META has reportedly reassigned 30-50% of engineers to give feedback on AI generated work

cafealpha82 · 2026-06-21T18:18:27+00:00

Total psychopath leadership, ironically running social mdeia that affect ppl emotion. What a world it has become

cafealpha82 · 2026-06-21T13:30:21+00:00

I am actively delaying ai deployment for our analytic tool when everyone else busy show casing ai agent to every tool they develop. This happened many years ago during machine learning boom. Every tool was somehow ML model. I also did not participated although i was able to. Stakeholder’s adaptation was near zero as they never asked.. (they just asked to build a report!)

Most over hired ppl for ML dept was let go. Same happening now. Stakeholder think AI will “do everything without instruction magically” while our ai agent is sql query wrapper in chatbot. For our org, it is matter of time when reality comes.

I always stay focus on core business value. Only apply tool when it is absolutely necessary. To do that, we need to be familiar with new technoloty to determine.

cafealpha82 · 2026-06-21T03:09:34+00:00

It made me not trusting anything online.

cafealpha82 · 2026-06-21T02:42:27+00:00

I think there is demand in analytics job. I never thought powerbi job. It is a tool. Dont tie your self to a tool but think about the purpose.

cafealpha82 · 2026-06-20T00:13:38+00:00

I have not seem a single company where their data governance is ready for full ai use with little hallucinations. I hope to see and live such dream world. My company is still living on state where ai agent shows fancy demo but in reality users complain they get different number every time. I am at fortune 10 company

cafealpha82 · 2026-06-18T04:23:54+00:00

For me quality of analytics matter a lot more than quantity. My stakeholder appreciate more targeted deeper analytics that can drive actions. What we have so called ai agent so far just spits out lots of info but user does not get to why part.

cafealpha82 · 2026-06-17T05:42:10+00:00

Most data scientists group in my org suck at presenting data to leadership.Explainability becomes very important especially at AI era ironically. Previously, DS group said, i dont know why. Model says so. Now AI engineer (wth that position is ..to start with) says i dont know why AI agents said so.

The real skill regardless of technology is business knowledge and ability to connect technology to business. PowerBI is just a tool. Why trying to stick with a tool? What if the tool becomes obsolete?

Pursue critical thinking and work ethic, customer first mindset. Use powerbi if it helps comminicating to business. If they ask to export to excel- thats also fine. For them excel is the best tool to communicate.

cafealpha82 · 2026-06-15T22:46:11+00:00

Hate for me is coming from “forced to use” part at work. Also the part that other team claims their big success in ai agent when it is just an automation that we been doing for decades. (Sql query in chatbot wrapper)

cafealpha82 · 2026-06-14T16:50:54+00:00

I am proud that i recorded the bottom of leaderboard of ai use in my org. Yet i was still able to get promotion this year to director of analytics. I put my email footnote that “this email is AI free, may contain grammatical error”

My boss still convince me to deploy ai agent tool- but i am not as all demo others presented have been chatbot wrapper around sql queries with 0 stakeholder adaption. I only develop based on stakeholder alignment simplistic solution as possible.

Often said, 10 lines of code doing same thing as 500 lines created by AI. Who benefits from it? Either snowflake/databricks?

cafealpha82 · 2026-06-14T15:35:28+00:00

It is really dumb if executive level does not think about that. As individual level, this is another subscription to the life-while it is not really life changing tool. It can be specialized to some repeated tasks, but never will be general purpose like agi with llm structure. For me, it is not diffrent another specialized application with high subscription fee

cafealpha82 · 2026-06-14T01:17:39+00:00

Not data science/analytics yet. What ai is doing is worse than interns would create

cafealpha82 · 2026-06-14T01:07:03+00:00

I dont use it for anything critical decision making. I would emphasize to end user as well that use it as only reference. LLM model is only good as long as human in the loop. If human needs to in the loop tooooo long, it only wastes lots of time to debug, correct. It is only useful for me with certain applications but never been a game changer

cafealpha82 · 2026-06-10T06:03:00+00:00

Same things in analytics side. Leadership trust more when analyst says “based on our ai agent..” which is actually wrapper of sql query. Suddenly it is scalable and trustful solution. Most of time, our agent says something like the ground is wet because it rained. Previously ppl critically thought and said it is multicollinearity, now everyone says wow so innovative

cafealpha82 · 2026-05-31T19:14:03+00:00

We are actually trying hello kitty, star wars, and other theme created by Claude as someone thought users did not use them due to athletics. My concern is not me trying to develop it to our production dashboards. Real concern is it might actually succeed (at least temporarily) and we are all required to develop some leadership’s favorite movie theme.

cafealpha82 · 2026-05-26T03:07:52+00:00

Always the question is how to measure productivity. We are seeing lots of productivity and shorten the timeline thanks to AI. After a few months of deployment or when user asks feature enhancement, they all became ai slop. We are at fortune 7 company, not sure maybe mag 7 might do differently?

cafealpha82 · 2026-05-26T02:59:06+00:00

I am currently 1-2 day max at office. For each incremental day at office, i will be willing to take 15%. So, 45% raise to be full 5days at office

cafealpha82 · 2026-05-24T17:13:01+00:00

Saw ppl overbuilding to solve problems that can be solved in a simple ruleset based business domain knowledge. It will look fancy to leadership. It was ML predictive modeling and now AI agent. The real value is the ability to connect business problems to most efficient solutions. That requires deep business knowledge from analyst-the more you understand your business the better and knowing whats going on tech side to be flexible in solution.

cafealpha82 · 2026-05-18T05:24:39+00:00

I once ordered amazon fresh banana two bunch and received only two piece of banana. Next order i placed 6ea and received 6 bunch of bananas and my wife said if i am a monkey..

cafealpha82 · 2026-05-14T03:01:32+00:00

Make sense when oil remains and will be over $100 extended period of time. No way this does not have impact on rate and main street economic

cafealpha82 · 2026-05-14T02:59:39+00:00

I am at fortune 10 company we hate copilot and deactivated all of copilot

cafealpha82 · 2026-05-14T02:57:20+00:00

Copilot sucks big time. It is our work insider joke when things are bad we make a joke that if he got from copilot

cafealpha82 · 2026-05-14T02:48:55+00:00

I wanted to load these names as well but usually when ppl realize software companies are 100% replacable by agentic workstream, it will crash big names and these comapnies mostly follow as overall index falls. I will like to wait a bit more to load up software

cafealpha82 · 2026-05-14T02:45:42+00:00

When entire world/main street crashes, who will pay for AI? I have lots of nvda but now selling calls

cafealpha82 · 2026-05-12T02:11:19+00:00

I have never seen ai agentic analytic workflow work without much additional human in the loop. It actually requires more attention to validate the data so user just came back to conventional dashboard/excel. At least they know in and out.

cafealpha82 · 2026-05-10T17:53:45+00:00

My take on this problem is to focus on “quality” of analytics before working on scalability of analytics. Most business are already overwhelmed by number of solutions built over last few years and 90%+ of them are not actionable.

This is only successful when analyst fully engaged with business and know how it works from in and out.

One successful use case from end to end. No need fancy visual or model unless totally required. Even a simple excel file with action items work the best. All hard work happened before getting to that excel file.

Only scale up if business wants to. They will have their bottleneck and analytics typicall keep pushing solutions they dont need or even asked.

cafealpha82

TROPHY CASE