For years, AI has primarily been viewed as a tool—something people use to automate tasks, generate content, analyze data, or improve productivity.

That perspective may be starting to change.

With the rise of AI agents, multi-agent systems, autonomous workflows, and increasingly capable reasoning models, AI is beginning to participate in work rather than simply assist it. In some environments, AI can now plan tasks, coordinate actions, analyze information, make recommendations, and interact with other systems with limited human intervention.

This raises a broader question about how organizations should think about AI going forward.

Should AI continue to be viewed as software that employees use?

Or should it be viewed as a digital coworker that contributes to workflows alongside human teams?

The distinction matters because it changes how we think about management, accountability, governance, performance measurement, and workforce design.

We’re already seeing organizations experiment with AI agents in customer support, software development, operations, research, and knowledge work.

The technology is still evolving, but the direction seems increasingly clear.

I’m curious how others see it:

Will AI remain a productivity tool, or are we moving toward a future where AI becomes a genuine participant in how work gets done?

When working with multiple datasets, entities, or concepts, one of the biggest challenges is showing not just the data itself, but the relationships, overlaps, and connections between them.

Hi everyone,
I’m a student learning data reporting on my own and trying to build good habits early, not just make reports that “look right.”

I’m comfortable with basic dashboards and charts, but I get stuck on questions like:

• How do you decide what actually matters to report vs what’s just noise?
• How do you think about structuring reports for different audiences?
• What mistakes should beginners avoid so reports stay clear and useful as data grows?

Would really appreciate how experienced folks approach reporting thinking, not just tools. Trying to learn the right mindset early.

Thanks in advance.

I’m curious to hear your thoughts on AI features in BI tools. I’ve been exploring options like Tableau and Power BI — especially their natural language query functions. Has anyone here actually used these? Are they true time-savers or more trouble than they’re worth?

For instance, Tableau’s Ask Data seems handy for quick visualizations, but I’ve heard it sometimes misses key filters, like specific years. Power BI’s Q&A feels a bit more responsive, especially for things like “sales by region in 2022.” I also came across FineBI’s new AI Q&A feature — seems beginner-friendly for self-service data prep. Anyone given it a try? How does it stack up?

Would love to know — are these AI features genuinely helpful, or do they still require too much oversight? And are there any other BI tools with solid AI capabilities you’d recommend?

Looking forward to your insights!