AI analytics
AI analytics uses Artificial Intelligence (AI) tools like machine learning and natural language understanding to identify trends, provide insights and predict outcomes. AI analytics is a way to automate data analysis tasks and avoid long lead times and inaccuracies.
Organizations use AI analytics to organize structured and unstructured data from various sources. Dashboards can be created to help inform decision-making in real time or during long-term projects. You can also apply AI analytics to various business tools and products — increasing the value of big data sets by improving how they can be analyzed.
Common AI analytics use cases include:
- Vision and optical character recognition to help manage the images your business collects.
- Speech and natural language processing to convert text to speech, recognize speakers and evaluate sentiment.
- Classification and clustering to create visualizations that help inform decisions.
- Assess scenarios by applying modeling to find the best course of action.
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