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.
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 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.
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.
Text analytics retrieves key words, category etc. from the millions of text data. It uncovers the patterns, topics of interest and based on those we can take further actions. For business purposes, we gather emails, online reviews, tweets, call centre agent notes, survey results and other types of written feedback from customers. This recorded information can easily be turned into text which holds lot of business insights.
Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and to assess and improve the effectiveness of a website. Our team of Web Analysts provide information on the number of visitors to a website, the number of page views, logical flow of web pages in a website etc. which helps in determining the traffic and popularity trends.
Some undetected patterns, trends in data can be exposed and recognized easier. It’s the first step for deeper data analyticsand implementation of visualization that gives BI dashboards a boost. Nowadays visualization applicable in science, education, engineering (e.g., product visualization), medicine, etc.