Strategic advice to leverage new technologies
Technology is at the heart of nearly every enterprise, enabling new business models and strategies, and serving as the catalyst to industry convergence. Leveraging the right technology can improve business outcomes, providing intelligence and insights that help you make more informed and accurate decisions. From finding patterns in data through data science, to curating relevant insights with data analytics, to the predictive abilities and innumerable applications of AI, to solving challenging business problems with ML, NLP, and knowledge graphs, technology has brought decision-making to a more intelligent level. Keep pace with the technology trends, opportunities, applications, and real-world use cases that will move your organization closer to its transformation and business goals.
Insight
Events are usually associated with process control systems and other applications that function in a dynamic manner. The team revising the Object Management Group's UML notation has gone to quite a bit of effort in creating the new 2.0 version of UML, to separate event or state diagrams from activity or workflow diagrams.
Michael Porter, in his important book, Competitive Advantage: Creating and Sustaining Superior Performance and in several Harvard Business Review articles that have appeared more recently, has argued that companies achieve competitive advantage by creating large-scale processes that are so well integrated that com
Wireless business intelligence (BI) consists of delivering data access and analysis to mobile corporate users of cell phones and other Web-enabled devices, including PDAs such as Palm, RIM, and Windows CE handheld platforms that are now popular among business professionals and other mobile workers. Today's wireless BI applications may provide two types of capabilities that offer varying degrees of interactivity: push and pull.
Much has been made about the need for companies to obtain a complete, "360-degree" view of their customer data (i.e., to be able to access, integrate, and analyze pertinent data across their most important customer channels) in order to apply customer relationship management (CRM) across the organization.
