Big data and machine learning have become buzzwords we hear thrown around a lot, without necessarily understanding the nuances of each concept. While the two fields certainly aren’t mutually exclusive – and in fact intersect in ever more crucial ways – there are some key differences between big data and machine learning that businesses should …
The Difference Between Big Data and Machine Learning Read More »
Signs definitive agreement to make a strategic investment Transaction to strengthen Digital capabilities, complement existing Transformation competencies, and create a powerful offerings combination in the Digital Integration space NEW DELHI, April 6, 2019/PRNewswire/ — NIIT Technologies Limited, a leading global IT solutions organization, today announced that it has signed a definitive agreement with WHISHWORKS IT Consulting, an …
NIIT Technologies to Acquire WHISHWORKS, a MuleSoft® and Big Data Specialist Read More »
As application performance management vendors introduce new capabilities for users moving big data cloud applications to the cloud, their focus often is on establishing baselines that set the stage for efficient data migrations. One APM vendor, Unravel Data, on March 26 unveiled a platform update that supports Amazon AWS, Microsoft Azure and Google public cloud …
Tools manage performance for big data cloud applications Read More »
Across industries, Big Data and Artificial Intelligence (AI) have proven to be powerful tools when it comes to informing companies about their target customers. Gartner predicts that by 2019, more than 50% of organizations will redirect their investments to customer experience innovations. As a result, many organizations have built teams to collect and analyze data …
3 Reasons Why AI and Big Data Will Fuel The Customer Experience in 2019 and Beyond Read More »
By offering a second perspective, data driven machine learning algorithms can offer critical secondary feedback and aid in early detection. For example, researchers in China have begun using a machine learning algorithm that predicts the likelihood of a patient waking from a coma. In several instances, the algorithm correctly predicted that patients would awake when …
Big data and healthcare: Life saving benefits and future challenges Read More »
“Big data” refers to massive data sets that can be analyzed to reveal a pattern or habit of the populations surveyed. It’s especially used as a way to understand human behaviors and has been revolutionary in finding new ways to reach audiences in just about every industry. Now, you can use big data to manage …
Big Data Applications for Every Aspect of Business Management Read More »
An evolving term, Big Data quantifies this unstructured, semi-structured and structured data; a goldmine for information. This is where Big Data solution providers come in handy. They assist businesses in implementing Big Data solutions by providing valuable insights that expand their opportunities. Gartner defines Big Data as high-volume, high-variety data, arriving at high velocity and …
Big Data solutions that provide you with unlimited business insight Read More »
Advantages and challenges abound for investment professionals focusing on big data, large data sets analyzed computationally, and alternative data, data sets obtained from less traditional sources, such as social media, for investment analysis. At the fifth annual TradeTech FX conference, a panel of data scientists and quantitative professionals gave recommendations to investment professionals looking for …
A Big Data Strategy Is Key To Achieve Greater Alpha Read More »
In the last two years, more data has been created than in the rest of human history combined. Thanks to advanced computing power, all this data can be used to help companies serve their customers better and become more efficient. Today, just about every large company in the United States has a data scientist on …
Big Data and the Psychologist’s Role on the Analytical Team Read More »
Avoiding vendor lock-in has become a major concern in the cloud era. If you deploy your infrastructure in one vendor’s public cloud, say Amazon AWS, what will you do if the service fails to meet your standards or if the prices increase? What if the features you need are no longer supported? Sure, there are …
