“How do you create a competitive advantage for business partners by delivering fast access to high quality data, instilling confidence and supporting data driven decision making?” asked Ursula Cottone, Chief Data Officer (CDO) of Citizens Bank. As the keynote speaker at the DATAVERSITY® Enterprise Data Governance Online Conference (EDGO), she tackled this question in her […]
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 Modeling vs. Data Architecture
In the second edition of the Data Management Book of Knowledge (DMBOK 2): “Data Architecture defines the blueprint for managing data assets by aligning with organizational strategy to establish strategic data requirements and designs to meet these requirements.” Another way to look at it, according to Donna Burbank, Managing Director at Global Data Strategy: “Data […]
A Blockchain Model for Data Management and Data Quality Optimization
McKesson, a leading healthcare company for wholesale medical supplies and equipment, pharmaceutical distribution, and healthcare technology, delivers one-third of prescription medicine in North America, supports 15,000 pharmacies and more than 9,000 oncologists and other medical specialists, and offers more than 250,000 SKUs of brand and private label medical-surgical supplies. Striving – and achieving – supply […]
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 […]
Semantic Technologies, AI, and Big Data Working Together
Data Scientists and Big Data Analysts can now access knowledge from around the world by using a new platform, called JoveEye. Its launch was announced by GTCOM (Global Tone Communication Technology Co., Ltd) in New York City. JoveEye is an Artificial Intelligence-powered Big Data research platform that offers quick and efficient data responses, displaying the […]
Cloud Architecture and Cloud Computing Trends in 2019
Cloud Architecture has come a long way. A decade ago, the first “primitive” Cloud services became available. Since then, a variety of organizations, ranging from nonprofits to government agencies to startups, have embraced Cloud technologies. These are some things being done with Cloud Computing: Backing up, storing, and recovering data Developing new apps and services […]
Automated Data Catalogs Allow Rethinking of Data Policies
In Data Catalogs we trust. Or at least that should be the case. In a recent global survey on data-driven decision making in business, close to 60 percent of respondents say their companies base at least half of their regular business decisions on gut feel or experience rather than data and information. Respondents cited problems […]
Analytics vs. Data Discovery
Newer and faster data channels are enveloping the digital business landscape, so business operators and users are becoming more demanding about what they want from their data. Now, the traditional Business Intelligence (BI) platforms are no longer sufficient to address all types of business queries; users are increasingly looking toward the Data Discovery capabilities of […]