AIMMO focuses on addressing the data challenges companies need to introduce AI. Autonomous driving, smart city, robotics, video surveillance, drones, safety detection at construction sites, various language translation and security data in defense sectors are optimized for easy management of unstructured data such as images, audio, and text.
With its transformative supply and licensing models, AIMMO is leading the global enablement of new smart applications to realize automation efficiency in a wide range of fields from autonomous vehicles to smart cities, industry 4.0, robotics, and security services.
The velocity of the data generation is accelerated, and the value associated with it diminishes with time.
If not processed in real-time, businesses face lost opportunities with financial implications and sometimes, especially in industrial IoT scenarios, can result in fatal situations.
In its business sense, data curation is a critical component of an enterprise data strategy because it helps ensure the organization can use its data well and comply with data-related regulatory and security requirements.
Data labeling refers to adding tags or labels to raw data such as images, videos, text, and audio. These tags form a representation of objects to which the data belongs and helps a machine learning model learn to identify that particular class of objects when encountered in data without a tag.
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