Data is the strongest weapon in any enterprise’s arsenal. With proper Data Management tools, organizations can use data to gain insight into customer patterns, update business processes, and ultimately get ahead of competitors in today’s increasingly digital world. With IDC predicting that there will be 175 zettabytes of data globally by 2025, many solutions have emerged on […]
A Brief History of the Internet of Things
Simply stated, the Internet of Things consists of any device with an on/off switch that is connected to the Internet. The Internet of Things (IoT) involves machines communicating information over the internet, and has not been around for very long. Machines have been providing direct communications since the telegraph (the first landline) was developed in […]
Leading Disruption in 2022: AI, Data Privacy Concerns, and Developer Relations
Disruption has been on an ongoing progressive cycle since the beginning of the digital era – but when the pandemic began in 2020, innovations began to progress at a record pace. In today’s world, mastering data, analytics, and advanced technologies has become a primary driver of business strategy, providing organizations with unlimited possibilities to increase business […]
The Pros and Cons of Synthetic Data
Data has established itself as one of the most important elements in both business and science. With the advent of big data services, companies can get access to previously unattainable advanced analytics, and researchers can find almost any imaginable dataset to draw insights from. However, all this potential is hindered by ever-pressing data privacy regulations. This is why […]
Managing Talent in the Age of AI
Artificial intelligence (AI) is transforming the way we live and work, and the pace of that change is accelerating across every aspect of the business landscape, from operations to the customer experience. As its capabilities expand, investment in AI continues to grow, reaching $67.9 billion in 2020 – a 40% increase from the year prior […]
A Brief History of Cloud Computing
In 1963, DARPA (the Defense Advanced Research Projects Agency) presented MIT with $2 million for Project MAC. The funding included a requirement for MIT to develop technology allowing for a “computer to be used by two or more people, simultaneously.” In this case, one of those gigantic, archaic computers using reels of magnetic tape for […]
Data Warehouse vs. Data Lake Technology: Different Approaches to Managing Data
Solving business problems using big data depends upon the approach taken. For example, if an organization only knows data warehouses, then challenges will be framed to fit using a data warehouse. As Abraham Maslow, a prominent psychologist eloquently said “I suppose it is tempting, if the only tool you have is a hammer, to treat […]
A Brief History of Data Science
The term “Data Science” was created in the early 1960s to describe a new profession that would support the understanding and interpretation of the large amounts of data which was being amassed at the time. (At the time, there was no way of predicting the truly massive amounts of data over the next fifty years.) […]
4 Risks of Storing Large Amounts of Unstructured Data
Click to learn more about author Gary Lyng. In 2013, the big data headline was the incredible statistic that 90% of all data in the history of the entire human race had been created in the previous two years. The amount of structured and unstructured data we’ve created was so mind-boggling that we deemed it […]
Big Data at 10: Did Bigger Mean Better?
Click to learn more about author Mathias Golombek. If this time 10 years ago you were working in data and analytics, something was about to happen that would go on to dominate a large part of your professional life. I’m talking about the emergence of “big data.” I recently read that the origins of the concept […]