Advertisement

2018 DATAVERSITY Top 20

As we wrap up 2018 and prepare ourselves for 2019, it’s time to take a moment to review and reflect. And while in review, we take the opportunity to look at the content published, produced, and consumed over the last year. In looking at the top 20 published articles and blogs of the year, Machine […]

2018 DATAVERSITY Mid-Year Top 20

It’s halfway through 2018 and time once again to post the Top 20 pieces of content published and consumed by you, the community, within the last year. What are people reading, sharing, and discussing? So, what’s happening on the list? Machine Learning continues to hover towards the top and makes a couple of appearances. No […]

2017 DATAVERSITY Top 20

The Top 20 Posts of the year are here! As one year comes to an end and another about to begin, it’s a tradition here at DATAVERSITY to take a moment to pause and review the content published over the year by our writers and by the Industry Experts who contribute their thoughts and experiences. […]

What are Data Ethics?

Data Ethics describe a code of behavior, specifically what is right and wrong, encompassing the following: Data Handling: generation, recording, curation, processing, dissemination, sharing, and use. Algorithms: AI, artificial agents, machine learning, and robots. Corresponding Practices: responsible innovation, programming, hacking, and professional codes. Data Ethics build on the foundation provided by computer and information ethics, but […]

What is Edge Computing?

Edge Computing uses a network of microdata stations to process and store Big Data locally, taking the concept of a distributed architecture to the next level. With the growth of sensor data from the Internet of Things (IoT), bottlenecks in network traffic, and the drawbacks of using Cloud Computing (such as spotty internet connection), Edge Computing […]

What is Natural Language Processing (NLP)?

Natural Language Processing (NLP) describes a branch of Artificial Intelligence (AI) that automates language recognition and generation so that computers and humans can communicate seamlessly. To interact with humans, computers must be adept at and understand syntax (grammar), semantics (word meaning), morphology (tense), and pragmatics (conversation). These tasks have proven quite complex. Natural language processing encompasses […]

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept