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
Women might make up 30 percent of the workforce at technology companies—for now—but they’re a force to be reckoned with no matter their numbers. Are you trying to balance work and life while advancing in your career? Or are you considering pursuing a career in tech? Find how IBM is embracing the
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
The Internet of Things continues to be a land of opportunity in so many areas. Take a look at this overview of steps to innovation and success factors along with the risks and pitfalls to avoid in your Internet of Things journey.
We’re all aware of how data streams at us from anywhere and everywhere, and all the implications that continuum entails. But when attempting to derive value from all that data—the data we can access as well as the data we don’t have access to—CIOs need an innovative advantage to help their
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.
Nick Pentreath of the Spark Technology Center teamed up with Jean-François Puget of IBM Analytics to deliver the main talk of the Spark & Machine Learning Meetup in Brussels, "Creating an end-to-end Recommender System with Apache Spark and Elasticsearch."
At the recent Spark & Machine Learning Meetup in Brussels, Holden Karau of the Spark Technology Center delivered a lightning talk called "A very brief introduction to extending Spark ML for custom models."
At the Spark & Machine Learning Meetup in Brussels on October 27, 2016, Pierre Borckmans of Real Impact Analytics delivered a lightning talk called "Writing Spark applications, the easy way: How to focus on your data pipelines and forget about the rest."