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
Today's data production occurs at a faster and faster rate. The volume of data available within an enterprise -- and externally to it -- is phenomenal. As a consequence, the role of information architecture is changing, from the passive structuring and managing of data to a smarter, more active role of information effectiveness.
At the risk of gross simplification, when it comes to dealing with too much data, architecture needs to address two concerns:
Thanks to some initial findings from a recent Cutter survey, we now have a better understanding of the extent that organizations are actually implementing (or planning to implement) enterprise app stores.
Many still perceive agile development methods and CMMI best practices as opposite ends of a continuum. These misconceptions originate, in part, from a lack of accurate information. This Executive Update proposes noninvasive measurement as a technique to collect data about the agile software development process.
Advisor
When Things Don't Fit
Coherence is a highly desirable characteristic of every human enterprise. Everything should "hang together" and be "true as a whole," to quote common dictionary phrases. Yet one of the most frustrating and disturbing aspects of working life is that everything doesn't hang together and isn't true as a whole. Most things only "sort of" fit -- if they fit at all. Gaps and inconsistencies abound. Assumptions must constantly be made. Confidence is hard to muster.
The realm of Big Data is described by volume, velocity, and variety. Volume and variety have frequently been discussed, centering upon support for Hadoop and MapReduce. Volume, of course, refers to the sheer size of data sets, and variety is mainly about the increasing need to analyze unstructured data.