greenvale

Superstar
Supporter
Joined
Aug 1, 2017
Messages
4,796
Reputation
1,531
Daps
18,122
Reppin
Delaware
Next week is my last week of work at my job. I plan to be unemployed through at least September.

I've got a few projects scoped out for my lil sabbatical, but I'm also mulling a strong pivot into whatever lane is carved out thanks to ChatGPT/large language models. IMO the writing's on the wall that it might be the biggest disruptor this side of touchscreen phones & personal computers, so I want to get in on the ground floor for some job security. The problem is, I don’t know where/how to get in where I fit in. @Secure Da Bag you seem like the person most in-tuned w/ the space so interested in what you have to say, but anyone with any opinion can weigh in.

My current working theory is based on Power BI... Microsoft made a bet on Business Intelligence going mainstream so they put a quarter billion into Power BI in 2020 and bundled it with their O365 product. Fast forward to 2022 and Power BI is a sought-after skill set in the job market... Now, with OpenAI, Microsoft are making a $10 billion bet, so I think that they are suggesting that the technology will permeate much of the needs of future employers. I like the scenario this reddit comment spun up as an example

My question is what are the skills required to meet employer needs when chatbots/AI become more mainstream in 1-2 years?

For example, let's say companies are all training chatbots using pre-existing customer-interaction data via messages/emails/phone calls. What skills would I likely need to assist in that process? Azure OpenAI seems like the tool that will be pushed to companies, so should I jump into Azure in general, should I get some ML Certs from Microsoft, should I take some ML courses on Udemy, should I do all of the above, or am I barking up the wrong tree completely?

Open to any advice!
Definitely data engineering as mentioned above. All of this works on data, there will always be a need for new and updated pipelines and at a bare minimum data standardization to feed it shyt in a format it can understand. Read up on reinforcement learning / machine learning in general.

Not exactly answering your question but man pivoting into law (without lawschool :pachaha:) as a consultant or something would be excellent. Laws lag behind technology but there is going to be A LOT of liability with AI. I don't expect lawyers to learn about the nuances either. :jbhmm:
 

Macallik86

Superstar
Supporter
Joined
Dec 4, 2016
Messages
5,202
Reputation
1,150
Daps
16,219
Appreciate the feedback fellas. Didn't even think about how the ETL will always be there regardless of the data. I played around w/ the idea years ago but really like analyzing data. I'm learning the basics of pure ML now and will keep Data Engineering in my back pocket for sure.
 
Top