News

News

  • 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.

  • 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.

  • Sponsored News

    • How DBAs Can Drive Oracle Performance With All-Flash 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

    • For LOB Managers: Using All-Flash Storage to Drive Better Decision-Making

      Businesses are now in an era where faster access to analytics has become a critical competitive differentiator. If you are running a line of business or are responsible for a key application in your company, you need to make sure your underlying technology platform can support better and faster decision-making for you and your employees. Your future, and the future of your company, may depend upon it. See More

    • 5 Reasons Why All-Flash Storage on Oracle Is Essential for Application Owners

      If you are responsible for a key application at your company, you already have a lot to worry about. You need to respond to the needs of the business faster than ever, probably with fewer resources. You have to meet stricter service-level agreements for application performance, also with fewer resources. And you need to keep up with the latest application tools and development platforms that improve developer productivity. See More

    • A Quick Guide for DBAs: Oracle, the Cloud and All-Flash Storage

      One of the important considerations for database administrators (DBAs) in today’s environment is how to leverage cloud models. For a wide range of applications, the cloud delivers better economics, greater agility and simpler scalability. Oracle databases, however, are a critical area that organizations are reluctant to turn over to a public cloud environment. See More

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  • November 22, 2016 22 Nov'16

    Creative projects leave people guessing about future impact of AI

    A push is underway to write creative AI algorithms that can engage in music, film and design projects. So far, they have delivered mixed results.

  • 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 ...

  • October 06, 2016 06 Oct'16

    Sports data analytics isn't always a slam dunk

    The growing trend of analytics in sports has caused much debate, and even though data-driven decisions can provide some benefits, they're not right for all occasions.

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