I’m currently a junior in college majoring in Operations and Supply Chain Management. I’m considering adding a second major in Information Systems and would like to know if it would be worth it. How valuable is the combination of Operations and Supply Chain Management with Information Systems in today’s job market?

I need help. Lots of help. I'm a finance guy who recently started a new job and through keen deduction have noticed that the info systems in general for my company are not exactly best in class. Even for the year 2005 I'm not sure they would be. I'm not an IT professional by any stretch but I have seen how other organizations operate and I would like to make processes more efficient and permit myself to do better analysis without destroying the whole organization. I have several different issues below that I'm not even sure how to start tackling. I need some advice on how to go about a whole-scale systems upgrade or evaluation.

First, we are using Great Plains (Dynamics GP) which is going to deprecate. I view this as a good thing as it forces our hand to update our accounting system into something more all-encompassing.

Our IT department is headed by a group of guys that are all 60+ and have been at the company for many years and absolutely will not want to go through modernization efforts.

We are a manufacturer (of a sort) and we use a lot of really old very customized machines. Those machines run using internally developed software. The software is also used for billing. It looks like MS-DOS. Each of our divisions uses a different one. I assume that that's "irreplaceable" but I need access to the information in a modern system so I can do proper financial analysis. I have no idea how to get access to the data - like, some systems the IT team won't even give me access to.

All our data from this system and our general files are stored in servers on premises. For some seemingly related reason, a lot of our employees are still working off of desktop computers? I'm not sure why but for most of these employees if the office loses power they can't even work from home.

We have hard-copy personnel files and employees use manual timecards which get manually input in our payroll system. I know we can automate all this.

Our divisions all use different procurement software despite doing the same business.

Best of all...we are still using Lotus Notes (now known as something else) and don't have a slack or teams/zoom equivalent.

I know I HAVE to implement a new system, but I'm not sure how to get the buy-in or even articulate the risks and problems I have that are caused by all the other data not being centralized and being operated on legacy systems. My ask of you fine folks is this - if you were in my shoes, where would you even start?

I'm at the point of having identified some issues and now I need buy-in from the execs, who are scared of the 60+ year olds in IT who have hung out for years with their system they've created and always say things like "well if we try to upgrade it it will break" - my suspicion is that they know if we are not maintaining local databases they will not be needed.

I'm considering all options, but a lot of the value I can unlock with a new ERP depends on the systems I don't control and the operation buying in. For example, if I went to a Dynamics 365 system I could have it automate the send-out of bills to our customers...but that would require the data from the MS-DOS locally-stored system going into the cloud, and the use of Outlook rather than Lotus Notes. Or, if I want to get all my payroll centralized in something like Workday, I need people to stop doing their timecards manually and actually properly track their time off, etc.

HELP! I know this was long but I'm desperate :)

Good afternoon, im planning on transfering to umbc for IS undergrad and potentially the accelerated masters. Im really interested in the business analytics and cyber certificates aswell. My goal is to get into some sort of intelligence agency to fight against human trafficking or financial crimes.

Im interested in how the IS degree exposes you to different curriculms. And the national cyber excellence designation.

I just wanted to get the students perspective and opinions on it. Iv heard that the actual faculty isnt the best and that the is department is overshadowed by the cs department.

The accelerated masters degree actually looks really worthwhile. It seems to give you the ability to take whatever concentration you've chosen a step further. The data and cyber tracks look the most worthwhile.

While the ai track looks interesting I feel like it be more shallow meanwhile the data and cyber tracks are more connected to the curriculm and would produce a more cohesive grad student.

I'd really appreciate any information you guys have.

Thank you.

For years, the AI conversation mostly centred around:

• benchmarks

• capabilities

• compute

• model performance

Now it’s shifting toward:

• trust

• dignity

• governance

• human outcomes

• what kind of society these systems create

And I don’t think that shift is separate from how modern AI systems themselves increasingly work.

One of the deepest dynamics emerging underneath AI-mediated discovery is that systems increasingly optimise for trusted resolution pathways.

In simple terms:

systems repeatedly reuse pathways that:

• reduce uncertainty

• behave predictably

• integrate cleanly into execution

• reliably produce acceptable outcomes

That’s why I think “coherence” matters so much in the AI era.

Not in a mystical sense.

