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Didero: From Chat to Action: Understanding Agentic AI

AI is moving beyond chat and copilots toward agents that can take action and complete work. This session breaks down what makes an AI agent different, how agents are built, and what that means for supply chain professionals. Using real-world examples—from resolving delays and communicating with carriers to updating systems—attendees will explore the building blocks of agentic AI, including reasoning, tools, memory, and execution. The session will also introduce today’s leading AI tools and agent frameworks, including Claude and ChatGPT, so attendees can better understand what’s possible and where these technologies can fit into their work.You'll leave able to:Tell agentic execution apart from chat and copilot tools by the work each one does.Describe the four parts of an agent and how its reasoning loop uses memory.Name the tools in the market and what each is good for.

Webinars
1 pts 58m
Members-OnlyAdd Bookmark

Cybersecurity on the Move: Protecting Supply Chain Data in the Field

Today’s highly interconnected digital supply chains offer real-time visibility and connectivity but also 24/7 cybersecurity threats. Cybercriminals can enter your supply chain network through a growing number of access points, including warehouses; distribution centers; manufacturing sites; transportation hubs; customer locations; and other field environments where goods are made, managed, shipped and stored. When team members and partners can remotely access your network, so too can nefarious agents. A cybercriminal only needs one weak spot to infiltrate the whole supply chain, so you must be prepared for threats from all fronts. In “Cybersecurity on the Move: Protecting Supply Chain Data in the Field,” you’ll learn how everyday devices, physical worksites and on-site human behaviors can create pathways for cyber threats. You’ll also discover practical strategies for protecting company devices, recognizing high-risk situations and maintaining strong cybersecurity habits wherever work takes place.Developed in collaboration with ASCM member Rodrigo Knackfuss, MBA, CPIM

Microlearning
0.25 pts
Members-OnlyAdd Bookmark

AI-Powered Forecasting & Planning

Predicting the future is an impossible task. Even a 10-day weather forecast is only right about half the time. Then how can you plan for next month, next quarter or next year? Traditional supply chain forecasting largely predicts the future based on patterns in historical data. While this can work with cyclical products or operations, in most cases it’s often only part of the data. There’s still a chance the forecast will be close to accurate, but there’s room for improvement.Artificial intelligence (AI) is improving forecast accuracy by identifying more complex relationships in historical data, incorporating more data sources and continuously learning from new information. Join this microlearning to explore how AI is being used to enhance forecasting processes across supply chains. You’ll compare traditional and AI-driven forecasting approaches, examine the steps involved in developing and using AI forecasts, and discover how planners work alongside AI to improve decision-making. Developed in collaboration with ASCM member Janetta Barker, CSCP, CPIM.

Microlearning
0.25 pts
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