When we hear the words AI and call centres, we immediately imagine dialling a number, only to be greeted by a semirobotic voice (think Siri or Google). While it’s true that AI can be more efficient than humans (at some things), does it really mean that human call centre agents
@philsimon chimes in about how success in one area can lead to success in another.
What's stopping you from being a data-driven business? Phil Simon points to four common stumbling blocks.
It's easier said than done to be a data-driven business, but the squeeze is worth the juice.
.@philsimon says that it's never too early to think about the IoT and data management.
.@philsimon on whether big data and analytics offer true guarantees.
.@philsimon provides insights on whether a data strategy can result in competitive advantage.
.@philsimon on whether data governance is still relevant.
.@philsimon on the soft skills that Big Data requires.
.@philsimon on the new role of IT.
I've spent a great deal of time in my consulting career railing against multiple systems of record, data silos and disparate versions of the truth. In the mid-1990s, I realized that Excel could only do so much. To quickly identify and ultimately ameliorate thorny data issues, I had to up
When asked what his movement wanted around a century ago, the iconic American labor leader Samuel Gompers famously gave a one-word answer: "More." This annoyed his opponents at the negotiating table and many in the business community. He was not demanding a specific wage increase or fighting for a distinct cause like
Google recently announced that they will be adding Google Fiber high speed network and TV to my area. This was great news, because it will give us more choices ... and a little competition among providers tends to make them all 'try harder' to please the customer. :-) I was curious what other
The Google Flu Trends application has received negative press since 2013 over its inability to accurately detect flu outbreaks. The latest critique, “The Parable of Google Flu: Traps in Big Data Analysis,” from Science magazine compares Google Flu Trends data to CDC data and dissects where the Google analysis went
Is big data becoming too big to ignore? An increasing number of organizations seem to think so. As Matt Asay on ReadWriteWeb writes: According to a recent Gartner report, 64% of enterprises surveyed indicate that they're deploying or planning Big Data projects (emphasis mine). Yet even more acknowledge that they