- July 18, 2017
The combination of AI and jobs will change the way workplaces look in the future, experts say. People will have to focus more on their areas of strength.
- July 17, 2017
The chief data officer's next challenge may be to find storytellers who can explain machine learning for data science to decision-makers in the organization.
- July 10, 2017
Artificial intelligence and creativity may not seem like the most natural pairing, but some AI developers are trying to show that machines can actually replicate much of human creativity.
- July 07, 2017
Biased data samples or model development practices can derail any company interested in using AI tools and diminish the technology's return on investment.
- June 30, 2017
AI software is garnering a lot of hype, but many companies are going to have to rethink how they interact with analytics tools in order to capitalize on the true potential of AI.
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
- June 29, 2017
A new breed of data analytics tool for data scientists aims to deliver far more than BI software, including predictive analytics and exploratory analytics.
- June 22, 2017
Running business intelligence applications in the cloud has yet to take the BI world by storm. Researcher Howard Dresner offers insight on why and discusses the state of cloud BI software.
- June 07, 2017
When deploying deep learning models into production, experts say it's important to take care of the basics, like model design and testing, to ensure optimal business impact.
- 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.
- 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.