Artificial intelligence (AI) and machine learning (ML) were mostly concepts and buzzwords for quite some time. Still, increasingly, companies are leveraging AI and ML to create actual processes and adding learning algorithms into anything from mobile apps to human resources functions.
What Jobs Work with Artificial Intelligence and Machine Learning?
AI and ML capabilities quickly become essential core competencies for technologists to complete various tasks. For instance, AI systems were instrumental in developing the COVID-19 vaccines. According to reports, a business that partnered with Johnson & Johnson to develop its vaccine collaborated with AI researchers at MIT.
As this technology becomes more adopted, career possibilities are increasing. Even though the technology is becoming more advanced, the commercial focus is adoption and scale. For example, AI and ML are increasingly being marketed as elements in SaaS portfolios.
Over this decade, AI will more frequently complement and improve existing capabilities. As a result, IT professionals will be hired for their capability to apply AI and ML technology. This demand for talent can already be seen everywhere AI is visible, including in robotics and manufacturing.
By the decade’s end, AI will have permeated every job, from the boardroom to the production floor. For white-collar workers, AI will more frequently help with day-to-day strategic actions, including demand forecasting and planning. This use of AI is quite different from utilizing it for transactional decisions, such as lending and financial functions. As AI and ML solutions mature, there will be a shift to strategic, influential decision-making.
The biggest driver of AI and ML adoption will likely be mobile apps that use off-the-shelf learning models. Offering flexibility and customization, pre-trained models let developers create desired outputs by adjusting a few neural network levels or adjusting activation functions. As more off-the-shelf models help developers integrate AI and ML into apps, more solutions will be created by developers of all skill levels.
As AI and ML technologies become more integrated into everyday business, the need for executives to oversee the technology will increase. “AI executives” must be able to understand how cognitive technologies impact the business and develop the company’s AI strategy. They must also be able to explain the technology to stakeholders, including non-technical executives, employees, and customers.
AI architects are responsible for creating the systems to operate and manage AI and ML projects. IT architects who acquire AI and ML skills are good candidates for these jobs.
Given that AI technology is powerful, there will be a demand to wield that power responsibly. AI ethics officers focus on understanding everyone impacted by technology, their needs, context, and values. Companies that pay attention to ethics when deploying AI create safer, more just environments. Moreover, unbiased AI is more accurate and leads to better business performance.
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