The North American Bikeshare Association (NABSA) reports that there were 50,000 bike share bicycles in the U.S. as of 2016, an increase of 30,000 bikes since 2012. Those bikes made 28 million trips in 2016, a 25 percent increase over 2015, and as of 2017, more than 130 North American cities had bike share programs. […]
Data Lake vs. Data Swamp: Leveraging Enterprise Data
One organization’s Data Lake may very well be someone else’s Data Swamp. The difference lies in how data is curated. What does this mean? For starters, a Data Lake describes where vast amount of data of various types and structures can be ingested, stored, assessed, and analyzed. Specifically, Data Lakes make it easy for Data […]
The Impact of Data Quality in the Machine Learning Era
A significant issue in Enterprise Data Management today is Data Quality, because business data requires thorough cleansing and preparation to be used as input to any Analytics or Business Intelligence system. In an era of automated and Self-Service Business Analytics, Data Quality has assumed even more importance as average business users do not often have […]
Bringing Data Preparation to Everyone in the Enterprise
“Whether you’re working with Big Data, or whether you’re working with very small data sets, you always need to prepare data for anything that you’re doing with it,” said Paige Schaefer, Product Marketing Manager for Trifacta. Schaefer and colleague Matt Derda, Senior Customer Success Manager, recently talked with DATAVERSITY® about Trifacta’s Data Wrangling technologies. “Data […]
Get Ready to Operationalize Big Data Apps
The Big Data Executive Survey released by NewVantage Partners earlier this year shows that close to three-quarters of the respondents surveyed believe they are getting measurable value from their Big Data and Artificial Intelligence projects, which the survey considers as extensions of Analytics capabilities. That number, NewVantage reports, is half again higher than in the […]
Deep Learning Use Cases
Deep Learning (DL) has become more than just a buzzword in the Artificial Intelligence (AI) community – it is reshaping global business through the prolific use of autonomous, self-teaching systems, which can build models by directly studying images, text, audio, or video data. Such systems can use that data for future pattern recognition. According to […]
Analytics and Machine Learning at Georgia Institute of Technology
A solid Computer Science education at Georgia Tech has been available since 1964, with the start of their Information Science program. By 1970, it had become the School of Information and Computer Science (ICS), offering bachelor’s degrees in information science and doctorates in ICS. The College of Computing continues to maintain a leadership role, expanding […]
Graph Databases Take on New Challenges
The Panama Papers. The Paradise Papers. Human trafficking. Russian social media trolls. Self-driving cars. If you’re wondering what all the above have in common, the answer is: Graph Databases. Their ability to store data connections in the service of gaining a better understanding of relationships across nodes has been recognized for use cases such as […]
Artificial Intelligence Takes on Large-Scale Database Management
Artificial Intelligence (AI) is having a clear impact on databases. Among the major players, Microsoft is applying AI to continuously monitor Azure SQL database workload patterns and apply automatic tuning when it recognizes opportunities to improve the database performance, for example. And Oracle has unveiled the Oracle Autonomous Database Cloud, which uses Machine Learning to […]
The Impact of Data Governance on Self-Service Analytics
An important reason for global enterprises of all sizes to embrace Self-Service Analytics & Business Intelligence (BI) is to allow business users and business units to conduct their daily Analytics work without relying on IT. According to Gartner, by 2019, business users indulging in self-service tools will deliver more Analytics-related output than qualified data professionals. […]