While industry thought leaders are predicting a surge in the use of artificial intelligence (AI) and machine learning this year, much of that usage is still siloed in the hands of large technology enterprises such as Apple, Google, and Facebook.
While industry thought leaders are predicting a surge in the use of artificial intelligence (AI) and machine learning this year, much of that usage is still siloed in the hands of large technology enterprises such as Apple, Google, and Facebook.
Any given minute of any given day, at least one of the objects you interact with is probably communicating data about you. Your smartphone is telling Apple or Google which apps you use most often. Your television is telling Netflix that you watch historical dramas more often than documentaries.
As adoption of artificial intelligence (AI) and machine learning continues to grow, so does a general sense of anxiety over human jobs being replaced by applications.
In a world flooding with data, discovering insights and acting upon them can give businesses a much-needed “unfair” competitive advantage that drives higher revenues, boosts customer loyalty, lowers operational costs, and improves management of regulatory and compliance risks.
As artificial intelligence (AI) continues to capture the attention of the business community, some predict that this technology will foster the greatest period of transformation since the Industrial Revolution.
Businesses are facing new challenges when it comes to attracting and retaining customers. Empowered consumers have seized control of their relationships with brands, and many of the tried-and-true approaches to reaching them are no longer effective.
Here’s a startling statistic: 80% of corporate business intelligence projects fail.
Has the technology of the Internet of Things (IoT) evolved faster than the skill sets required to leverage it in achieving business objectives? Given the scarcity of job postings with “IoT” in the title, it would appear so.
Not so long ago, the user experience of any app was determined by the technology.
According to a recent article in EconoTimes, a new report by Zion Research shows that the data-driven global business intelligence (BI) market accounted for USD 16.33 billion in 2015 — and that it could reach USD 26.50 billion by t
The results of this week’s presidential election came as a shock to many people.
“Let’s be clear about what we want from business analytics,” writes Butler Analytics founder Martin Butler in his post “Strategies for Profitable Business Analytics,” based on insights from our CEO Roman Stanek.
A recent article on CMS Wire remarked that embedded analytics have emerged as a way to meet organizations’ demand for distributed data: decision-guiding information that can be easi
Once upon a time, business intelligence was just about generating charts, graphs and reports. Then analytics — trending, predictive, comparative — came along.
I recently covered this topic in a CMSWire article and wanted to elaborate a bit more here including three DataTalk videos of
How can you grow revenue and create value out of your analytics assets? That was the question that I teamed up with Wayne Eckerson, Principal Consultant of Eckerson Group, to answer in our latest webinar.