Whether organizations want to extract customer data beyond names and addresses from unstructured data sources; pull specific dates, times or monetary amounts; predict trends from sentiment data; or engage in many other uses, text analytics is the way to go. Learn the details of text analytics, and
A growing number of businesses and industries are finding innovative ways to apply graph analytics to a variety of use-case scenarios because it affords a unique perspective on the analysis of networked entities and their relationships. Gain an understanding of how four different types of graph
Understanding data and data relationships is particularly vital in the energy and utilities industry. Discover how industry data models serve as blueprints for defining structures that provide a broad, in-depth view of business, and how they helped one energy and utilities organization extract data
By using predictive analytics, providers can use real-time data to see risk factors that previously went undetected. Armed with this information, healthcare systems can then intervene and hopefully change the course of the patient's future health.
Heating-fuel delivery to rural customers in the US can be greatly inefficient when deliveries are made to half-full tanks. The practice can be costly for both the supplier and the customer. Take a look at one solution that utilized Internet of Things sensors and analytics to monitor fuel levels and
The really cool thing about big data and multiple data sources for today’s advanced, web-based applications is that a variety of open source databases can provide specialized support for different application components. If you’re involved in application development, discover why achieving polyglot
The latest release of IBM DB2 for Linux, Unix and Windows (LUW) is generating lots of excitement. Following on a recent post highlighting the recent release, take a look at the robust set of advances, enhancements and new features available in DB2 LUW Version 11.1.1, particularly those that advance
Spark just seems to be getting big play everywhere in the technology arena. What is Spark? And do you need it? Get a good glimpse into its in-memory execution capabilities, some of its key components, its integrations and its availability as a service.
Evolving Internet of Things technology is paving the way for ongoing innovation—from smart thermostats and smart cars to other smart devices—through continuous access to its data streams. And while ongoing access to that data inspires the magic behind Internet of Things solutions, it also offers an
Social media has taken the retail industry on an extraordinary, tangential path for gaining a deeper understanding of the consumer. See what several big data experts have to say about the impact social media data and analysis of customer conversations have on the consumer experience.
In the past few years, we’ve seen an explosion in the number and variety of organizations that are adopting big data technologies such as Hadoop and Spark and the recent trend to leverage data services in the cloud. How are enterprises coping?
Does enterprise IT in the government sector need to be so complex? Maybe not. Find out how advancements in cloud computing, open data initiatives and valuable lessons learned from smartphones and the app store model can transform analytics workloads in enterprise IT for government agencies.
Metadata and governance might not have a long history of setting hearts ablaze, but those who are recognizing their importance to self-service are looking to metadata to help organizations fully leverage a wide range of assets across the business. Discover why metadata and governance are taking a
The open source Hadoop framework accommodates distributed storage and processing of large data sets on clusters of computers through the use of programming models. If that description sounds complex, then dig into this breakdown of Hadoop components to gain an understanding of just how flexible
See how Hershey’s Brazil implemented IBM Cognos TM1 as the basis of an enterprise planning solution enabling enhanced analysis of sales and customer data to identify key value drivers and increase profit margins. And, get the full, inside story from The Hershey Company at IBM Vision 2016.