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Supply Chain AI: 3 Trends Here to Stay – Thought Leaders

Logility

For our customers implementing supply chain AI solutions, the benefits of ChatGPT and generative AI are vast, including improved automated workflow and decision-making, guided scenarios and simulations, and intelligent risk management. Privacy includes ensuring that personal data is not shared.

Gartner 130
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An Open Loop Is Critical for Innovative AI

ToolsGroup

This project allowed us to assess the risks in our own AI applications more deliberately and then work together to create and test an AI risk assessment framework. Legal governance and risk management are not the most exciting topics for most data scientists.

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Breaking Boundaries: Exploring Generative AI’s Impact on Supply Chains

The Logistics & Supply Chain Management Society

Ethical and Legal Considerations: AI-generated content raises ethical concerns around privacy, bias, and accountability. Healthcare Distribution is Driving Itself Into a More Environmentally Friendly Direction Ocean Risk Management part 2: Navigating Global Shipping Alliance

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Are You Ready to Handle Blockchain Risks?

Enterra Insights

Deloitte analysts explain, “Risk practitioners across industries are very excited about blockchain’s promise to help organizations minimize — and in some cases eliminate — the risks posed by current systems. Blockchain is being viewed as the foundational technology for the future of risk management.”[3].

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E2open Releases Annual Environmental, Social, and Governance Report

E2open

Climate considerations have also been added to the company’s ongoing risk management process as well as evaluation criteria for e2open offices and data centers. Its ethical management starts with its board of directors and carries throughout its entire network through data and information security, client privacy, and risk management.

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When Will Blockchain Hype Pay-off in Supply Chain Operations?

Enterra Insights

.” Risk Management. Cybersecurity is a growing supply chain risk. In the case of protecting supply chain systems, blockchain has the potential to ensure data integrity and privacy, providing a higher level of security much beyond what current security could ever achieve.”

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Advanced Analytics and Automation Transform Supply Chains

Global Trade Management

Recent advancements in machine learning have fueled the rise of predictive and prescriptive analytics in supply chain management, offering unparalleled accuracy in forecasting demand variability. Algorithms process input data such as current inventory levels and anticipated demand, producing recommendations for raw material procurement.