J White Bear is a data scientist and software engineer at IBM. In this podcast, White Bear discusses simultaneous localization and mapping, an ongoing research area in robotics for autonomous vehicles and well-recognized as a nontrivial problem space in both industry and research.
Today’s businesses need a culture of collaboration that empowers knowledge workers to glean cognitive insights from data that help transform and modernize operations. See how cloud-based platforms and solutions enable data scientists and other experts to exploit artificial intelligence, machine
Elderly care is on tap to be a critical need in the coming decades. See how Caregivers.com is using cloud computing and mobile technologies to provide greater choice for families and higher wages for in-home caregivers.
Look for IBM to launch the on-premises version of its enterprise performance management solution, IBM Planning Analytics, at for IBM Insight at World of Watson 2016. Check out the new features and business benefits of this new release of a leading-edge financial and operational performance
Data is widely seen as the new source of competitive advantage, driving smarter decisions and helping enterprises outthink their rivals. But opportunities are often missed. Getting the data needed from multiple underlying systems can take far too long for application developers, business analysts
Volumes of data generated from a variety of sources can be a challenge to wrangle. Take a look at the advanced Design Data Flow beta capability of IBM Bluemix Data Connect that enables consumption of large data volumes from disparate sources, which can then be curated for deriving insights and
Many of us might be surprised to learn that some of the most familiar brand names around started off with other names. IBM recently renamed IBM DataWorks—its flagship, self-service data preparation offering—to IBM Bluemix Data Connect. Get a glimpse of it in this brief overview, and discover how
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.
Advances in tools and the capability to work with cloud-based data sets are dramatically changing the nature of data science workloads. Take a look at one data scientist’s quest to learn more about performing data science analysis in the cloud.
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.
Sooner or later, you will likely adopt a hybrid cloud. Regardless of how you arrived at that point, you realize that you need to understand how to deploy and manage a mixed environment efficiently—and you have to do it soon.
This podcast features Doug Thompson, executive architect, Information Governance and master data management (MDM), at IBM, who discusses the various factors that make data integration challenging and how one can overcome them. Thompson also shares his views on hybrid- and cloud-based data
If you want to impress your Sunday night dinner guests with a satisfying culinary outcome from a new recipe, you wouldn’t shop willy-nilly for ingredients. The same goes for that governance or master data management initiative you need to get underway on Monday morning. When considering such