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
Gottfried Leibbrandt, chief executive of the Society for Worldwide Interbank Financial Telecommunication (SWIFT), declared that he is going "on the offensive against cyber criminals." With the recent spate of cyber attacks on banks including an 81 million heist we are in dire need of a tight
Advanced analytics can help law enforcement officials across jurisdictions assist one another in predicting and preventing criminal activity. In particular, analysts, investigators and detectives can collaborate to share information to help detect threats and identify criminals.
Avoid the productivity drain and customer frustration caused by content fragmentation. Keep the courtship period with customers alive by ensuring employees have unfettered access to enterprise content that can keep the customer experience harmonious. See how in a new IBM Enterprise Content
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.
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
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
Is your business able to manage and analyze your data? Learn how this IBM platform can allow you access to an expansive set of data and analytics services to help drive business decisions in an open and managed process.