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.
Recently Published
During this on-demand webinar, William Ulrich helps you expand the value proposition of your business architecture to facilitate strategic planning, address executive priorities, deliver customer value, leverage investments in major initiatives and deploy horizontal solutions across business units.
In February and March 2010, Cutter Consortium conducted a survey that asked 99 end-user organizations about their various data warehousing, BI, and other analytic technologies and practices. One set of questions sought to determine corporate adoption and usage trends for high-performance analytic databases.1
The recently published Information Systems Transformation: Architecture-Driven Modernization Case Studies, which I wrote with Philip H.
Several readers have contacted me asking how complex event processing (CEP) and other streaming analytics systems compare to BI and real-time analytics, such as business activity monitoring (BAM). This is a logical question, given that CEP and real-time BI and data warehousing are sometimes spoken of together.
Abstract
Service-oriented architecture (SOA) and agile software development have both evolved in recent years toward a combined concept of enterprise agility. Coming from different environments and differing in requirements, they are nonetheless founded in many of the same principles. Bringing them together, however, requires some changes to both.
Recent years have shown a range of vital changes to core IT concepts, resulting in evolutionary developments from cloud computing to enterprise risk management. In particular, in the area of software development and deployment, agile development methodologies and service-oriented architecture (SOA) have seen wide-scale implementation in response to the need to embrace rapid change to business conditions.