Data analysts provide fast descriptive analytics, and data visualization. They build explanatory dashboards and reports to help a business to monitor key performance indicators and to discover new business questions.
Data engineers build the data pipelines by connecting data storages, and applications. They develop platforms that deliver the data with proper quality to those who produce and consume data analysis.
Data scientists are fluent in analytics, statistical inference, and machine learning. They perform rigorous data analysis and manage uncertainty by evaluating the business impact of a solution before it is operationalized.
Software engineers design and create computer systems and applications to achieve a business solution. They write and test code to optimize software for speed and scalability in a real environment.
Machine Learning Engineer
Machine Learning Engineers rapidly assess multiple machine learning systems relatively to a desired business performance. They consider the data inputs proposed by analysts and researchers to code, test and improve the performance of algorithms.
Deep Learning Engineers rapidly assess multiple deep learning systems relatively to a desired business performance. Their typical projects involve neural networks algorithms used in computer vision and natural language processing.
The Responsible AI skill set helps practitioners to understand the design and operationalization of fair reliable artificial intelligence systems. This facilitates the adoption of AI by ensuring it has good intention in its impact on businesses and society.
The AI Fluent skill set gives business-minded professionals the ability to contribute to initiatives related to AI and data. These professionals translate business questions into data analysis, make data-driven decisions, and communicate effectively while working alongside the AI and data teams.
The AI Literate skill set helps any person to acquire the foundational knowledge on the AI and data applications that are useful to improve products and processes. It builds the awareness of how humans can be assisted by data analysis when making fact-based decisions.