How is your organization using (or considering using) GenAI to create production reports and dashboards? Any specific challenges or opportunities that you are seeing?

Generative AIDashboards & Visualization
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Chief Technology Officera month ago

we have archives of data in different formats - it's helpful primarily for the exploratory step and generation of mock up visuals using real data... you can ask it to create D3 JS styled reports from the meta data and evaluate many different graphs and filtering options to decide what formats to implement more permanently

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Data Protection Officer and AI Legal Lead in Softwarea month ago

In my previous role as Head of Data Privacy, we introduced GenAI into our production environment to streamline reporting and make it more accessible. Engineers could describe what they needed in plain language, and the system generated complete reports with key metrics and trends. Managers used Power BI to ask simple questions and get instant answers, no technical skills required. It made everything run more smoothly. But for me, the real focus was always on the data behind it. Connecting GenAI to older systems was a challenge, but protecting personal and sensitive data was the bigger one. We implemented strict safeguards (like anonymising inputs, validating data, and maintaining audit trails) because it’s not just about speed; it’s about trust.

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no titlea month ago

 second the PII thing as well- we have a VPC LLM in AWS and methods to ID and then either strip PII or tokenize it from pretty much anything (unstructured documents, columns of data, etc)

VP of IT in Manufacturinga month ago

We are yet to consider Gen AI for production reporting, however we have a great need to do that. Many a times our dashboards need narrative to explain trends, we could generate these by Gen AI and have concerned authority verify and certify/edit the information accordingly. 

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Chief Information Technology Officer in IT Servicesa month ago

At our organization, we’re actively exploring how GenAI can support the creation of dashboards and production reports—especially to automate routine analysis and surface insights faster for decision-makers. From my experience, the real opportunity lies in combining GenAI with structured data to generate contextual narratives for non-technical users. That said, challenges remain around data quality, governance, and ensuring the AI doesn’t hallucinate or mislead. We’re approaching it cautiously, piloting use cases where the risks are low but the learning potential is high.

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