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As I look through the news each week, it really amazes me how often I see the term Artificial Intelligence misused or applied in ways that aren’t really realistic based on our current understanding.

At the beginning of the year, we took at look at anticipating what enterprise tech trends would be for 2017. Now that we’re getting closer to the end of the year, we thought we’d take another look.

Reid Hoffman, known for his success as a PayPal executive as well as co-founder at LinkedIn, was featured on CBS last week.

This week’s featured article comes from the Chief Digital Evangelist at Salesforce, Vala Afshar.

In a blog post from Gartner last week, Rita Sallam announced that a new emerging topic that is becoming more prominent in the Business Intelligence and Analytics space: augmented analytics.

Automation is transforming the finance industry and it’s easy to see why. With growing databases and customers demanding personalized service, automation helps companies meet the current market demands.

Big Data is all around us, and I don’t mean that data is used everywhere. Instead, Big Data marketing is all around us, on the side of buses, on our television screens, in banner ads bombarding us online.

It seems everywhere we look, companies and analysts are talking about Natural Language Generation (NLG) software.

One of the most common questions I get from people interested in Natural Language Generation (NLG) is “how do we choose the first project?” The value of a software that can automatically write reports.

Business Intelligence tools is a term that has become commonplace within the analytics community, with a definition that has been slowly refined through the years.