- January 17, 2018
The Hyper in-memory data engine added in Tableau 10.5 could make Tableau analytics capabilities more expansive, enabling the software to support new use cases, like IoT analytics.
- 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.
- December 14, 2017
For enterprises to benefit from AI tools and techniques, experts at AI World stressed that technology needs to be grounded by a tight focus on how it can improve business goals.
- 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.
Sponsored by SAS Institute Inc. - By using the SAS Marketing Automation solution, Hana Tour Group could launch more effective campaigns and see clear results from its customized marketing. See More
Sponsored by Qlik Software - By enhancing data security, better controlling access to data, and standardizing ways that data is defined and used, governance creates a single source of truth – a trusted resource that allows for less debate over data, more confident decision-making, and better business results overall. See More
Sponsored by Pure Storage - Database administrators (DBAs) are under intense pressure to improve the performance of their Oracle databases. Businesses are processing more data, more transactions and larger data sets, yet they also demand faster database performance with no latency. At the same time, many organizations are embracing database consolidation to reduce costs and improve efficiencies, while still expecting improved database performance. It’s a constant theme that is unlikely to change any time soon. In fact, with the growth of big data analytics and the Internet of Things, the pressure on DBAs will become even greater. See More
Sponsored by Veritas - As greater challenges emerge in today’s data-centric business environment, organizations are placing more emphasis than ever upon risk mitigation. Not only are IT executives looking for ways to reduce their organizations’ risk profiles, but business leaders—including boards of directors—are making risk reduction an essential action item. See More
- 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.
- August 15, 2017
Artificial intelligence products are the future and many tech vendors are AI washing to trick potential customers into thinking they're buying leading-edge software.
- 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 31, 2017
Despite the current notion that business intelligence and artificial intelligence are separate disciplines, AI-powered BI is an idea that should get more attention.
- 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.