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 ...

While financial markets have rallied in recent weeks, there are still many enterprise software companies that are trading at depressed levels. It’s common for there to be losses of 50%+ for the past ...

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, ...

In a world where data breaches are becoming increasingly common, it’s essential to take steps to protect enterprise information. That’s where data loss prevention tools come in. These tools can help ...

Keeping up with the ever-changing IT needs of a growing business can be a logistical nightmare. That’s why so many organizations have outsourced IT management to managed service providers (MSPs).

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 ...

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 ...

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 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 ...

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 ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...