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.
Big data and design thinking share some common core principles for creating highly connected, meaningful business and customer user experiences. See why organizations worldwide are realizing the magic of combining big data with design thinking to generate value for powerful business use cases.
As we bid goodbye to IBM Insight at World of Watson 2016, we set our sights on exciting engagements taking shape to help make the world a better place that are expected to result from IBM partnerships with innovative organizations. Here’s a recap of the conference’s closing moments and
Whether in the automotive world or at the copier, predictive modeling is helping organizations boost their return on investment without incurring marketing expenses, augmenting staff rosters or changing product lines. In this rundown of three smaller sessions from IBM Insight at World of Watson
IBM Insight at World of Watson 2016 certainly has a lot to offer, and one good place to start is the conference bookstore. Take a look at this overview for surviving the challenge of finding the right title for your technology of choice.
IBM is joining educators from around the globe in their quest to unleash a new generation of data scientists on the world. During the IBM Insight at World of Watson 2016 conference, discover how data science initiatives and offerings are empowering up-and-coming data scientists everywhere.
If simplicity can fundamentally accelerate focused action, then you can significantly boost speed, productivity and effectiveness in your enterprise. Take a look at this overview of key announcements unveiled on the first day of IBM Insight at World of Watson 2016.
A recent CrowdChat covered team data science as the core competency for digital disruption in today’s business environments. Consider these highlights from that discussion as you prepare for your trip to Las Vegas.
The combination of Jupyter Notebooks, Apache Hadoop and Apache Spark has become a killer app for data practitioners. It unlocks the ability to explore, visualize and experiment with both structured and unstructured data sets with great ease and efficiency. We spoke recently with Chris Snow at IBM
The inability of lines of business to not serve requests because they have to wait for IT provisioning can lead to a proliferation of analytics silos that can cause a loss of control of data. See how the next big stage of analytics with integrated Apache Spark helps organizations understand the
Fintech products and innovative banking business models are creating a disruption upheaval in the global banking industry. Discover how retail banking can redefine business and operating models by offering innovative customer propositions through implementation of a big data–enabled recommendation
Apache Spark, sometimes called the “analytics operating system,” is empowering organizations of all kinds through machine learning by helping them create unprecedented value from their data. Discover eight ways that Apache Spark’s machine learning capabilities are driving the modern business.
Attend IBM Insight at World of Watson 2016 to explore the ways in which predictive analytics is helping modern businesses gain and retain the competitive advantage in their industries. To learn more, review these highlights from a CrowdChat in which industry experts discussed the central role of