About watsonx.ai:
- It is an Artificial Intelligence tool jointly built by IBM and NASA.
- It will help users monitor the Earth from space, measuring environmental changes that have already happened while also making predictions about the future.
- The model is also designed to be extremely simple to use. A user would merely need to select a location and a date, and the model will highlight changes in floodwater, reforestation efforts and other relevant factors.
How does watsonx.ai work?
- It is built on a foundation model — it’s trained on a broad set of uncategorised data allowing the model to apply information about one situation to another.
- In the case of watsonx.ai, NASA provides the datasets (in terms of satellite images instead of words,) and IBM created the foundation model to interpret them.
- In order to train the model to comprehend visual sequences that unfold over time, scientists filled in blank areas in each image and asked the model to piece it back together.
- It became increasingly adept at figuring out how the photos connected to one another as it reassembled additional images.
- The model was then adjusted for certain tasks like segmenting and categorising photos.
What is watsonx.data?
- It is a fit-for-purpose data store optimised for governed data and AI workloads. It is designed to enable enterprises to scale AI workloads by harnessing their entire data landscape.
What is watsonx.governance?
- It is an end-to-end toolkit encompassing both data and AI governance. It helps clients create responsible, transparent and explainable AI workflows by providing AI governance capabilities like model management throughout the AI lifecycle.
