I had an interesting experience this week. Not all union meetings are interesting, even if they are useful. Yesterday was a pleasant exception where it was both useful and interesting. For the first time, I witnessed AI coming up as a topic of conversation. There is no secret that people fear losing their jobs due to AI automation, and sure enough I saw proof of it to the extent that the union may consider adding some clauses around protecting jobs from AI.

How is it at your workplace? Where I work, this year I witnessed a very strong push to use AI. Messaging around using AI at town halls, messaging around using AI in team meetings, articles on the intranet site, IT events around how to craft good prompts, etc. I would not be surprised if they tied some leaders' bonuses to how much they can get their teams to use AI. This part is quite annoying to me, not to mention deceitful. If I were a leader I'd straight up tell my team about it. I am not a leader - leaders are not part of the union to begin with.

The whole thing made me also think about how my colleagues use AI. It really is a mixed bag. I see everything from the person who runs a 2-line email through AI five times to finetune every word, to myself who only reach for AI when I am stuck and it's just much faster than a search engine/forums/videos to solve my issues (for example needing a script in a programming language I am not familiar with).

I work for a GIS company and our tools have not grown with our projects and client base. We use ArcPro personal geo databases (GDBs) for ALL data. We recently had a project where shit really hit the fan, one major issue was related to invalid values from poor version control. Everything uses personal GDBs and is just "version controlled" by dating filenames in Explorer. It would have been trivial to fix in a proper database. We also have operational constraints, like we can only have one person doing X job at a time since all the data for X job is in a personal GDB.

But I'm just an analyst. I've garnered some attention for my technical expertise beyond processing the data. PostGIS is a thing so it isn't as though we'd be recreating the wheel. How can I push for that sort of change? I'm thinking I can sell it using how much we lost on this project because of these avoidable failures. I'm also wondering if I can make this an opportunity to create a "database administrator" position for myself

Can you pivot to other tasks, or are you dead in the water? What about others? Your team/department? Tell us what its like for those minutes/hours.

How often does the internet drop for you (if at all)?

If you don't ever lose internet at work (lucky you!), answer hypothetically about what would happen.

A long, complicated story, summarized: (apart from Tildes, on which I lurk) I swore off all social media years ago. Then my job required that I have an account on LinkedIn. I reconsidered, and attempted to make the least disclosive account possible in an effort to protect my privacy. Things aren't going well. Despite logging in with the correct credentials, on the same device, using the same browser; and with access to my signup email, and access to the phone I used to enroll, LinkedIn has flagged my account the second time I tried using it and now requires me to upload images of myself and my government ID to regain access to their cesspool. Are you familiar with their protocols and can share insights, so that if I start again I don't face the same problem?

I have read what LinkedIn says and I have read discussions on Reddit on the topic. LinkedIn says you can opt to "use your work email" or mail them an affidavit. These options were not given to me. Everyone else I have seen reporting facing this seems to have triggered the system by losing their login credentials or moving countries; what brought this upon me and can I avoid it?

1. Is it that I use a VPN, and it may have routed through a different IP address on the second login?
2. I use an email alias. Is LinkedIn purging accounts with email domains that offer aliases?
3. Is it a result of clearing cookies?
4. Is it easier to maintain a Google account (!) which LinkedIn allows as login without this ID thing coming up?

Please be gentle with your advice as I am kind of panicking.

I see that in the headline from time to time. Not really sure how prevalent it is and it's pretty disappointing news.

but I also can't help but think:

1. the news articles are probably overblowing it and it's not probably not as prevalent as it's being portrayed
2. that any tech company doing that is shooting themselves in the foot. in total, I was an intern at various companies for a little under 3 years. I don't doubt that the work I did for the majority of the my co-ops were all things that could have been done by a chatBot. writing unit tests and small scripts and etc. but they were invaluable to me (1) understanding what is expected of me in a professional environment and (2) gave me a basic idea of how to code in a professional environment (2) gave me alot of perspective on what technologies and tools I should spend spare time learning cause my university very much focused on dinosaur-era languages, for the classes that did teach any coding related skills. same for the friends I went to uni with. So all I think is maybe in the short term, they are saving money on not hiring interns/co-ops/junior devs to do work that can be done by a bot but I feel like in the long terms that will reduce the number of intermediate/senior devs on the market which means they'll be in higher demand and cost more money.

I had heard about GLG a while ago and I was just approached by someone from GLG for a project. Does anyone have experience working with them specifically? I have never done any paid consulting gigs and I want to make sure I understand what I'm getting into.

Thanks!

I did a masters in data analytics, and then the niche I fell into in the working world was building dashboards, reports and spreadsheets of financial data for non-technical bureaucrats. Instead of ensuring data quality by technical means, my current company often just has me manually reviewing and checking financial data. This is pretty frustrating to me because I have no education in finance, and the things I miss or get wrong are so second nature to my boss that he doesn't even see them as something I should have been trained on. The only technologies I use are SQL server and excel. Any proactive steps I've made to automate processes has been discouraged as not worth the time.

I'm aware that most people spend years on tedious stuff before ever getting to work with more engaging technology, but honestly I'm starting to wonder if they've forgotten I'm not a finance guy. I want to move up in my career especially to escape my current role, but I'm feeling completely lost as to how. There's no obvious role in my company that could be a 'next rung of the ladder' to advance into, so there's nobody I can emulate to help chart a course. My boss had an unconventional path to his current role, and isn't really into manager stuff like career mentoring, so he's no help in that regard.

To anyone with experience in data science, what is the advancement supposed to look like? What are the key skills I should be developing? Am I being too averse to learning the subject matter of the data I'm working on? Any insight is appreciated!

I was contacted by a recruiter regarding a job in my field but they wanted someone with data analytics skills. I'm taking this as a sign that I should improve my skill set. Does anyone have advice for where or how to start with a very small budget?

Thanks for your help.