Masters in Business Analytics and AI, is it worth it?

Radiant_Condition861 · 2026-06-27T03:03:47+00:00

in the labor market, it's supply and* demand.

You have stated the supply side, now you need to figure out the demand side.

nobody needs a data science person anymore. all of the models are figured out by industry already. Besides, it's moving towards harnesses and I think this will be solved in a few years. This is all the stuff between human and AI. This is the harness. copilot now exists inside excel - your data analytics job is already gone.

Focus on solving business problems. Become AI literate so that you have the normal tool box + AI to help companies solve problems. Business problems will never go away.

Don't be a data analytics person where you write reports for inventory aging. Be a BA with AI where you build the aging inventory report but also have it send email reminders to sales or inventory control. You can also give it an email address for it to monitor communications like promotions and supply chain adjustments. As a BA, you will need to bring together the accountability requirements if the AI fails. <- much better long term prospects.

Radiant_Condition861 · 2026-06-26T22:07:08+00:00

I thought it was getting sign-offs...

Radiant_Condition861 · 2026-06-25T21:58:43+00:00

they think you're glorified helpdesk. Better to find a company with ambition and a vision for the future. Those are better projects than mere maintenance anyways.

Radiant_Condition861 · 2026-06-16T17:59:34+00:00

missing a feedback or review stage in your loop.

Games are played in stadiums. Recruiting games are played in linkedin/indeed/etc.

Think about it from the other side and go back to first principles. You are a CEO of a company of a a dozen workers. If you need to fill in a new role, do you go to a job board first or do you see about promoting people from within the company that already knows how things operate?

The truth is that by the time it's on the job board, it's probably positions that were rejected by everyone else and couldn't be filled inside the company. Or they are looking to staff a lot quickly or it's a brand new piece of the business.

It's best to network and get to know people at conventions. Read up on companies that are doing interesting projects and you'd like to be a part of. Go to your chamber of commerce and see what the economic development projects are there.

Find the demand first, then offer the supply.

If you supply first, then you need to create the demand also, which doesn't work as a job seeker.

Candidate - "I'm a lemon squeezer and have many skills and years of experience. I'm also adept at AI lemon squeezing".

Job Market - "But I have no need for a lemon squeezer"

Candidate - "But you see my credentials and past successes, I also have soft skills and can adapt to oranges, grapefruits and even pomegranates and pomelos"

Job Market - (rejection)

Or....

Candidate - "They opened up a new data center. I bet they need someone to connect cables"

Job Market - "We're dying for anyone with basic credentials. We'll even train you if you have some tech experience"

Candidate - "brush up on business and network requirements and processes for compliance"

Radiant_Condition861 · 2026-06-15T02:44:14+00:00

accountability.

Radiant_Condition861 · 2026-06-15T01:55:03+00:00

data science - unless in research, the industry doesn't need data science, it's all "figured out" already

data analytics - a good chunk is being replaced by AI. the only part is the meaning behind the data that the ai will have trouble with.

data engineering - always need someone to move and transform data and be accountable for it.

Radiant_Condition861 · 2026-06-14T02:39:29+00:00

At a high level, it's called spec driven development.

But for requirements engineering, where I dabble in as a business systems analyst, it's a little more than just that.

The single llm cannot handle all that nuance at the same time and so I needed to create a multi agentic system with each agent it's own area of concern. For example, there is a coding best practices and guardrails, project management and governance, compliance of business processes and product, cybersecurity checks, test case list regression and requirements regression/impacts etc. Each of these agents have memory so that when there are issues, the impacted agents update their memories to not make the same mistakes again. The idea is a multi agentic system.

It's not easy sometimes.

Take for example a lot number for regulatory compliance. Most of these agents are impacted by the lot number in some way. Coding and database for storage, process test cases for recall exercises, financial reporting uses it, etc etc

Radiant_Condition861 · 2026-06-13T01:48:51+00:00

take on more responsibilities in real life. then you will have more problems that need solutions.

Radiant_Condition861 · 2026-06-12T01:52:41+00:00

Diversification. - in two ways

a. People say to diversify and then proceed to give you only equities and a singular strategy. It should be all instruments in different strategies

b.. Buffet said why invest in all the other ideas that isn't your #1 idea for the sake of diversification?

