2018 will be at its halfway point before you know it, but a lot of networks service in Miami and other IT companies are still living in 2017, much to their detriment. In tech more than any other industry, staying current with advances is essential to success. In order to make sure that you fall into that category, here are some ongoing trends for this year in IT that you may want to incorporate or at least account for.
Cybersecurity changes: Along with conventional IT support in Miami, many companies, especially major ones, have been investing in cybersecurity. One only needs to look at the wide amount of high-profile hacks over the last few years and what it’s done to the victim companies to see why this is a worthy investment. 2018 is the year where we’re expected to see a lot of these investments bear fruit, with cybersecurity measures becoming more fully embedded into platforms rather than being an add-on. Don’t be surprised to see more predictive and cognitive analytics to help companies get more data to enhance their security measures as well.
More hires: If you’re on the job market or looking to move up in the world, now may be the time for IT consulting in Miami. Stats show that In fact, close to half of companies (44%) expect budgets to increase while 43% anticipate no change at all. Overall, expect a 19% rise in IT budgets on average. This is good news, as it suggests that the advent of new tech means that more hands will be needed to use it. Notably, it’s mostly going to be the largest companies that are doing this, with more than 60% of companies with 500+ employees expecting to increase IT staff. 70% of large enterprises (companies over 5000 employees) report they’ll hire more IT staff in 2018 as well. If you’re curious, it looks like managed IT services are going to where the bulk of these new hires in Miami will go.
AI: Chances are that this isn’t the first time you’ve heard AI mentioned, even if you are an IT vet. The reason why it is so important now is that this is the first time that technology has gotten close enough what we need in order for AI to start delivering on the promise that it has. The major thing behind that is a surge of data and data analytics technology. We can’t use AI without data for the machines to learn from, and this is coming from both professionals and end users. The cost of computing, another roadblock, has also gone down dramatically.
Addressing legacy systems: Right now, legacy systems take up over 70 percent of available resources. Part of the issues are financial, the other is stubbornness. Even if moving to new architecture and systems is out of the question for the time being, it’s never too early to start giving some thought about how exactly you are going to switch over. The longer you wait, the more you are handicapping yourself.