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2017 IT Data Trends and What They Mean to You

How Data Solutions Are Changing in 2017

 

Like every year, 2017 is bringing a whirlwind of changes to the software industry. When it comes to listing the biggest 2017 IT data trends, the same categories seem to make an appearance year after year. While it’s true that artificial intelligence and the Internet of Things are still major unknowns within the software industry, advances in these new technologies are being used in surprising ways. Find out what changes this year has in store for IT professionals everywhere.

 

IoT and Data Security

 

With one major hack after another, the IT community is slowly wising up to the limitations of the Internet of Things or IoT. Smart objects and household appliances that are connected to the Internet are becoming catnip for hackers all over the world. Data security professionals have been largely focused on securing users’ hard drives, smartphones and computers, effectively overlooking IoT as a pivotal part of cyber security. Companies are starting to rethink their approach to IoT in hopes of avoiding another major breach.

 

The Rise of Package Managers

 

Package managers are quickly becoming all the rage in the software industry. Powerful development tools such as Yarn let programmers alter and update pieces of code without confusing the entire network. Before package managers were introduced, developers ran the risk of updating a set of code on one end of a module without updating the entire system. This led to system meltdowns, contradictory information, and a massive lapse in resources.

 

AI and the Changing UX Landscape

 

Artificial intelligence has been on the rise for years, but only now is it coming to real fruition. Companies and developers now have faster, cheaper access to the tools used for developing AI. This means that we’re on the precipice of an AI revolution. We’re not talking about a robot uprising, but rather an increasing focus on implementing AI into the software and IT community. Some companies like Wikipedia and Google are using AI to more efficiently monitor their networks and user activity. However, AI is also making its way into the world of UX. New apps and user-friendly programs are using AI to give consumers a more personalized user experience. From creating a website to shopping recommendations, AI can learn about a user’s preferences over time and use that information to make decisions on the user’s behalf.