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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

In an interview with the Wall Street Journal, Matthias Winkenbach , director of MIT’s Megacity Logistics Lab, details how last-mile analytics are yielding useful data. However, big data and the Internet of Things could give delivery drivers and managers a much better idea of how they can reduce costs due to perished goods.

Big Data 275
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8 data strategy mistakes to avoid

CIO Business Intelligence

Data silos result in inconsistencies and operational inefficiencies, says John Williams, executive director of enterprise data and advanced analytics at RaceTrac, an operator of convenience stores. Their large language models have poor or dirty data. Data cleansing tools are one way to address the problem, Johnson says.

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Unveiling the Top 10 Data Visualization Companies of 2024

FineReport

Criteria for Top Data Visualization Companies Innovation and Technology Cutting-edge technology lies at the core of top data visualization companies. Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart.

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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. Finally, we can use Amazon SageMaker to build forecasting models that can predict inventory demand and optimize stock levels.

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The 10 biggest issues IT faces today

CIO Business Intelligence

According to Evanta’s 2022 CIO Leadership Perspectives study, CIOs’ second top priority within the IT function is around data and analytics, with CIOs seeing advancing organizational use of data as key to reaching enterprise objectives. Angel-Johnson shares that perspective. “I Colisto says he’s seizing on those opportunities. “IT

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What's trending in data in 2020?

Data Insight

Last year almost 200 data leaders attended DI Day, demonstrating an abundant thirst for knowledge and support to drive data transformation projects throughout their diverse organisations. This year we expect to see organisations continue to leverage the power of data to deliver business value and growth.

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Smart Factories: Artificial Intelligence and Automation for Reduced OPEX in Manufacturing

DataRobot Blog

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). As these models make inferences, DataRobot’s MLOps offering allows teams to monitor these models and create downstream triggers or alerts based on the predictions.