It’s no secret that data science jobs are hot, specifically in the area of Artificial Intelligence (AI). The big players like Amazon, Google, Facebook and Airbnb are driving this charge, as well as the fast-paced new kids on the block that experience exponential growth in just a few years.
Artificial Intelligence – What exactly is it?
When 600 executives were surveyed by IFS 90% of them voiced plans to implement Artificial Intelligence into their operations. While the term is often used to describe automation, A.I. centers on machine learning, the ability for a machine or program to independently perform data-driven analysis and the related corresponding actions that a human’s logic, or intelligence, is typically relied upon to do. There is not a single industry out there that won’t be impacted by A.I. over time. And it’s happening now.
Careers in A.I
The broad range of industries that stand to benefit from A.I. equates to a broad range of opportunities for candidates seeking to enter this field. From descriptive data analytics roles to predictive and prescriptive analytics.
We always say everyone can have a career in the data world, but many companies are currently spending a lot of time looking at people in roles where IT is creating solutions centered around their business processes, a focus on automation, and making data both accessible. Not every company will have a role that screams A.I., but there are some roles tied to automation and data analytics that will be relied on heavily to lead the charge on that front. This includes Business Process Managers, Business Solution Architects, Data Analysts, BI Developers and Database Developers, Cloud Architects, DevOps, Software Engineers, Data Scientists and more.
The list of potential roles could go on and on (ex. Application Support Specialist, Systems Engineer, Business Analyst, Project Manager, etc.), but if you’re looking for a trend, it is this: holistic, collaborative, solutions-oriented, data-driven professionals will do well.
Continuous Learning
One of the most important contributors to success for the new A.I. workforce will be a near fanatical obsession with continuous learning. The field is changing rapidly and shows no signs of slowing down. It’s an exciting space to watch.
