What is one of the first steps to getting started with AI?

Identifying what to predict is crucial as it sets the foundation for any AI project. It involves determining the specific problem or opportunity you want the AI to address. This clarity is essential because it guides the selection of data, tools, and methodologies required to develop an effective AI solution. By narrowing down the focus to what predictions or outputs the AI should generate, teams can align their efforts towards measurable goals, ensuring that the project delivers value in a targeted area. Establishing this predictive goal helps in evaluating the required datasets and the relevant machine learning models that will be necessary for implementation, creating a clear pathway for subsequent phases of the AI project.

While options such as gathering opinions from stakeholders and creating a budget are important aspects of project planning and resource allocation, they come after the initial decision of what predictions are needed. Understanding the core predictive element is fundamental before considering the technical and financial aspects of implementing an AI solution. A user-friendly interface may enhance user interaction but does not address the foundational decision-making required to kick off an AI initiative.