How does cognitive computing work?
Cognitive computing works through a combination of technologies and processes that aim to simulate human-like intelligence and decision-making.
Collection: The initial step in cognitive computing involves the gathering of extensive datasets from various sources, encompassing both structured and unstructured data like text, images, videos, and sensor readings.
Ingestion: Following this, the acquired data undergoes ingestion into the cognitive computing system, wherein it is systematically organized, categorized, and stored in a format conducive to effective analysis.
NLP: A pivotal aspect of this process is Natural Language Processing (NLP), a fundamental component enabling the system to comprehend and interpret human language, encompassing both written and spoken communication. NLP algorithms are employed to process textual data, extracting meaning and identifying relationships between words and concepts.
Subsequently, cognitive computing heavily relies on Machine Learning Algorithms to scrutinize and glean insights from the ingested data. Two primary types of machine learning are employed in this context:
- Supervised Learning, where the system is trained on labeled data associating inputs with known outputs.
- Unsupervised Learning, where the system identifies patterns and relationships within the data without predefined labels.
Analysis: This machine learning capability is instrumental in facilitating pattern recognition within the cognitive system.
Predictions: Through the analysis of patterns, correlations, and trends within the data, the system gains a comprehensive understanding of complex relationships, enabling it to make accurate predictions.
This iterative process underscores the dynamic and evolving nature of cognitive computing, where continuous learning and adaptation are integral to enhancing system capabilities over time.
Cognitive Computing
Cognitive computing, a branch of AI, replicates human-like cognitive functions. In this tutorial, let’s explore working, and real-world applications, of cognitive computing showcasing its potential, and addressing ethical considerations.