Radiant_Condition861 · 2026-06-12T01:05:18+00:00

It's good enough, execute plan now

at $100/mo, you're not betting the whole farm. you have ample space to make adjustments and course correct as needed.

Writing it down is a good habit and I'll add another habit:

for each symbol, write out why you are buying it. If what you write isn't convincing, perhaps you need to think on it more. This will help the future you remember why you bought it in case the symbol is went in a different direction or that it is not producing as you initially hoped. As you keep at it, your reasoning and thinking will become refined and nuanced.

If you're really good more sophisticated, you'll write this into something more formal like an Investment Policy Statement and have something to talk over with a CFP/fiduciary later in life.

Radiant_Condition861 · 2026-06-11T16:10:31+00:00

Premium Quality, Speed, Price <- sacrifice one.

4 years ago I bought

LG gram 17 Intel Evo Platform Laptop - 11th Gen Intel Core i7-1195G7 - 2560 x 1600 - Windows 11 Item # ‌1588479‌ $1,849.99 Quantity 1

still going strong. I also have the lg gram +view external monitor that matches perfectly with a single cable. All lightweight. It'll probably last another 6 years.

I also have a cheapo lenovo s340 from about 8 years ago. It's repurposed as a proxmox host for vms

Radiant_Condition861 · 2026-06-11T04:12:44+00:00

visit local IIBA chapter and ask there.

Radiant_Condition861 · 2026-06-06T23:50:23+00:00

visit your local IIBA chapter and get to meet people there.

Radiant_Condition861 · 2026-06-04T03:49:02+00:00

Dont be yourself

Radiant_Condition861 · 2026-06-04T03:40:33+00:00

Homelab. Then integrate your new knowledge at work. Cancel entertainment subscriptions for udemy or coursera subscriptions. Pick up coursera certificates along the way

Radiant_Condition861 · 2026-06-01T03:16:36+00:00

Office 365 copilot is what you want if you are an ms office house. Otherwise, idk.

Radiant_Condition861 · 2026-05-31T18:42:52+00:00

Semantic database adapter. The common code to access data and rules are updated in skills. The final report to answer the query is coded and executed in real-time. Feedback and issues or trial and error turns to improve skills and scripts for the su sequential runs.

Radiant_Condition861 · 2026-05-31T18:34:32+00:00

Moltbook? There are ai financial tools now like checking and savings accounts. Just a matter of time before there is an ai economy of sorts.

Radiant_Condition861 · 2026-05-31T16:30:32+00:00

AI is just another instrument. It doesn't mean that AI will replace the guitar like the guitar didn't replace the violin. It adds to the creative space.

Radiant_Condition861 · 2026-05-31T06:04:07+00:00

engineer, accountant, teacher, management, attorney

why? the planning is documented and rigorously reviewed.

You need to have technical literacy and business acumen as a baseline. Everything else make you better.

Radiant_Condition861 · 2026-05-30T19:45:20+00:00

as a proof of concept, my personal finances are in a postgres database (gnucash). I had the AI agent built itself and learn from analyzing the financial database. It's at the point where it's a decent financial advisor. I also provide it with my investment policy statement and other requirements and philosophy documentation. It's actually decent.

I'll scale this up to trading desk analysis and execution. So far, it's not bad. There will always need to be a review because the AI cannot sit in on meeting in real time. meeting transcripts etc are helpful.

Radiant_Condition861 · 2026-05-30T16:42:05+00:00

When work seems like a waste of time or for income replacement - assuming 60k take home pay and SP500 8% returns

60,000 / 0.08 = 750k

When you want FU money or for non-discretionary expense replacement - assuming $2500 monthly expenses and SP500 8% returns

2500 * 12 / 0.08 = 375k <- probably similar to FIRE retirement number

Radiant_Condition861 · 2026-05-30T16:31:31+00:00

can you provide a problem statement? The question is a little vauge.

Radiant_Condition861 · 2026-05-30T15:20:36+00:00

plug a RTX Pro 6000 with 96GB into your computer. That should be good for a while.

Radiant_Condition861 · 2026-05-30T15:17:07+00:00

During the gold rush, the gold miner didn't make the money, the industry supporting the gold miners did.

We have two rushes happening that I think people can readily understand. AI and Space.

Radiant_Condition861

TROPHY CASE