- June 06, 2017
Databricks brings new features to its managed Spark platform -- as well as to open source Spark -- that it hopes will make the computing engine more widely usable.
- June 05, 2017
At Facebook it's all about user engagement, and to accomplish this, the company relies heavily on deep learning algorithms to tailor its products to the interests of individuals.
- May 31, 2017
Modern AI tools fall short of true artificial intelligence, and this could have implications for how the technology is used by enterprises in the near future.
- May 23, 2017
Hiring a data scientist is hard enough given the shortage of candidates, but the subtle mix of skills required by the job can make hiring one even harder.
- May 18, 2017
Deep learning may share some characteristics of traditional machine learning, but experienced users say it's really in a class by itself when it comes to predictive-model design and output.
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
Sponsored by SAS Institute Inc. - You want to get started with a big data project at your company, but you're unfamiliar with Hadoop and you're unsure your project will deliver value. Relax. Many organizations are struggling to implement Hadoop for a variety of reasons. In "The Current State of Hadoop in the Enterprise," by the International Institute for Analytics and sponsored by SAS, you'll find a handy list of five steps to maximize the value of a Hadoop big data project for your organization. See More
- April 19, 2017
To get the most value from investments in advanced analytics techniques, like artificial intelligence and data science, businesses must embrace a specific mindset.
- April 12, 2017
Sisense is betting that machine learning algorithms can improve its data discovery experience, a move that could soon become the new standard in self-service analytics.
- April 06, 2017
The cost of Tableau software for most new customers will be calculated based on subscription fees rather than licenses, in a reaction to emerging market demands and challenges.
- April 05, 2017
Artificial intelligence apps provide invaluable insights and assistance for a host of business processes, and today's uses are just the tip of the iceberg.
- March 28, 2017
Self-service BI tools have become the go-to standard for business intelligence software, but users are pushing vendors to rethink how they address enterprise needs and advanced analytics.
- March 17, 2017
A lot of factors go into a choosing a strong, modern BI tool. But several users say ease of use trumped all other considerations for them in picking self-service software.
- March 15, 2017
Simply hiring a data scientist doesn't mean you'll get the full benefits of data science. Several enterprises describe how they made the practice pay off for them.
- March 10, 2017
Last year saw a ton of hype around emerging AI tech, but as they penetrate further into the enterprise, experts are urging caution.
- March 08, 2017
Data scientists at companies such as LinkedIn and Cisco are applying aspects of the scientific method to data mining and analysis initiatives to try to make sure they get valid results.
- February 28, 2017
Data science teams face a mix of process and cultural challenges in organizations, according to experienced analytics managers who offer advice on how to overcome the hurdles.