- 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 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.
- 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.
- February 15, 2017
Scientific researchers need robust big data architectures to solve the challenges of mining and analyzing genomic data, and some say the Apache Spark engine is well-suited for the job.
- February 13, 2017
There's no doubt the maturity of Spark development for enterprises has come a long way, but it may still be too 'techy' for some businesses.
- February 06, 2017
Good instincts used to drive successful business strategies, but intuition just can't cut it in the age of big data.