Articles

The story of the first business computer could not be more British if it tried.

Safeguarding your organization's cybersecurity is tricky.

Technology has made the world a smaller place.

Shoppers easily make e-commerce purchases with a click of a button, but payment processing is much more complicated than that.

Artificial intelligence (AI) has become the hottest topic in technology. Its use in the age of digital transformation spans the commercial and public sectors, fueling debate among businesses, lawmakers, and the public. I have been putting pen to paper on the subject for a few years now; having recently joined G2 to nurture the expansion of our AI categories (as well as our analytics, cloud, and security categories), I would like to sum up some of my views, while setting the scene for a more detailed exploration of the technologies, business challenges, and trends shaping AI. 

Machine learning is taking almost every industry by storm.

Customers are the fuel of any business. They drive the revenue that organizations need to grow and succeed. Resources, on the other hand, are the machinery required for smooth business operations. Employees, equipment, partners, and working capital all come under resources.

Not all clouds are created equal, at least not in terms of security.

Despite the technological advancements that ushered in a new digital age, many aspects of traditional enterprise IT networks remain essentially unchanged.

Remote work isn't the future. It's a current reality, with nearly 75% of U.S. workers working remotely at least some of the time, according to Owl Labs' State of Remote Work 2019 Report. Data scientists and other data professionals are no exception to the rule and are able to bring their work home with them if and when the need, or desire, arises. However, a switch to remote work isn't as straightforward as simply taking a work laptop home.