In a recent CrowdChat discussion, a group of Hadoop and Spark subject matter experts from the IBM Analytics group discussed using cloud-based Hadoop and Spark services as a lever for business agility. From their contributions we drew ten hot topics and themes for experts in all areas of the big
Some organizations misunderstand the optimized way to use Hadoop and Spark together, primarily because of their complexity. But investing in both technologies enables a broad set of big data analytics and application development use cases. See what Niru Anisetti and Rohan Vaidyanathan have to say
Ever hear of the Big Data Dudes? If not, crawl out from under that rock and see what these intrepid big data and analytics heroes are up to in their latest analytics blockbuster, "Big Data Dudes and the Lost in Las Vegas Mystery."
IBM has identified a number of common problems that many businesses find themselves facing in their various stages of Apache Hadoop and Apache Spark adoption. As a result, IBM has developed a set of support services to help customers accelerate time-to-value outcomes and reduce risk when building
Without question, our lives are very different from only a couple decades ago, thanks in part to some pretty amazing technology advances including smartphones and other devices, mobile apps, an ever-growing array of social channels and more. Take a look at how one telecommunications organization
At the core of many big data architectures is Apache Hadoop and Apache Spark. Organizations adopting these technologies for their big data journey are nevertheless at different levels of maturity. Hear what Prasad Pandit had to say in an interview with Andrea Braida about how IBM is evolving its
One thing that a recent event in Beijing, China confirmed is there’s no shortage of interest in machine learning for developers in that region. Take a look at snapshots of event highlights featuring rich content on artificial intelligence, cognitive capabilities, machine learning and more presented
Businesses have come to expect that smart rivals wielding digital technologies will disrupt their competitive landscapes. How ready is your organization to be a digital disruptor? Take a look at detailed criteria for assessing your organization’s readiness and the strategic steps you can take to
Many forward-thinking organizations want to investigate how big data analytics helps them outthink and outperform the competition. However, many also are challenged with finding the right talent to run the operations, keep the data secure and figure out how to leverage the myriad tools at their
In this podcast recorded at WoW, IBM Data Science Evangelist James Kobielus interviewed two of those experts—Steve Ardire, AI software startup advisor, and Joe Caserta, Caserta Concepts—to gain their insights on trends facing data professionals.
We are excited to announce the GA of the BigInsights for Apache Hadoop Basic plan on Bluemix! Over the last three months, the service has been available as a public beta. It was encouraging to see the participation and feedback during the beta. The feedback has been valuable in improving the
Take a peek at the future of data science in this discussion with five thought leaders in the data analytics industry, the second installment of a two-part interview recorded at the IBM Insight at World of Watson 2016 conference.
Take a peek at the future of data science in this discussion with five thought leaders in the data analytics industry, the first installment of a two-part interview recorded at the IBM Insight at World of Watson 2016 conference.