News

News

• February 06, 2017 06 Feb'17

  Tools for predictive analytics took a hit in presidential election

  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.

• February 06, 2017 06 Feb'17

  Don't learn lessons on predictive modeling techniques the hard way

  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 11 Jan'17

  Lack of skills remains one of the biggest data science challenges

  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 23 Dec'16

  Not all machine learning and AI projects panned out in 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 22 Dec'16

  Events of 2016 put strain on predictive analytics algorithms

  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.

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• December 21, 2016 21 Dec'16

  Why 2017 is setting up to be the year of GPU chips in deep learning

  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 23 Nov'16

  Business should work with IT to get self-service BI governance right

  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 18 Nov'16

  Data visualization plays an important role in a big data environment

  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 17 Nov'16

  How predictive modeling and forecasting failed to pick election winner

  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 16 Nov'16

  Don't let bad data dashboard design crash your reports

  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 14 Nov'16

  Tableau data visualization software to embrace machine learning

  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.

• November 01, 2016 01 Nov'16

  Cognitive computing applications present new business challenges

  When implementing cognitive software, enterprises need to worry just as much -- if not more -- about the business implications, rather than the technical challenges.

• October 27, 2016 27 Oct'16

  Users still kicking the tires on IBM's cognitive applications

  There's a huge amount of excitement around IBM's cognitive computing tools, but users are still looking for ways to implement them in their businesses.

• October 25, 2016 25 Oct'16

  Pentaho 7.0 update combines data preparation tool with analytics

  Users increasingly want data preparation to be tightly integrated into the analytics process to shorten time to insight, and Pentaho's new 7.0 software release aims to satisfy that need.

• October 13, 2016 13 Oct'16

  IoT data analytics streams into uncharted waters

  In the world of the internet of things, it's one thing to gather mountains of data from an ever-increasing multitude of sensors, appliances, vehicles, smart personal devices and industrial equipment. It's quite another thing to liberate congested ...