- 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.
- February 06, 2017
Tools for predictive analytics can help guide decision-making in companies and political campaigns, but the 2016 election showed that emotion is still a powerful factor for voters.
Sponsored by Intel - Businesses are excited about artificial intelligence (AI) and the benefits it offers, but like so many new technologies, that potential can be wasted if you don’t know where to begin the journey to production-ready AI. See More
Sponsored by Intel - The cloud is a natural fit for CIOs that wish to evaluate artificial intelligence (AI) because it lends itself to proof of concept (POC) and experimentation without the need for buying hardware that might ultimately not be required. See More
Sponsored by Intel - Artificial intelligence (AI) and machine learning are generating interest from IT leaders eager to discover how the technologies can help their business meet the constant demands of driving down costs, achieving growth, deriving insights from data, making decisions faster and improving efficiency. See More
Sponsored by Intel - Hyperconverged infrastructure promises to make organisations more agile and cost-effective, with new storage technologies replacing legacy systems within a high-performance software-defined IT architecture. See More
- February 06, 2017
Deploying and using predictive modeling tools without heeding best practices doesn't guarantee analytics success, a fact that many analytics managers and election forecasters know all too well.
- January 11, 2017
Many enterprises are struggling with the complexity of today's big data and data science ecosystem, though they recognize the opportunity of emerging practices.
- December 23, 2016
Artificial intelligence applications were all the rage in 2016, but while some delivered impressive results, others didn't work quite as well as developers planned.
- December 22, 2016
The world started to seem like a less predictable place in 2016, and that should throw up caution flags to businesses that heavily leverage predictive analytics models.
- December 21, 2016
GPU technology, once primarily the domain of computer gamers, is getting new legs in systems that run deep learning and AI applications. Experts predict it will be a big part of analytics in 2017.
- November 23, 2016
Self-service analytics is all about getting IT roadblocks out of the way of the business, but traditional tech teams can still play a useful role in defining and implementing BI data governance best practices.
- November 18, 2016
Enterprises are increasingly putting data visualization tools, like Tableau, at the top of their big data platforms to start making sense out of complex data.
- November 17, 2016
Nearly all predictive modeling algorithms were way off in picking the winner of the presidential election. What went wrong can strike any predictive analytics project if data scientists and other analysts aren't careful.
- November 16, 2016
Data dashboard design best practices aren't just about making sure reports look good. They're also closely tied to ensuring dashboards function properly.
- November 14, 2016
Tableau's BI and data visualization tools have primarily been synonymous with basic analytics, but the company is moving to incorporate more advanced analytics capabilities with deeper functionality.