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Future-Proof Your Data Career: The AI-Era Playbook -- session slides and recording
Slides and recording for this session below:
Sep 8
•
Paras Doshi
2
August 2026
[Session slide & recording] Agentic Analytics in Production: What to Build First
Sesion landing page: Agentic Analytics in Production
Aug 18
•
Paras Doshi
1
9 learnings from running a Tiny AI Company
What four months of operating a tiny AI-run business taught me about distribution, reliability, agent hype, and learning by doing.
Aug 17
•
Paras Doshi
8
3
1
The Operating Model for Trustworthy Analytics AI Agents
A valid SQL query can produce the wrong answer when it starts from the wrong definition or source.
Aug 15
•
Paras Doshi
4
What data science professionals need to do now to stay relevant
Prompting is becoming table stakes. The durable opportunity is building analytics systems that know what the data means, what they can do, and when to…
Aug 3
•
Paras Doshi
3
July 2026
3 things data professionals shouldn't outsource to AI
A lot of AI career advice ends with two words: judgment and taste.
Jul 22
•
Paras Doshi
[Session slide & recording] 3 Things Data Professionals Should Never Outsource to AI
Slides are below:
Jul 22
•
Paras Doshi
[Session slide & recording] Build 3 AI Harnesses for Trustworthy Analytics
Slides can be downloaded here:
Jul 16
•
Paras Doshi
1
What OpenAI, Anthropic, and Meta learned after putting data agents to work
A valid query can still produce the wrong business answer. Each company built a different context system to reduce that risk.
Jul 13
•
Paras Doshi
1
[Session slide & recording] Assess Your AI Data and Analytics Capabilities
Recording from the session below:
Jul 13
•
Paras Doshi
2
[Session slide & recording] Catch 7 AI Analysis Mistakes Before They Drive Decisions
Please see the Recording below:
Jul 10
•
Paras Doshi
1
The 4 levels of an AI-native data team
Most companies are not behind because they lack artificial intelligence tools. They are behind because their learning does not compound.
Jul 3
•
Paras Doshi
10
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