Commodity trading and energy data workflows are increasingly shaped by the need to work with multiple data sources, formats, and systems at the same time. In many organizations, data is distributed across vendor feeds, internal databases, Excel files, APIs, and communication channels, making it difficult to use consistently in analytical and operational processes.
On June 11 at 9:30 AM (CDT), NorthGravity will host a webinar focused on how LLMs and MCP-based architectures can help organizations make commodity data more accessible, structured, and operationally usable across these environments.
The session will explore how trading and data teams can move from fragmented data landscapes toward more connected workflows, where datasets, schemas, metadata, and validation processes are available to AI systems in a controlled and reliable way. Rather than focusing on AI concepts in isolation, the discussion will look at how these technologies are applied within real data workflows.
The webinar will be led by Ani Sundaram, Client Success Manager at NorthGravity, who works directly with clients on implementing data and workflow solutions across commodity trading, energy, and market data environments.
Topics covered in the webinar will include:
The session is designed for professionals working with commodity data who are looking to improve how data is structured, accessed, and used in day-to-day workflows, while ensuring reliability and control in production environments.
Interested in joining the webinar?
Registration is available via Microsoft Teams
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