After Two Days of Face-to-Face Demos, IT Executives Select Real-World Bests at IT Business Edge’s Midmarket CIO Forum LOUISVILLE, KY – April 19, 2011 – Tech publisher IT Business Edge has announced ...

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 ...

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 ...

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 ...

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 ...

In this data-driven age, enterprises leverage data to analyze products, services, employees, customers, and more, on a large scale. ETL (extract, transform, load) tools enable highly scaled sharing of ...

Modern companies, both small and large, require more software and tools to compete in an ever-changing marketplace. A particularly valuable tool is software that handles Governance, Risk, and ...

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 ...

Real-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a ...