Artificial intelligence (AI) and machine learning (ML) are related but distinct technologies that support data-driven business processes and deliver significant competitive advantages.
AI comprises computer networks that mimic human thought and reasoning. Common uses include automating repetitive tasks in customer service (chatbots and virtual assistants, for instance), marketing (customer segmentation) and supply chain management (inventory control).
ML is a subdomain of AI. Other subsets of AI include natural language processing, speech recognition and autonomous systems. While each has its own focus, all use algorithms and data science models to identify trends, patterns and anomalies in vast data sets to support predictive analytics.
“Both disciplines offer promising career opportunities, with AI and machine learning jobs poised for rapid growth,” according to Simplilearn.
The Bachelor of Science in Digital Technology & Design with a Concentration in Artificial Intelligence & Machine Learning program offered online by Arkansas State University (A-State) equips graduates to meet the demand for AI and ML specialists.
Why Is Demand Growing for AI and Machine Learning Professionals?
Rapid, ongoing advances in technology and computer and data science are breaking down barriers to AI and ML adoption, enabling businesses of all sizes to accelerate their decision-making processes, automate tasks to gain efficiencies and enrich the customer experience.
The technologies accelerate companies’ shift to cloud operations to optimize resource allocations, increase cybersecurity, scale operations on-demand and support global accessibility to digital information.
“AI is changing the way every industry conducts mission-critical operations,” according to Spiceworks. This ongoing adoption of AI and ML drives enormous demand for data- and technology-centric experts. Employers predict the number of positions in data science across all career levels, for instance, will increase by 35% through 2032, with median annual pay topping $103,000.
What Are Skills and Qualifications for Careers in AI and Machine Learning?
A-State’s online B.S. in Digital Technology & Design – Artificial Intelligence & Machine Learning program prepares graduates for successful career advancement or entry into the job market in roles such as:
- Data scientist. The primary role of data scientists involves cleaning, examining and visualizing data to understand its structure, patterns and characteristics to provide crucial insights for developing predictive models. They typically participate in team settings, which requires superior critical thinking skills and the ability to document work and contribute coding proficiency. The average salary for early-career data scientists is $88,332.
- ML/AI associate. This broad functional title includes, among other things, developing new ML algorithms, analyzing datasets and designing, building and evaluating ML models. ML/AI associates typically gain valuable hands-on experience in various advanced technologies that are continuously advancing in sophistication and predictive power. The median salary for ML/AI associates is $89,736.
- Data analyst. Early career analysts typically perform tasks that involve collecting data sets relevant to a given project, cleaning them, identifying patterns and trends and reporting findings that support vital business insights. They work with a larger team and other stakeholders, such as project managers and data engineers. The average salary for junior data analysts is $62,377.
- AI developer. Entry-level responsibilities include developing code and architecture for computer systems that use data to mimic human intelligence. Depending on project goals, developers can work on any of the subsets of AI, including ML, natural language processing, image processing and deep learning. Annual entry-level compensation is $91,982.
- ML implementation specialist. ML engineers at all career levels collaborate with data scientists, software engineers and database architects, primarily tasked with collecting datasets to train ML algorithms. The algorithms use supervised and unsupervised ML technology to support predictive capabilities. The range of early career salaries begins at $129,6900 and tops $179,000.
Because ML/AI projects require teams of highly proficient, experienced data scientists, analysts,
developers and engineers, “there simply aren’t enough skilled professionals available, even with
the recent contraction across the technology industry,” McKinsey & Company notes.
Why Consider the A-State Online Artificial Intelligence & Machine Learning Program?
A-State’s online B.S. in Digital Technology & Design – Artificial Intelligence & Machine Learning program curriculum prepares graduates for high-demand, lucrative roles in advanced technologies by deepening their insights into computational intelligence and enhancing their ability to devise innovative solutions to business challenges.
The program emphasizes the analysis and design of AI and develops proficiency in Cloud deployment processes such as handling multiple data elements concurrently and database interactivity.