What do you think about when you hear the words “the future of finance?” For most people, images of mobile payments, online banking, and other cutting-edge technologies come to mind. But what about ...

Automation is the way of the future with 68 percent of global employees believing that automation will help them be more productive at work. But figuring out how to add automation to workflows can be ...

The enterprise landscape is changing, and along with it cybersecurity needs. Employees are increasingly remote, applications are moving to the cloud, and IT infrastructure is becoming more complex, ...

The metaverse can be an intimidating term conjuring up visions of some futuristic virtual world, but it’s perhaps best viewed as virtual experiences brought to the internet, something akin to an ...

Mark Zuckerberg introduced Facebook’s rebranding to Meta at the company’s annual Connect event last year to reposition the company for the “new internet,” the metaverse. Today AI is one of the most ...

Data continues to grow in importance for customer insights, projecting trends, and training artificial intelligence (AI) or machine learning (ML) algorithms. In a quest to fully encompass all data ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Artificial intelligence really is everywhere in our day-to-day lives, and one area that’s drawn a lot of attention is its use in facial recognition systems (FRS). This controversial collection of ...

Data lakes have become a critical solution for enterprises to store and analyze data. A cloud data lake solution offers a number of benefits that make it an ideal tool for managing and processing data ...

Cloud technology keeps advancing rapidly, giving businesses access to faster, cheaper, and more robust cloud storage and application capabilities. Unfortunately, hackers are also getting more ...

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

The concept of the data fabric emerged in 2015 from NetApp. It was later redefined after three years as implementations matured. And as the rest of the data storage industry pushed their own data ...