Big data analytics
- October 13, 2017
Tableau adds low-level capabilities to take its status beyond that of a line-of-business data visualization tool 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.
- July 31, 2017
Growing use of artificial intelligence tools by businesses was the focal point of analytics and data management trends predicted by a group of IT consultants and vendor execs.
- July 31, 2017
Think before you act on artificial intelligence technologies to ensure that your efforts to become a "cognitive business" lead you in the right direction.
- 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.
- 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.
- 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 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.