Insights

When developing your organization’s data monetization strategies, the first ideas that come to mind are probably not the best. For example, you might assume that all you need to do before you can start selling your customer data to external organizations is to obfuscate or remove a few sensitive fields – think again. Doing only that could potentially risk your organization’s very existence. The best data monetization...
Understanding various information and putting them into perfect arrangements and creating applications for converting them into newer, dependable big data, all comes under a technology called data science. And currently, there is a high demand to secure people to fill data scientist roles. While programming is a must-have skill for candidates, there are certain additional skills and understandings required of both the potential employee and...
Data is all-powerful. Data is all-encompassing. Data is all… too intimidating to use? This seems to be the case at many organizations, including those deploying people analytics solutions to address recruitment, onboarding, training and other HR and talent management needs. More than three quarters of companies are investing or are planning to invest in big data initiatives, according to Gartner. However, 72 percent of organizations...
I have to admit, I am kind of a history buff. For example, I was just reading that a new North American Viking site was discovered from – of all places – space. Pretty amazing! From a historical perspective, as the Vikings moved southward, they were looking for better places to grow crops and create settlements. However, the further south they went, the more indigenous populations they encountered. The Vikings had many competitive...
A growing population across the globe is creating a mounting challenge for food producers. By the year 2050, the Food and Agriculture Organization of the United Nations (FAO) predicts the global population will be 9.6 billion people – requiring a gigantic 70 percent increase in food production. Growers are also facing escalating pressure due to environmental constraints, including the limited availability of suitable land, the scarcity...
Data lakes refer to massive storage of any structured and unstructured data at a big data scale. Data from various streams flow into the data lake and are available to cross-functional data scientists to examine and interpret patterns for predictive analytics and machine learning. On the surface, the idea sounds fantastic and full of possibilities. Many enterprises jumped on the bandwagon and created Hadoop-based repositories and started...
The introduction of artificial intelligence (AI) into the manufacturing value chain is significantly changing the nature of that sector's workforce, according to new research from the MAPI Foundation. But rather than robots taking human jobs, new hybrid roles are emerging where humans enable machines and AI augments human capabilities. Robert Atkinson and Stephen Ezell of the Information Technology and Innovation Foundation (ITIF), and...
(This is Part 3 of a Sports Analytics series. Read Part 1 and Part 2 .) "Save a boyfriend for a rainy day  –   and another, in case it doesn’t rain." — Mae West A rain delay must last at least 30 minutes before the umpire cancels a Major League Baseball game. But it hasn’t been the weather that has been causing low turnout for Major League Baseball. Major League Baseball has been fighting dwindling...
More than two decades after the term "big data" was invented, a majority of companies still do not have initiatives in place to create an analytics-driven culture, according to a new Deloitte survey, " Analytics and AI-Driven Enterprises Thrive in the Age of With™: The Culture Catalyst. " At the same time, the use of artificial intelligence (AI) and other advanced data-driven digital technologies are growing rapidly, as humans and...
As healthcare providers transition from fee-for-service to value-based care models and continue to look for ways to be more efficient in their day-to-day business, they are discovering new and innovative analytic models to identify high-risk patients, deploy evidence-based medicine and reduce adverse effects and infections. Therefore, they have to assemble information generated across the overall health and administrative systems, including...
Have you ever noticed that organizations are increasingly using the terms “big data,” “analytics” and (to a somewhat lesser but still notable degree) “business intelligence” (BI) interchangeably? But they aren’t quite the same thing. Here’s how respected, authoritative sources define the three: Big data is a… “high-volume, high-velocity and/or high-variety information...
Interest in blockchain continues to be high, but there is still a significant gap between the hype and market reality. Only 11% of CIOs indicated they have deployed or are in short-term planning with blockchain, according to the Gartner, Inc. 2019 CIO Agenda Survey of more than 3,000 CIOs. This may be because the majority of projects fail to get beyond the initial experimentation phase. “Blockchain is currently sliding down toward...