As we wrap up 2018 and prepare ourselves for 2019, it’s time to take a moment to review and reflect. And while in review, we take the opportunity to look at the content published, produced, and consumed over the last year. In looking at the top 20 published articles and blogs of the year, Machine […]
Data Science Trends in 2019
When it comes to major Data Science trends to watch in 2019, the co-founder and CEO of Kaggle, Anthony Goldbloom, has predicted that very soon Data Centers will be replaced by departmental or business-specific Data Science teams. As discussed in Data Science Trends in 2018, last year’s major trends continued from 2017 as the growth […]
Make the Most of Graph Databases Through Interactive Analytics
New Big Data systems and advanced technologies are revolutionizing how businesses analyze their data assets and discover new value and insights across their business practices. Barry Zane, Senior Vice President and John Rueter, Vice President of Marketing at Cambridge Semantics, both recently sat down with DATAVERSITY® to discuss how companies are implementing new technologies such […]
The Future of NLP in Data Science
According to many market statistics, data volume is doubling every two years, but in future this time span may get further reduced. The vast portion of this data (about 79 percent) is text data. Natural Language Processing (NLP) is the sub-branch of Data Science that attempts to extract insights from “text.” Thus, NLP is assuming […]
Business Intelligence and Analytics Trends 2019
In 2019, Advanced Analytics capabilities with minimal manual efforts will remain the hallmark of all competitive Business Intelligence solutions. The Business Application Research Center (BARC) 2018 Business Intelligence Survey indicates that the global BI solutions market is slated for major technological changes. The primary technology initiatives that BI users can expect in 2019 are Cloud BI deployments, BI […]
Data Strategy and Machine Learning: How Do They Intersect?
With the tremendous growth of business data in terms of volume, size, and complexity, it is imperative that global enterprises develop a strong Data Strategy to address their core business needs. However, a realistic Data Strategy has to incorporate a clear road map with milestones, so that strategy documents do not end up as digital […]
AI Platforms: The Next Step in Artificial Intelligence
The use of Big Data has continued to grow and mature, with some organizations reaping considerable rewards. The processing of Big Data has recently advanced to a new level of evolution, in the form of AI (Artificial Intelligence) platforms. AI platforms promise significant impact (and disruptions) over the next decade. The use of AI to […]
Contemporary Data Scientists: Working Machine Learning at Scale
In a recent Magic Quadrant for Data Science and Machine Learning Platforms report, it was expressed that the Data Science and Machine Learning platform market will be in a state of flux over the next few years. Among the drivers of change will be providing Data Scientists with the ability to manage models and collaborate […]
Using Predictive Analytics
Can Predictive Analytics combined with lean principles have an impact on today’s strained healthcare system? LeanTaaS believes that they can by significantly improving asset utilization at hospitals and clinics across the country. “The reality is that health systems are facing enormous headwinds regarding growing volumes,” says company founder and CEO Mohan Giridharadas. There is a […]
Data Warehouses and GPUs: Big Data at High Speed
“Three years ago it was tough to tell the market that they should put a Data Warehouse on top of something that runs on top of GPUs,” said Ami Gal, CEO and co-founder of SQream. “Now it’s clear that GPUs are storming A.I., Machine Learning, and data centers,” and GPU technology has become an accepted […]