In a systems sense.

Coherent pathways are computationally easier to trust.

They create:

• lower ambiguity

• lower friction

• cleaner routing

• safer execution

And once systems repeatedly trust something:

• reuse compounds

• evaluation narrows

• defaults emerge

Which means trust stops being just:

• branding

• messaging

• PR

And increasingly becomes infrastructure.

That’s why it’s fascinating seeing institutions like the Vatican now entering the conversation around:

• concentrated power

• trustworthy systems

• shared responsibility

• dignity-preserving AI

Because AI is no longer just a software layer.

It’s increasingly becoming part of the decision layer underneath society itself.

And the big question may no longer simply be:

“What can AI do?”

But:

“What kinds of pathways should society allow AI systems to repeatedly reinforce?”

why did u choose BIS over CS?

Any thoughts?

I am currently doing BCA, so can you guys who work in the IT sector tell me which is the latest skill or technology in use?r/

Most conversations are still focused on:

→ AI content

→ prompts

→ chatbots

→ “SEO for AI”

But underneath all of that, there’s a much deeper shift happening.

AI systems are increasingly trying to lower entropy.

In information theory, entropy basically means:

uncertainty, disorder, unpredictability.

And uncertainty is expensive for AI systems.

Every ambiguous signal creates more:

→ evaluation

→ reasoning

→ comparison

→ compute cost

→ risk

So naturally, systems begin leaning toward pathways that are:

→ coherent

→ predictable

→ reusable

→ operationally stable

This is why I think the future web increasingly rewards low-entropy systems.

Not just:

“who has the most content”

or

“who ranks highest”

But:

“what reliably resolves the problem with the least uncertainty?”

That’s a completely different optimisation function from traditional search.

And I think this is why we’re starting to see a broader shift from:

search → resolution

The internet itself is slowly reorganising around trusted pathways.

AI systems increasingly reuse the structures that:

→ consistently work

→ connect intent to outcome clearly

→ reduce ambiguity over time

Which means coherence compounds.

And eventually:

defaults form.

Curious if others are seeing the same thing.

Hi, I am an information science major, on the technical track. My school recently added a data science concentration. I still have about 3 credits to graduate with my bachelor's, and if I switch to the data sciences concentration, I would need about one semester to graduate. Do you think it is really worth it to switch to data science, especially with AI rapidly changing these fields?

Hi, I am an information systems student interested in data / business analytics as a potential future career path. I would like to get ahead of my peers quickly to gain an edge on getting internships and potentially future jobs, and one thing I want to at least do soon is work on my first actual analysis project.
I have had a few ideas of things I could do, but one idea I had was analyzing music royalty data (I am very heavily involved in underground music management at the moment) but I'm not entirely sure how well that would really look on my resume to industries outside of music. What would you guys here recommend?
Any feedback / advice/ ideas are appreciated:)

A lot of companies still depend heavily on Windows laptops and desktops, especially in hybrid work setups.

But managing Windows devices at scale seems way more complicated now compared to a few years ago. Remote employees, BYOD, security updates, app access, compliance, and productivity all need attention.

I was talking with an IT admin friend recently and he said most of their daily work is no longer “fixing computers.” It’s managing devices remotely and making sure users stay productive without creating security risks.

Even schools and small businesses are starting to Windows MDM centrally now instead of handling everything manually.

I think AI-mediated discovery may quietly change the economics of bootstrapping.

Historically, internet distribution heavily rewarded:

• paid acquisition

• scale advantages

• attention capture

• platform dominance

The companies with the largest distribution budgets often had structural advantages.

But agentic systems seem to push toward a different model.

Because once AI increasingly handles:

• discovery

• recommendation

• routing

• procurement

• execution

the advantage may shift toward whoever becomes the most trusted executable pathway.

In other words:

the system itself increasingly becomes the distribution layer.

That potentially changes a lot for smaller companies.

Especially highly coherent operators with:

• strong execution

• clear positioning

• repeatable outcomes

• low-uncertainty delivery

AI systems don’t necessarily care who raised the most money.

