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AI Risks Include Data Poisoning and Model Corruption

Logistics Viewpoints

These are big data platforms that monitor news sources and assorted databases from governments, financial institutions, ESG NGOs, and other sources to detect when an adverse event has occurred or may be about to occur. Most argue that when the UI is trained with the companys own data, the risk of hallucination is small.

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The Three Pillars of Sustainability in Supply Chain and Logistics: A Strategic Guide

Logistics Viewpoints

Patagonia serves as an excellent example of this approach, incorporating recycled materials into its products and offering repair services to minimize waste while maintaining a strong brand commitment to sustainability. Collaboration has also emerged as a key enabler of economic sustainability.

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How to Reduce Carbon Footprint in Your Supply Chain

Logistics Bureau

For example, switching from air to ocean freight for non-time sensitive shipments can reduce carbon emissions by up to 95% per unit shipped. Success will depend on getting executive buy in, setting up governance and keeping stakeholders informed throughout. Do you want me to expand on any of these or talk about your specific situation?

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Celanese Leads the Pack When it Comes to Agentic AI

Logistics Viewpoints

What Celanese has accomplished is the single best example ARC is aware of employing agentic AI and copilots at scale. Agentic AI involves creating a system of interacting agents, each trained on a specific task or dataset. Data governance is critical. Celanese is an exception. Agentic allows for much greater flexibility.

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Standards Driven Innovation: How Connected Vehicles Are Impacting Logistics and Smart Warehousing

Logistics Viewpoints

For example, logistics companies are to employ Level 2 and 3 autonomous vehicles that assist drivers by adjusting speed and steering based on road conditions. For example, logistics companies operating older fleets are faced with upgrading their vehicles to meet the requirements of SAE J3016 standards for automation.

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Companies Cannot Transform Through AI Alone

Logistics Viewpoints

Redesign the process, then use IT I’ll give you a recent example from my business, which enables real-time supply chain visibility, with AI-powered predictive insights and analytics, for the world’s largest shippers and their partners. Take onboarding and training new employees. Metrics are critical as well.

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Editor’s Choice: 4 Factors to Determine if Self-Distribution is a Viable Alternative for your Health System

Logistics Viewpoints

However, these technologies come with their own costs and require a significant amount of training for staff members before they are able to operate them effectively. These types of technologies allow for greater visibility across all stages of the distribution process as well as more efficient use of resources.