Authentic or Synthetic?
Data is gold. It is the lifeblood of machine learning models. But what happens when the access is limited? Is this where synthetic data […]
Protecting the Integrity of Data
Data fragmentation refers to the dispersion of an organization’s data assets. The more data you have from different sources and stored in different spaces, the […]
Understanding AI
Artificial intelligence (AI) gets a lot of air time these days, but few people fully understand what it is and how it achieves the […]
Finding the Meaning in the Data
Statistical analysis is the process of collecting and analyzing data to identify patterns and trends, remove bias and inform decision-making. It’s an aspect of […]
Using AI in Diagnostic Tests
An artificial intelligence (AI) algorithm that can detect subtle brain abnormalities that cause epileptic seizures has been developed by researchers. This is particularly important, […]
Security in the Clouds
As enterprises increasingly transition into cloud data management, the risk of cyberattacks has grown. Cyberattacks can harm companies in terms of both financial status […]
Creativity in Technology
Creativity and science aren’t always linked together. However, creative ideas likely result from searching and combining semantic memory knowledge. The mechanisms acting on memory […]
Emerging Technologies and Cybersecurity
Machine learning can examine terabytes of historical data and apply parameters to its decisions in fractions of seconds. This is one significant way it sets […]
Taking Advantage of Data Analytics
For years, businesses have been organizing information on spreadsheets to run analytics, such as summary statistics by group. Of course, to get value out […]
Findability and Classification
The need to classify and categorize corporate information has never been greater. The proliferation of information channels, sources and delivery platforms make managing information […]