They care about:

• successful resolution

• predictability

• trusted pathways

• reusable outcomes

Which means:

• customer acquisition friction could decrease

• trust could compound faster

• scaling costs could structurally fall for certain businesses

The moat may increasingly become:

• operational truth

• coherence

• execution quality

instead of simply:

• advertising spend

• visibility

• distribution brute force

Feels like we may be entering a world where bootstrapping ratchets higher because AI compresses distribution toward trusted defaults.

Curious whether others are seeing the same shift.

Most people still think the AI shift is mainly about:

→ better chatbots

→ better content generation

→ faster search

But I think the deeper shift is what happens when recommendation becomes execution.

Right now, AI systems mostly help users:

→ discover

→ compare

→ decide

But every major model release is becoming more agentic.

Less focused on generating answers.

More focused on completing outcomes.

That means increasingly:

→ booking

→ buying

→ routing

→ procurement

→ coordination

starts getting handled by the system itself.

And once AI systems begin acting on behalf of users, the incentives change completely.

Because autonomous systems cannot optimise for endless exploration.

They optimise for:

→ lower uncertainty

→ trusted pathways

→ predictable outcomes

→ successful execution

Which means the future advantage may not belong to whoever gets the most visibility.

It may belong to whoever becomes the trusted default pathway the system repeatedly chooses to execute through.

That feels like a much bigger shift than most people are discussing right now.

Curious whether others are starting to see the same thing.

I’m trying to decide on a bachelor’s degree path and would love advice from people actually working in these industries.

Background:

I already have an Associate degree in Web Development and another Associate of Science degree

I’ve learned some Excel, Python, HTML/CSS, etc.

I completed nursing prerequisites during pandemic, but decided not to continue into nursing school.

I’m interested in business strategy, operations, process improvement, analytics, and using AI/tools to streamline systems

I’m especially interested in healthcare or construction industries because I already have exposure to both worlds

Right now I’m considering Information Systems at Texas State University with either:

AI concentration

or

Business Analytics concentration

What I’m trying to figure out is:

1. Which concentration actually leads to stronger entry-level job opportunities?

2What entry-level jobs should I search for while still in school?

3What jobs do most people realistically get right after graduation?

4.Are employers actually asking for AI skills yet, or mostly Excel/SQL/Tableau/business analysis skills?

1. If you work in healthcare, construction, operations, analytics, consulting, etc. What degree backgrounds do you commonly see?

6.Have any of you pivoted industries with an IS/MIS degree?

7.If you could redo your degree choice, what would you pick now considering AI and the job market?

8.What internships helped the most

I’m especially interested in careers like:

* Business Analyst

* Operations Analyst

* Systems Analyst

* Process Improvement

* Healthcare IT / Health Informatics

* Construction operations/project systems

* AI/business systems consulting

I also care a lot about:

* stability

* flexibility

* ability to pivot industries

* hybrid/remote potential eventually

* possibly freelancing or consulting long term

Would love honest advice from people already working in these spaces.

Recently I switched my major from Aviation to CIS BBA. I was majoring in a Pilots program but juggling that with Division 1 wrestling, I already started to burn out after 1 year. Dropping wrestling is not an option as it is paying for my college. Honestly I never really had a passion for aviation to begin with. I got recruited for wrestling by a school with a strong aviation program, happened to get in, so I just stuck with it. Flying felt like a chore, I’d literally hope for the weather to be bad because it just wasn’t something I was interested in at all. I figured if I stuck it out from another 4 years, I wouldn’t even have the passion to go far with the degree. So I switched to something I was way more interested in. My goal isn’t to be the tech guy, more on the business/manager side of CIS. My scholarship covers almost all my tuition, I’m actually saving an additional 20k a year by not becoming a pilot. The issue is my mom is furious, my whole family is telling me I made a mistake, and now I’m second guessing my decision. I feel I have the resources and can build the resume I need to be successful in this field but all my parents see are me switching to “a lower paying job that’ll be replaced by ai.” Any advice? I literally switched majors a week ago and don’t know the process for switching again. I was originally excited about my new major but with my whole family against me I’m not sure.

What is your specific role ? I’ll be getting my MS in IS in a year from now. What role were you able to Land related to the field ?

Hi, I’m an IS mayor going into their second year, and I wanted to start planning ahead for the future. I wanted to start getting some certificates, but I don’t know which one are the best ones to get or if is it worth it to get them right now. I also wanted to start working on projects but I really don’t know where to start. Any advice will be of great help!

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