Differentiating AI, ML, and Automation
"Differentiating AI, ML, and Automation is the ability to distinguish between Artificial Intelligence, Machine Learning, and automation technologies. This knowledge underpins effective strategic technology decision making. It involves understanding the varying applications, strengths and limitations of AI, ML and automation and the implications for the broader business environment."
Foundational
At a foundational level you are able to identify the basic differences between AI, machine learning, and automation. You can recognize simple, everyday examples of each, helping you speak about these technologies with accuracy. This allows you to participate in conversations about AI in your workplace with greater confidence.
Developing
At a developing level you are able to tell the basic differences between AI, machine learning, and automation when discussed or seen in workplace examples. You can recognize why each might be used for different business purposes, though you may need support to explain their strengths and limits. This helps you start spotting where each fits into your team’s work.
Proficient
At a proficient level you are able to clearly explain the differences and relationships between AI, machine learning, and automation, using workplace examples to demonstrate each. You recognize where each is most suitable and can advise teams on which to use for practical business challenges. This helps your organization make informed technology choices and keeps projects aligned with business needs.
Advanced
At an advanced level you are able to clearly explain the differences between AI, machine learning, and automation, tailoring your explanations to the needs of diverse teams. You recognize where each technology brings the most value and anticipate how their adoption may affect business processes. Your insight helps guide others in making informed, forward-thinking decisions about technology use.
Expert
At an expert level you are able to clearly explain the subtle differences and relationships between AI, machine learning, and automation, even in fast-evolving business environments. You use this deep expertise to guide strategic decisions and anticipate trends. Your insights help your organization invest wisely and build future-ready capabilities with confidence.
