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.
Marketers looking to expand their customer base and achieve retention continually contend with cognitive era challenges of rising data influxes from disparate sources. To cut to the chase, what they really need is a tool that predictively and prescriptively offers the means for recommending next-
Open source is a disruptor that never quits. It seems to be penetrating and transforming every aspect of established data, analytics and application ecosystems. In this podcast, recorded at IBM InterConnect 2016, listen to David Taieb, a cloud data services developer advocate at IBM, share his
Find out how cognitive capabilities supplied by IBM Analytics solutions helped the Tennessee Highway Patrol promote traffic safety across the state, enhancing the driving experience for Tennesseans everywhere.
Business professionals need answers to critical questions that bolster the accuracy of predictive forecasting. And forecasting is a vital approach for a number of business measures including product demand, revenue, sales and more. Discover why predictive forecasting is essential for any line of
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.