those yet to be invented). So, what is quality data?

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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

Machine Learning occurs when a machine takes the output, observes its accuracy, and updates its model so that better outputs will occur. More recently, demand planning applications based on machine learning have improved forecasting by incorporating competitor pricing data, store traffic, and weather data.

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What Georgia-Pacific Is Doing With Causal AI Is Remarkable

Logistics Viewpoints

It analyzes new and historical order data, customer preferences, and transactions. GP describes Causal AI as a mixture of Knowledge AI and Data AI. Data AI empowers the system to analyze vast amounts of data, identify patterns, and generate probabilistic outcomes in near real-time. It’s a different way of working.”

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Modeling brewing capacity to drive cost savings at HEINEKEN

AIMMS

Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. Yeah, so there was an existing Brewing Capacity Model which lived in an Excel file. But it had its limitations, of course. There was no global master data in place either.