Zero-Day Exploits: A Brief History

by Stephen P. | October 26, 2021

Of all the types of cybersecurity threats, few are as feared as the zero-day exploit. The term zero-day is used to refer to the fact that the associated software developer or vendor typically had no prior knowledge of the vulnerability in question, and they have zero days to fix it before it is exploited. These types of vulnerabilities can be so damaging that they typically sell for millions of dollars on the dark web or other underground marketplaces.

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Six Cryptocurrency Fraud Schemes You Should Know

by Stephen P. | June 22, 2021
Bitcoin and cryptocurrency are hot topics in the discourse around today’s investment landscape. It’s common to come across cryptocurrency rags-to-riches stories, but at the same time, bitcoin scams have also hit an all-time high.
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How Open Source is Driving New Innovations in Data Analytics

by Stephen P. | May 14, 2021
When it comes to analytics, companies have two major challenges: data tracking, and building a link between the data and business intelligence. While there are several proprietary tools companies can use, the field has matured enough that free and open source analytic tools have become an attractive alternative.
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Why Automate Data Analytics?

by Stephen P. | November 18, 2020

It’s no secret that the world of data is growing at a breathtaking pace. Analytics play a critical role in putting this data in context and ultimately transforming it into useful information. Automation goes a long way in enabling enterprises to achieve and maintain data management scalability.

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Balancing Analytical Approaches in the Real World

by Stephen P. | August 20, 2020

There are a plethora of companies out there competing in the analytics space, and data science is the name of the game. However, there is still a need for decision-centric analytics because without domain and business knowledge to direct the more data-centric analytical approach, the direction and relevance of findings can go astray.  As entrepreneur and data scientist Damian Mingle said, “Data Scientists open the door.

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Keras: Making Deep Learning More Accessible

by Nate | November 25, 2019

People often mistakenly use deep learning and machine learning as synonyms. Actually, it would be more correct to consider deep learning a subset of machine learning and about as similar to traditional machine learning as a calculator is to a computer.

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The Key Role Humanities Play in Algorithm Development

by Daisy Q. | November 22, 2019

As the field of data sciences progresses and algorithms become more refined, topic modelling practices have become more important. This process involves the grouping of objects based on key attributes so that a computer can easily categorize them. This process involves methods of analysis commonly practiced in fields such as literary studies, meaning that specialists in such fields will be essential in further development of related technologies.

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The Cloud, Business, and the Future

by Stephen P. | November 15, 2019

The cloud is quickly becoming businesses’ preferred method of data management, but it is important to know about where it is going before trusting it fully. In order to best support users, the cloud takes different forms and is continuing to pursue new paths as it evolves. This article by Ronald van Loon is a great resource to learn about the types of cloud and how they might evolve with the aid of artificial intelligence as they are refined.

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