Adam Sinicki reports that the IoT era is right around the corner. Technologists can get into position early, (now) by heeding his practical measures into how to get into the IoT space.
By Adam Sinicki
The nature of work is about to change as Internet of Things (IoT) companies create countless new jobs in IoT security and data science.
The global IoT market will be worth $14.2 trillion in 2030.
As IoT grows, it is going to have a huge impact on the job market. As a techie, you stand to benefit from this huge paradigm shift. However, you’ll need to expand your skill set to incorporate Internet of Things security and related technologies.
The scale of these data collection efforts is at once staggering and frightening. Companies track us across the internet using cookies, usernames, and even our social interactions and then take all that information to construct a comprehensive picture of who we They can infer demographic information, hobbies and interests, personality, job role, size of social network, financial situation, aspirations, and even when we’re most likely to be home!
The internet of everything has the potential to take this much further by collecting more data about us than ever before.
The Internet of Things is a term that is broadly used to describe a future where everything is connected to the internet. That means not only your computer and smartphone, but also your fridge, your television, your front door, and your boiler. We’re already seeing this start to happen with smart locks, smart televisions, home assistants, and more.
Working for any of these Internet of Things companies or other upcoming startups is a savvy strategy if you want to future-proof your resume with useful experience. General programming skills will help you to land these kinds of jobs. C, Java, and Python are particularly prominent in this space. You should also familiarize yourself with PIC programming and microcontrollers such as the Arduino platform. This is what what lets you add simple logic and code to an otherwise “dumb” product.
Data science jobs are going to be in increasingly massive demand for these companies. Collecting all that data from users is only useful if businesses know what to do with it, and how to infer actionable advice from it. How do you turn billions of purchases across millions of users in multiple different countries into a better marketing campaign? That’s where data science comes in.
Similarly, machine learning and AI jobs are likely to be big business in the near future (AI and IoT go hand-in-hand). More job opportunities might also arise from the concept of “digital twin tech.” This sees a real-world appliance, installation, or product with a digital “twin” – a 3D model that reflects the real-time data from the actual physical object. The twin also allows for remote control and manipulation. 3D modeling is a skill that can serve you well in this capacity, as well as in product design.