News

News

• April 30, 2018 30 Apr'18

  Tableau Prep tool aims to ease Tableau data preparation work

  Tableau users who previously had to rely on software from other vendors to prepare data now have a new option: Tableau Prep, the BI vendor's own data preparation tool.

• March 23, 2018 23 Mar'18

  Cambridge Analytica-Facebook case shows need for ethical data mining

  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 13 Feb'18

  IT analysts look for clarity on IBM analytics tools

  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.

• January 17, 2018 17 Jan'18

  Hyper engine aims to give enterprise Tableau analytics a boost

  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 15 Dec'17

  Predictive analysis for business requires the right data

  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.

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• October 13, 2017 13 Oct'17

  Tableau data visualization tool gets enterprise upgrade

  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 14 Sep'17

  Siloed data doesn't have to stop you from doing advanced analytics

  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 16 Aug'17

  IBM cracks the code for speeding up its deep learning platform

  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 31 Jul'17

  Business intelligence and artificial intelligence are a natural fit

  Despite the current notion that business intelligence and artificial intelligence are separate disciplines, AI-powered BI is an idea that should get more attention.

• June 29, 2017 29 Jun'17

  Data analytics tool for data scientists goes beyond BI visualization

  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 22, 2017 22 Jun'17

  Despite functionality gains, use of cloud BI tools elevates slowly

  Running business intelligence applications in the cloud has yet to take the BI world by storm. Researcher Howard Dresner offers insight on why and discusses the state of cloud BI software.

• June 07, 2017 07 Jun'17

  Experts explain how to deploy deep learning in production

  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 06 Jun'17

  Databricks looks to simplify Spark computing via auto-config option

  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 23 May'17

  Experts share must-have data science skills beyond coding and math

  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.

• April 19, 2017 19 Apr'17

  How data science and AI can coexist in enterprises

  To get the most value from investments in advanced analytics techniques, like artificial intelligence and data science, businesses must embrace a specific mindset.