Healthcare/Life Sciences

Transportation/Aerospace

Energy

AI in Privacy and Security

  • According to Security Magazine, there’s a crisis within cybersecurity. With cyber attacks occurring so often, they’ve become a challenge for the average human to detect and manage. Additionally, there’s a shortage of those who have the skills to do so. To combat this issue, AI is utilized to save costs while completing routine tasks, detecting threats, and quickly responding to them. Specifically, AI has had a major impact within the industrial scene now that machines are hyper-connected to the Industrial Internet of Things (IIoT). These machines constantly generate a wealth of diverse data that require heavy analysis. This, in turn, requires advanced cybersecurity, to help protect these systems from being breached and attacked. To ensure that these systems run smoothly, positions for security engineers, information security analysts, and AI security/perception leads are of high importance to this domain.

AI Industry & Careers Forecast

The landscape of AI will continue to grow and develop for years to come but the fundamental question is: how can we improve the technology? Though AI has made various advances within the last 7 decades, the vision for the technology still remains open.

According to Grand View Research, it is estimated that the global market of AI will increase in value by 38.1% within the next decade. Various tech giants such as Amazon, Google, Microsoft, Apple, and Facebook have utilized AI technology to improve their customer’s user experience. Additionally, since such companies have invested largely into the research of the technology, the market for careers within this field are expected to expand.

The US Bureau of Labor Statistics has forecasted that jobs within the field of computer and information science are expected to increase 21% by 2031 in the United States alone. This statistic includes AI specialists, which will make up a part of the 3,300 positions that are projected to open each year. This is due to companies utilizing AI tools to better cater to their customer’s needs. There may be misconceptions of how the technology is impacting businesses, however, specialists who can create algorithms or interpret the large sets of data that make AI possible will be of high demand and are as follows.

Data Scientists

The field of data science intertwines domain expertise, programming, and statistics to develop insights from data. The work of a data scientist includes handling and processing this data in addition to translating the information reviewed and extracting meaningful insights.

Machine Learning Engineer

Design and produce AI systems that automate predictive models. Engineers within this field develop the algorithms that learn and create predictions. Though similar to data scientists, since they too handle large sets of data, machine learning engineers focus on creating predictive models while the data scientists interpret the data.

AI & Machine Learning Architect

In this position, engineers use research to create machine learning models in order to develop solutions for clients. They create end-to-end machine learning and AI pipelines, building full-scale architecture.

Business Intelligence Developer

Recognize trends by analyzing data sets and sharing the information with decision-makers. Professionals within this field organize data points and serve as a liaison between upper management and IT departments. While working between both teams, the BI developer can determine what a corporation’s needs are.

Ethics in AI

AI Related Research & Insights

AI has the power to change our lives continuously over time. Stay up to date with the technology’s progress by accessing our Tech News blog, which is updated daily with the latest insights, trends, and research related to all things computing.