Karl Paulsen

1 month ago | tvtechnology.com | Karl Paulsen

Using artificial intelligence (AI) for practical purposes is gradually making it into the mainstream public world, despite the fact that it has been in regular use for many “business & industry” purposes for probably a decade. While the media seems to be adding the term “AI” as the resolute action for many things such as graphics, text creation, false or misleading anything, sadly AI is getting a bad wrap in many circles.

Feb 3, 2025 | tvtechnology.com | Karl Paulsen

There are a number of important steps to be taken before your organization moves full speed into the cloud. For example, senior leadership should aggressively focus on the company’s data-management principles, including analytics and security, in concert with how they approach their digital transformation goals. Modernizing and optimizing your organization’s data management requires going beyond the basics of analytics and security.

Dec 3, 2024 | tvtechnology.com | Karl Paulsen

Cloud computing administrators and their superiors probably have been asked at least once in their life, “What keeps you up at night?” An AI-overview answer (courtesy Google AI) came back with this answer: “Essentially, the responsibility of ensuring critical data and applications remain accessible and secure within a dynamic cloud environment.” But this “overview” didn’t really answer the question, so this article may help open your eyes to what’s coming. Fig.

Nov 4, 2024 | tvtechnology.com | Karl Paulsen

Those with any degree of following in media—social media and otherwise—have likely been trying to understand what this “new” technology known by the term “artificial intelligence” really means, where it was derived from, where it is headed and whether it yields another level of risk (human or otherwise). In 1956, a small group of scientists gathered for the Dartmouth Summer Research Project on Artificial Intelligence—this is often said to be the birth of this field of research.

Oct 3, 2024 | tvtechnology.com | Karl Paulsen

In this installment we will investigate how a cloud processing system is structured to address and react to artificial intelligence technologies; how a GPU and CPU (central processing unit) compare architecturally and application-wise. It is important to know that GPU (server) devices are generally employed more frequently than CPU servers in AI cloud environments, particularly for tasks related to machine learning and deep learning.