Walk around any large organization and hear people groan about finding the right data to do their work. In the typical organization, data sits in multiple places, lost behind technical and functional boundaries. These isolated systems, referred to as “data silos,” have often existed for good purposes and reasons such as helping each business function […]
Handling Complex Data Storage with Blockchain and the Cloud
Blockchain technology, a distributed and secure database system, has been making significant advances since it first started gaining popularity a few years ago. It started out in the cryptocurrency world, but is also finding considerable usage in banking and finance, as well as asset settlement. But, can blockchain also be used for other use cases […]
Get Ready for DataOps
An emerging discipline called DataOps is taking a page out of the DevOps playbook. The latter is all about accelerating the time to software delivery, and the former about accelerating data flow. And just as DevOps replaces the waterfall method of software delivery, DataOps replaces the waterfall approach of delivering data to the data consumer. […]
The State of Data Science: Expertise Shortage Creates a Need for Innovation
The world’s most valuable resource is no longer oil but data. As a result, the skills required to convert data into insights that generate revenues are in high demand. Unfortunately, one of the biggest hurdles companies face when trying to capitalize on their data sets is a lack of data scientists and machine learning practitioners. […]
Deploying AI-Driven Systems
Artificial Intelligence (AI) will continue to transform and disrupt most industries but, to really stay competitive, organizations need to deploy AI-Driven systems quickly. However, as Ramesh Mahalingam, CEO of Vizru, an AI-based autonomous applications company, said this is not an easy feat: “AI adoption has proven quite a challenge. It takes enormous time, cost and […]
Cloud Computing Challenges: Navigating the Multi-Cloud Landscape
Public clouds have become popular as a solution for many data-driven projects around Big Data, Business Intelligence and Analytics, as well as specialized projects, such as Machine Learning and AI. Cloud providers normally offer significant scalability and advantageous, user-friendly tools. Migration to the cloud is considered to be cost-effective, making it an excellent choice for […]
Build a Data-Driven Culture with a Data Catalog
Humans can be very particular about things. Some little kids simply won’t eat spinach. Adolescents might refuse to wear clothing that isn’t imprinted with cool brand logos. And adults may not like the cultural change that accompanies the effort to become a data-driven enterprise. Recent research addresses this in the context of Big Data and […]
IoT Data Management Challenges
Who isn’t thinking about the repercussions of an exploding Internet of Things (IoT) market as smart devices further expand their reach in both the commercial and consumer worlds? John McDonald, CEO of ClearObject, an IoT solution provider, works with companies that are seeking to understand what the technology means to their business, how implementations might […]
Enterprise Data World 2019: Gorillas, Puzzles, Courtrooms, and Hats
“Context: Better understanding something by taking into account the things around it,” said Jeff Jonas during his Wednesday afternoon keynote at the 23rd annual Enterprise Data World (EDW) 2019 Conference (co-presented with DAMA International) from March 17-22, 2019 at the Sheraton Boston Hotel in Boston, MA. Context is the key that allows data professionals, and […]
The State of Data Management: Challenges, Predictions, and Solutions
The level of sophistication around data has increased quite a bit in the 20 years Ron Agresta has been working with SAS. “Back in the day, it would be no governance, minimal quality, and those capabilities were not well managed. Now the whole segment has shifted,” he said, and it’s much rarer to find companies […]