- September 09, 2016
Responses to a White House request for information on AI software show stakeholders are still split between worry and enthusiasm for this fast-developing technology.
- August 31, 2016
Technology consultants and vendor executives share their predictions on likely developments in BI, analytics and big data technologies, and user deployments of them over the next 12 months.
- August 30, 2016
Businesses are facing unprecedented cybersecurity challenges today, but Hadoop can give enterprises one platform for managing big data and security.
- July 29, 2016
Tableau is getting set to release the 10th version of its self-service reporting tool, with updates in several key areas intended to silence some of its critics.
- July 20, 2016
AI systems are generating huge hype right now, which makes it imperative for businesses to understand how the technology can be deployed most effectively.
Sponsored by SAS Institute Inc. - By using the SAS Marketing Automation solution, Hana Tour Group could launch more effective campaigns and see clear results from its customized marketing. See More
Sponsored by SAS Institute Inc. - With streaming analytics you can solve business problems in new ways and seize new revenue opportunities. You can reduce costs and increase efficiency while improving the safety of employees and the security of assets and intellectual property. See More
Sponsored by SAS Institute Inc. - Interactive data discovery and predictive analytics technologies allow business users and analysts to identify important trends and relationships in data sets and drill down into questions from any angle. They also allow business users to collaborate with specialists to create, refine and select the best predictive models. See More
Sponsored by SAS Institute Inc. - You’re getting started with a big data analytics project on Hadoop and are impressed by the cost savings on storage compared with your data warehouse. You’ve read that TrueCar, a company that collects vast volumes of car price data for its online car-buying business, has cut its monthly data storage cost from $19/GB to $0.23/GB. So you’re wondering, should you consider moving all your business intelligence efforts to Hadoop? See More
- July 08, 2016
Selling business executives on the value of big data analytics applications is becoming a to-do list item for more IT managers who look to deploy Hadoop clusters in their organizations.
- July 07, 2016
Data scientists are in high demand, but in such scarce supply that some companies outsource their data for analysis. DataScience Inc. CEO Ian Swanson explains how it works.
- June 21, 2016
The first person to take over the CDO role for the city of Boston is hoping to support existing teams to make government more effective by leveraging data and analytics.
- June 17, 2016
Most commercial distributions of Spark offer a cloud option, and these have been popular with customers. But that doesn't mean cloud Spark platforms make sense for every situation.
- June 15, 2016
While cognitive computing and the internet of things generate a lot of buzz in today's analytics world, surveyed businesses still give priority to traditional BI reporting tools.
- 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.