Data Science
Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
Machine Learing
Machine learning is a subfield of artificial intelligence. The goal of machine learning generally is to understand the structure of data and fit models that can be understood and utilized by people. Machine learning algorithms instead allow computers to train on data inputs and use statistical analysis in order to predict output values that fall within a specific range.
Big Data
QubeRoot provides consulting services in the area of big data management. We help organizations to understand their big data potential and implement a data lake architecture for both data at rest and data in motion. We have capability to ingest, analyze, governance and visualize any kind and volume of data.
Cloud Computing
Cloud computing depend on distribution of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. QubeRoot takes superiority as a pioneer player with expertise in IBM Bluemix, Amazon Web Services, Google Cloud and Microsoft Azure.
Artifical Intelligence
Artificial intelligence (AI) is a sunshade term for “smart” technologies that are aware of and can learn from their environments, enabling them to consequently take autonomous actions. QubeRoot helps clients find and capture hidden value from data through a unique blend of advanced Artificial intelligence techniques.
