Big Data with Advanced Analytics is now being used extensively to find patterns and trends, and to predict the results of certain activities, such as movements in the stock market through advanced processing techniques packaged together into the term Smart Data – or data with intelligence. Data Analytics, along with Data Science techniques, have become […]
Deep Learning 101: The What, Where, and How
Researchers have tried for decades to create computers capable of learning. Recently, using the human brain as a model, they have had some success. Complicated algorithms have been developed, allowing computers to learn on a limited scale. Deep Learning (DL) is the name used for the process of computers “learning” appropriate responses as they interact […]
Data Governance and Information Governance: Contemporary Solutions
While Data Governance is usually considered a mature discipline, according to Robert Smallwood, the Managing Director at the Institute for Information Governance, during his recent DATAVERSITY® Enterprise Data World 2016 Conference presentation Information Governance (IG) is a more recent development. The Information Governance Initiative was first formed in February of 2014. It was originally made […]
Moving Forward with Big Data: Investments, Challenges, and Predictions
People are using computers, smart phones, and laptops with increasing regularity. As a result, businesses are collecting and storing huge amounts of data, or Big Data. Acquiring insights from all this information is a challenge, but is also key to achieving a competitive advantage. Analytics solutions that find unstructured and structured data can help tremendously […]
Big Data and Cloud Security
Data breaches are disastrous events for enterprises and consumers alike. Sensitive information is stolen or made public. Cloud-based data breaches can be quite devastating because of the sheer volume of data that can be taken or manipulated. Cloud security is especially important in the Big Data age. Cloud-based data is valuable for different reasons. A […]
Machine Learning: From Then Until Now
Machine Learning is a form of Artificial Intelligence (AI) which allows computers to learn by way of observation and experience, rather than rigid pre-programming. Machine Learning uses computer programs that are capable of growth and change as they process new data. Using algorithms, Machine Learning allows computers to develop habitual responses based on the repeated […]
Intelligent Crowdsourcing: A Big Data Solution
IDG (International Data Group) predicts the use of unstructured Big Data will steadily grow at a rate of 62 percent annually. They also predict by the year 2022, 93 percent of all data being processed will be unstructured. The issue of processing unstructured Big Data is currently one of the most challenging problems facing Data […]
Techniques and Algorithms in Data Science for Big Data
In simple terms, Big Data – when combined with Data Science – allow managers to measure and assess significantly more information about the subtleties of their businesses, and to use the information in making more intelligent decisions. In 2011, during the period when the growth of Big Data was really gaining significant notice throughout the […]