Intelligence File
-
Business intelligence and artificial intelligence are a natural fit
Despite the current notion that business intelligence and artificial intelligence are separate disciplines, AI-powered BI is an idea that should get more attention. Continue Reading
-
Cognitive computing technologies still deliver mixed results
Cognitive computing tools have come a long way in the last couple of years, but the notion of true cognitive businesses, built around AI platforms, is still a long way off. Continue Reading
-
Don't let a data-driven approach ax judgment from analytics equation
Data analytics can help improve decision-making in organizations. But human intuition and judgment need to be part of the picture to keep predictive models and analytical algorithms from going awry. Continue Reading
-
Machine learning models take over the software industry
Just as software took over the broader technology industry a few years ago, we're starting to see machine learning algorithms dominate software. There's good reason for this trend. Continue Reading
-
Self-driving cars will test trust in machine learning algorithms
The public's faith in machine learning techniques has never been put to the test quite like it will be by the emergence of self-driving cars, which are reliant on the technology. Continue Reading
-
Hadoop architectures propel wider move to data-driven analytics
With Hadoop reaching several 10-year milestones, proponents laud the big data framework for making organizations more data-driven. And there's some merit in what they're saying. Continue Reading
-
Ready-to-use machine learning algorithms ease chatbot development
Two new machine learning tools from IBM and Google promise rapid development of text- and speech-based applications and signal continued competition for customers in a fierce market. Continue Reading
-
Few artificial intelligence applications live up to the name
Computer AI has been the holy grail of application development for nearly 50 years, but just because some projects now claim to be AI, that doesn't mean they are. Continue Reading
-
Sell your CEO on business intelligence software tools
Convincing executives and other workers to adopt business intelligence software remains surprisingly difficult. If you aren't selling BI's benefits internally, that might be one reason why. Continue Reading
-
Don't just buy into data connectors in new BI tools
There's no shortage of data analysis tools promising easy connectivity to a range of data sources. While these technologies are promising, users need to approach them cautiously. Continue Reading
-
MapReduce(d) in the eyes of many Hadoop systems users
New technologies are augmenting -- and in some cases replacing -- the core components of Hadoop. Welcome to the new, not-so-settled reality of the big data era. Continue Reading
-
Data analysis tools don't create data-driven culture
Businesses want to be more data-driven, and vendors are capitalizing on the demand with sleek, self-service tools. But it's culture, not tools, that creates a data-driven organization. Continue Reading
-
Customer data analytics teams take on a more lawyerly look
In some organizations, corporate lawyers are tasked with protecting data from analytics abuse. But they need to avoid tying the hands of data scientists. Continue Reading
-
Data science jobs not as plentiful as all the hype indicates
These days, it seems everyone is talking about data scientists. General interest in the role continues to grow, but that isn't leading to corresponding growth in jobs among employers. Continue Reading
-
Bring data analysis methods to the masses
Many members of the general public, which includes business executives, don't really understand what analytics is all about. It's up to data scientists to educate them. Continue Reading
-
Businesses are out of excuses on cyber security analytics
Major data breaches keep happening, even though businesses have security analytics tools available to them that could put a stop to the problem. Continue Reading