Organizations looking to transform their operations can turn to data science for an approach that offers the ability to predict events and behavior, prescribe actions, derive insights and make informed decisions. Learn more about how you can tap into the power of data science through predictive
One of the chief data officer’s primary responsibilities is to support the company’s strategy for monetization. Learn how investing in essential technologies can help your team create a data strategy that aligns with your organization’s monetization strategy to empower the business as a whole.
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
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.
Discover some of the latest and greatest developments in the world of Apache Spark in this retrospective on Spark Summit Europe 2016. When you do, find out how modern developers are connecting their data sources to Spark in exciting ways, and learn how the cloud is providing access to Spark-powered
The complexity of multiple data sources contributing to the rising tide of data has executives at many enterprises up at night because of concerns involving risks, regulations and compliance. See why information governance is especially vital in today’s complex ecosystem of voluminous data sources
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.
Automation can be a great solution for highly manual processes, but its implementation has its detractors. Can robotic process automation be successful in providing an artificial intelligence solution that includes machine learning for further streamlining typically manually intensive processes?
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
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
IBM Insight at World of Watson 2016, 24–27 October 2016, at Mandalay Bay in Las Vegas, Nevada, is the only place to be for people who work with data. Take a look at this list of top-ten reasons you wont’ want to miss out on one of the most intriguing and innovative events of the year.
Nancy Hensley, director of offering management for IBM Analytics speaks with Rob Thomas, vice president of development for analytics, at IBM, on the subject of business transformation, leading to a discussion of the data maturity curve.