How to Enact a Data Minimization Strategy in Your Business

Zac Amos

Companies need copious amounts of data, especially with the advent of AI and machine learning, but how can they be responsible while obtaining the information they need to operate successfully?

The Case for On-Prem AI Data Centers

Supermicro

AI has become and will continue to be a dominant technology for enterprises worldwide. The technology to change business practices and make better decisions in a wide range of industries has led to an unprecedented demand for access to servers that can perform the AI process's training or inference phase. The AI infrastructure needed for the training phase can be significant in terms of cost, but a high end system (multiple CPUs and GPUs) may not always be the best choice. By implementing AI training within an enterprise's data center, organizations can reduce costs and become more productive and flexible at the same time.

How AI is Revolutionizing Storage Management

Tech Insights for Professionals

Explore how AI is transforming storage management, addressing data growth, reducing costs, and enhancing security. Dive into the future of data storage now.

The Basics of Data Cleansing (and Why It's Important)

Julie Sciullo

Unclean and 'dirty' data has significant downsides that could be holding back your business from growing and hampering your processes. Here's how data cleansing can help.

9 Data Quality Problems and their Solutions

Tech Insights for Professionals

Poor-quality data can be a serious barrier to a business' success. Here are nine common problems you need to look out for, and how you can avoid them.

How to Enact a Data Minimization Strategy in Your Business

Zac Amos

Companies need copious amounts of data, especially with the advent of AI and machine learning, but how can they be responsible while obtaining the information they need to operate successfully?