Artificial Intelligence
Artificial intelligence (AI) refers to the capability of a machine, such as a computer, to perform tasks that typically require human intelligence. This includes activities like learning, reasoning, problem-solving, perception, and language understanding.
Benchmarking
Benchmarking is a systematic process of measuring and comparing the performance, efficiency, or quality of products, services, or processes against recognized standards or competitors. This practice helps organizations identify areas for improvement, set realistic goals, and enhance their overall performance.
Cognitive Computing
Cognitive computing refers to the development of computer systems modeled after human cognitive processes. These systems use artificial intelligence (AI) and machine learning algorithms to simulate human thought processes, such as understanding natural language, recognizing patterns, solving problems, and making decisions. Cognitive computing systems aim to augment human capabilities by providing insights and recommendations based on data analysis.
Data Wrangling
Data wrangling, also known as data munging, involves cleaning, transforming, and organizing raw data into a structured format suitable for analysis. This essential step ensures data accuracy and consistency, making it ready for meaningful insights.
Edge AI
Edge AI refers to the deployment and execution of artificial intelligence (AI) algorithms and models directly on edge devices or near the data source rather than relying on centralized cloud computing facilities. This means processing data locally on or near edge devices such as sensors, smartphones, IoT devices, or edge servers.