Data scientists and others often encapsulate big data by its dimensions known as the four Vs: volume, variety, velocity and veracity. But when considering big data as a source for insight to enhance decision making, it may be best characterized by its three Cs—confidence, context and choice—with
Download an ebook that gives detailed information for building an app that can not only predict flight delays caused by weather conditions, but also provide the degree to which flights will be delayed.
Machine learning is finding its way into a variety of applications. Discover an open source machine learning platform that combines the data processing power of Spark with powerful machine learning algorithms courtesy of the H2O platform to tackle challenges technologists face when applying machine
One of the biggest challenges for retailers has always been scaling great customer service, specifically how to better personalize in-store experiences. By combining data analysis, the Internet of Things, cloud and mobile technologies, retailers can make this level of personalization a reality for
The connected nature of the digital era empowers energy and utility consumers to choose their providers and actively manage and monitor consumption. And energy and utility providers face new challenges to provide the services consumers demand and retain loyal customers. Learn more about a
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
Across the rail and freight logistics industries, traditional approaches to asset utilization are shifting to accommodate a data-driven and proactive future where analytics and data insights provide companies with greater returns.
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.
Customer relationships built on loyalty and trust are extremely important for wealth management industry organizations. Advanced data and analytics help financial institutions drive tangible business results based on retaining long-term customers and understanding their behaviors, needs and
Businesses can benefit enormously from analysis-derived rules that enable understanding why certain events occur and the corresponding actions to take. Learn more about a widely used six-phase methodology for building predictive analytics models that can reveal hidden rules for meaningful business
Open source is a disruptor that never quits, and it is seemingly penetrating and transforming every aspect of established data, analytics and application ecosystems. Give this podcast, recorded at IBM InterConnect 2016, a listen to learn how open source initiatives are transforming machine learning.