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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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Vendorflow: Better Communications for Trucking Teams with Eric Rodriguez

The Logistics of Logistics

Integration with Other Tools: The platform integrates seamlessly with other business tools and software (like CRMs and project management platforms), enabling a more cohesive operation. This helps reduce distractions and improve focus on safe driving.

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How Data-Driven Maintenance Transforms Materials Handling

Logistics Business Magazine

Current materials handling and intralogistics equipment is amazingly reliable. But by implementing data driven maintenance strategies these cost, performance, and environmental impacts can be greatly reduced. An intelligent data-driven approach Maintenance doesn’t have to be this arbitrary.

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Protect your Customers and Orders with Data

Stord

Analytics for Risk Management This isn't your grandmother's data analysis; we're talking about sophisticated pattern recognition that makes your shipping operation smoother than a freshly waxed surfboard. And how do you pick the right carrier if you are now receiving new data of damaged packages?

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Building AI to Unlearn Bias in Recruiting

Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. This eBook covers these issues & shows you how AI can ensure workplace diversity.

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Unlocking Supply Chain Potential with AI Agents and Multi-Agent Workflows

Logistics Viewpoints

Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal. user interface and data management agents) collaborating with specialized-skill and tool agents (e.g.,

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Using Data to Improve Supply Chain Operations

Material Handling and Logistics

Learn how to organize your data operations in alignment with supply chain strategy. Cloud-based supply chain management tools, the Internet of Things (IoT), artificial intelligence (AI) and machine learning are expected to figure prominently in future supply chain operations. More data is coming in than ever before.

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Discover 4 Use Cases for Applying AI to Your Recruiting Processes

Recruitment AI technology uncovers the most qualified candidates. This technology automates recruiting routines and facilitates natural conversations, resulting in higher productivity and a better candidate experience. Download the eBook to learn more!