Cornell University is a privately endowed research university founded in 1865. Ranked in the top one percent of universities in the world, Cornell is made up of 14 colleges and schools serving roughly 22,000 students. Jeff Christen, data warehousing manager at Cornell University and adjunct faculty in Information Science, and Chris Stewart, VP and general […]
Building Machine Learning Program Success
Kristen Serafin, associate director at Financial Industry Regulatory Authority (FINRA) and Lizzie Westin, lead systems analyst at FINRA, speaking at DATAVERSITY® Enterprise Analytics Online Conference, shared how they were able to gain traction for a successful machine learning program. The presentation was titled Ushering in the Age of Machine Learning. FINRA is a private, not-for-profit […]
Case Study: Polaris Puts Data Analysis in the Service of Defeating Human Trafficking
Human trafficking is believed to be the third-largest criminal activity in the world, according to the FBI. The Department of Homeland Security advises that industries around the world including agriculture, hospitality, restaurant, and domestic work, as well as prostitution, often take advantage of modern slavery. Those pulled into this underworld are often held in isolation […]
Streaming Analytics: The Value is in the Action
“When we’re talking about streaming analytics, we’re talking about flipping our traditional paradigm a little bit and thinking about how we bring analytics to our data, and not necessarily data to our analytics,” said Kimberly Nevala, the Director of Business Strategies for SAS Best Practices, while discussing streaming analytics during the DATAVERSITY® Enterprise Analytics Online […]
So You Want to Be a Data Protection Officer?
The role of Data Protection Officer (DPO) is a security position and is a requirement per the General Data Protection Regulation (GDPR) and Brazil’s Lei Geral de Proteção de Dados (LGPD). It is reasonable to expect the United States will develop its own version of the GDPR within the next few years. Many enterprises doing […]
Automation and AI: Challenges and Opportunities
Businesses across the globe are fascinated with the idea of AI and automation because this advanced technology promises operational efficiency, enhanced processes, and substantial cost savings. However, AI and its allied technologies have also created uncertainties, confusion, and doubts about the human capability for adopting, deploying, and executing these magical systems in actual business situations […]
Deep Learning Updates: Machine Learning, Deep Reinforcement Learning, and Limitations
In recent years, some astonishing technological breakthroughs in the field artificial intelligence (AI) and its sub-field deep learning have begun to train machines to behave like humans. As machines are increasingly emulating complex cognitive functions such as deductive reasoning, inferences, and informed decision-making, robots functioning as humans are a reality in many industry practices today. […]
Enterprise Data Literacy: Understanding Data Management
To truly understand data-as-an-asset requires Enterprise Data Literacy, an organizational capability to take, analyze, and use data to remain secure and competitive. But achieving a high Enterprise Data Literacy can remain daunting when business and IT interact together. All too often in the middle of a project sprint, IT gets stuck on a minor problem, […]
Unify Data Governance with Data Architecture
Think of an organization trying to create a single understanding of the information of the organization and the instances of that data around its estate. Consider different groups of people contributing to and using this model from different perspectives and varying reasons. And view this in the context of Data Governance, Data Architecture or Business […]
Fundamentals of Machine Learning Enabled Analytics
The famous theoretical physicist Stephen Hawking said, “It’s tempting to dismiss the notion of highly intelligent machines as mere science fiction.” Artificial intelligence (AI), the game-changer technology of the global business world, comprises three distinct sub-disciplines: machine learning (ML), natural language processing (NLP), and cognitive computing. Automated solutions in business analytics use all these sub-technologies, […]