Cognitive Computing Software
Cognitive Computing Software uses artificial intelligence and other advanced technologies to function as the human brain, helping to better decision making. These computing programs help to simulate the human brain and thought process in a software model. Cognitive Computing Software utilize deep learning algorithms, advanced neural networks, data mining, pattern and image recognition, and natural language processing in achieving its objectives. The main goal of Cognitive Computing Software is to develop automated computing systems that are capable of solving problems and making smart decisions without the need for human input or assistance. Cognitive Computing Software require data to develop computerized human models and look for multiple sources of information that contain both structured and unstructured data and sensory inputs. These computing tools then gather the data and compare it to already known data; hence the more data Cognitive Computing Software encounters, the more accurate and the smarter it becomes. Some important features that these Cognitive Computing Software may depict include iterative and stateful, adaptive, contextual and interactive.
PAT Grid™ (Beta) for Cognitive Computing Software
Measures how well the product or service is performing.
Measures how the product or service is rated in comparison to other products.