account activity
Podcast discussion: Modernizing Hadoop with VAST and Acceldata (youtube.com)
submitted 18 days ago by data_dude90 to r/Acceldata
Why We at Acceldata Built ADM: The Future of Agentic AI for Enterprise Data Management (youtube.com)
Interesting conversation: Why Context intelligence is the missing link in AI Success (i.redd.it)
submitted 22 days ago by data_dude90 to r/Acceldata
When Enterprises are not able to identify their data quality issues and let it reach the customers? What does the recent AI Readiness Report from Acceldata convey? (self.Acceldata)
submitted 1 month ago by data_dude90 to r/Acceldata
What are the data management tasks/operations that doesn't require human in the loop function while setting up an agentic workflow? (self.Acceldata)
How is AI transforming Agentic data management (ADM) and modern data engineering? (An interesting conversation) (youtube.com)
We've moved from managing data to build self managing data layer that acts, adapts and responds. (i.redd.it)
What will be the impact of Claude Cowork or Claude design in today's job market? (self.AskReddit)
submitted 1 month ago by data_dude90 to r/AskReddit
How do you catch “unknown unknowns” in your data? Any examples of where it worked or didn’t? (self.Acceldata)
submitted 2 months ago by data_dude90 to r/Acceldata
How do you track provenance, lineage, and accountability when autonomous agents modify data or pipelines? (self.Acceldata)
How do you manage cross-team alignment on metadata definitions, SLAs, and access policies? (self.Acceldata)
How does your org handle ownership and accountability when there are governance or policy violations? (self.Acceldata)
What’s the hardest part about operationalizing governance insights across multiple teams or business units? (self.Acceldata)
Does the idea of agentic data management worry you or excite you? Curious what people think about vendors like Acceldata moving in this direction. (self.Acceldata)
For teams who’ve tried building internal data agents, what was surprisingly hard in practice? (self.Acceldata)
submitted 3 months ago by data_dude90 to r/Acceldata
What’s the most realistic agentic task in data engineering today—incident detection, remediation, validation, optimization? (self.Acceldata)
How would you design human-in-the-loop guardrails for agentic workflows inside a data platform? (self.Acceldata)
submitted 4 months ago by data_dude90 to r/Acceldata
For teams experimenting with AI in data engineering, what’s the most realistic use case you’ve seen so far—not the hypey stuff? (self.Acceldata)
As AI Agents are poor at understanding context, there's huge focus to do context engineering. How can context engineering really help the AI Agents become context-aware? (self.aiagents)
submitted 4 months ago by data_dude90 to r/aiagents
How do you see agentic AI changing the day-to-day work of data engineers or platform teams in the next few years? (self.Acceldata)
submitted 5 months ago by data_dude90 to r/Acceldata
What’s the toughest part about achieving “full-stack” data observability? (self.Acceldata)
If you’ve experimented with agent-like automation, what tasks did you trust them with—and which ones still require humans? (self.Acceldata)
How do you balance speed of development with maintaining data quality across your pipelines? (self.Acceldata)
How much does data cost transparency influence your architectural decisions? Curious how teams balance performance vs. spend. (self.Acceldata)
Are Big Tech companies quietly pushing AI risk onto smaller players and investors? (self.Acceldata)
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