Reimagine the data science experience as an open experience with this IDE, which aims to facilitate a full range of development tasks, from data acquisition and data mining to prototyping and programming. When you do, discover how you can use Apache Spark and R to pursue open analytics by building
Flight delays because of weather are inevitable for frequent flyers and infrequent travelers alike. Fortunately, we are living in an era in which applications such as the flight predictor app can be quickly and cost-effectively designed, built and tested to stay abreast of useful information for
A world that grows increasingly complex calls for disruptive innovation in an open, collaborative environment. See how open data science provides an ecosystem of expertise, skill sets and advanced open source data science tools that fuels collaborative creativity in the development and deployment
How do you handle your semi-structured data? In this whitepaper from IBM Cloud Data Services, find out how keeping your data warehouse on the cloud can help you gain the competitive advantage by freeing valuable resources.
Use open-source tools to supercharge the data science lifecycle, giving data science teams a boost as they work to provide compelling results in the complex team environments that mark modern corporations. Learn how you can make open data science an ongoing part of your business environment when
A marked shift toward business participation in technology conversations couldn’t be more evident than it is to an industry analyst. Gain an analyst’s perspective on how customer-facing, content-rich processes for achieving customer loyalty are now the order of the day.
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
The application of analytics and capturing information inside business documents can lead to all sorts of information for running smarter, faster and highly competitive businesses. Take a look at a few examples of how a workflow can dramatically change where and how information is collected and
Keeping customers at the center of the business is essential. Fulfilling this promise requires keeping up with demands for real-time communication and a seamless customer experience. And document capture cognitive technology offers decision data automation to make seamless customer experiences a
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.
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
This short series of blogs for the business user is designed to turn key technologies into easy to understand concepts to help explain why they are needed in a modern digital enterprise. When looking at consumer and business transactions in today’s online world, many people may ask, “Why big data