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Datacor’s Regulatory Compliance team invites you to explore the complexities of chemical regulation across key global markets. This webinar will compare the EU CLP, OSHA HCS 2024, and Asia-Pacific frameworks, including K-REACH and GHS Japan-highlighting where alignment ends and divergence begins.
Attendees will gain insight into how products are impacted when crossing borders, with real-world examples of compliance risks that arise from inconsistent classification and labeling requirements. The session will also outline strategies to streamline international operations and minimize regulatory exposure.
Designed for chemical distributors managing exports and imports, this presentation will feature maps, timelines, and practical examples to illustrate global compliance challenges and best practices for staying ahead in a fragmented regulatory landscape.
In July 2025, it was announced that Union Pacific and Norfolk Southern reached an agreement to merge, intending to create a transcontinental rail line that would cover 45% of total U.S. tonnage. This in-depth webinar will explain the next steps the merger must go through at the Surface Transportation Board to be approved, testing the Board’s new rail merger regulations for the first time. The webinar will also provide key insights into the merger's implications for supply chains, transportation efficiency, and future challenges for chemical distributors.
Presented by Mike Bjerke, President of Headlight Solutions. This webinar will explore the practical uses of artificial intelligence. While much of the buzz today centers on large language models (like ChatGPT), many in the business community are still unsure of their real-world applications. Our discussion will highlight practical use cases for LLMs, but also broaden the lens—showing how AI is already embedded in more areas than most people realize. We’ll distinguish between artificial intelligence and machine learning, making the case that machine-learning applications may offer the most immediate business impact today. Ultimately, the goal is to reframe how we think about AI: what it is, what LLMs can and cannot do, and how to identify opportunities for applying these technologies in useful, tangible ways right now.