Big data analytics
- May 03, 2018
Self-service BI vendor Qlik is beginning to add a promised set of advanced functionality to its Qlik Sense software, but the features will be delivered in stages.
- March 23, 2018
Ethical data collection practices are becoming even more important, as cases like Cambridge Analytica's misuse of Facebook data challenge consumer trust in enterprise analytics.
- February 13, 2018
IBM's analytics software is strong technically but disjointed and hard to understand, say analysts who think simplifying things should be a priority at the company's Think 2018 conference.
- December 15, 2017
More data doesn't always benefit predictive analytics projects. Data sources must be scrutinized and understood before being used in a predictive model, experts warn at the AI World conference.
- October 13, 2017
Tableau is adding low-level capabilities to raise its software's standing above that of a data visualization tool for business units and to gain more acceptance enterprise-wide.
- September 14, 2017
Breaking down data silos is rarely easy, but doing so can lead to more effective analytics that bring together data from all of a business's operational systems.
- August 16, 2017
Using more GPUs when training deep learning models doesn't always deliver faster results, but new software from IBM shows it can be done.
- 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 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.
- 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.
- 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.