- June 10, 2016
Now is the time for businesses to think about putting in place machine learning applications to benefit from this hot advanced analytics technology trend.
- May 23, 2016
Organizations are increasingly looking for ways to capitalize on all of the unstructured data they've been collecting and stashing. Deep learning applications could offer an answer.
- May 06, 2016
You might think that today's IT world is all about big data, but TechTarget's 2016 IT Priorities Survey shows that mainstream BI, analytics and data warehouse software is still a hot commodity.
- April 15, 2016
After achieving Jeopardy! success in 2011, IBM is trying to boost its Watson cognitive computing system back into the spotlight through acquisitions and by building out its Watson-based commercial products.
- March 31, 2016
In a panel discussion at Strata + Hadoop World 2016, managers of data science initiatives discussed how to structure and lead teams of data scientists for effective big data analytics.
Sponsored by CloudHealth - As enterprises continue to add new use cases and workloads to their cloud portfolio, the stakes keep rising for potential governance speed bumps. Business users and IT professionals alike are now using the cloud for everything from compliance and security to cloud-native application development and infrastructure optimization. But this makes policy management more difficult, time consuming and costly, especially with so many cloud services being purchased and deployed outside the scope, visibility and control of a centralized IT operations group. See More
Sponsored by CloudHealth - In the era of Cloud 1.0, early adopters were often drawn to the cloud because it allowed them to reduce Capex and move to a more predictable subscription pricing model. In recent years, cloud adoption has surged because organizations have recognized that it not only reduces their hardware purchases and per-seat software licenses but provides many operational benefits as well. See More
Sponsored by CloudHealth - For more than a decade, the biggest gating factor in cloud computing adoption was perceived security risks. IT professionals and business leaders alike were often extremely concerned about a perceived loss of control of mission-critical data and essential applications when moved to the cloud. See More
- March 30, 2016
In big data analytics, some want stronger data privacy regulations, while others want the government out of the picture.
- March 24, 2016
New features in Microsoft's cloud BI tool give users a raft of data visualization capabilities, including the ability to analyze Power BI data in Excel.
- February 19, 2016
This year's Magic Quadrant report from Gartner on business intelligence and analytics platforms reflects a shifting market for BI reporting tools and includes some big changes in its vendor rankings.
- February 12, 2016
IoT big data analytics is needed to make sense of the mountains of data coming from industrial equipment and Spark may be up to the task.
- February 05, 2016
At the 2016 TDWI Executive Summit in Las Vegas, business intelligence managers detailed moves by their organizations to embrace self-service BI tools -- and the benefits that followed.
- February 04, 2016
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.
- January 29, 2016
A new report from Dresner Advisory Services says businesses see increased value in location intelligence software, but products need to improve.
- January 28, 2016
Data scientist ranks as the top job in America this year, as low supply and high demand mean big money for those who qualify for that emerging IT career.
- January 14, 2016
A data-driven company tends to outperform its competitors, but the asset protection process rarely drives continued evolution of analytics capabilities. Grocery chain Weis Markets is the exception.
- December 21, 2015
In an excerpt from his book on BI development and delivery, author Greg Steffine explains why it's important to focus BI initiatives on enabling the business to respond quickly and nimbly to situations.