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.

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The Industrial Internet is well underway. Connected-machine technologies and practices are inspiring companies across a broad range of industries to develop innovative applications and services that transform the way they operate and facilitate widespread collaboration and knowledge sharing -- from the factory floor to C-level executives.

Though there are tons of material on the importance of feature teams in an Agile setting, the dominant way to structure teams in most organizations I run into is still based on components. Usually there are good reasons for this -- specialization being one of the major ones.

As the Internet of Things (IoT) continues to gain acceptance over the next few years, the huge volumes of data generated by sensor-enabled devices, processes, people, and machines is going to offer incredible opportunities for data collection, analytics, and automation.

The goal of the "create and test" phase of mobile application development is to translate the needs and goals that are driving the desire for a mobile application into a loose plan to produce a "minimum viable product," or MVP. In this Executive Update you'll discover that Lean and Agile methodologies can provide powerful tools to set the stage for the mobile app, and especially for keeping in check the natural inclination to focus on the imagined final product.

This Executive Update uses examples and case studies to show how organizations can employ enterprise patterns as a key EA management tool in five areas of enterprise transformation: 1) deciding direction, 2) evaluating options, 3) choosing priorities, 4) guiding change, and 5) demonstrating value.

In this Executive Update we present a blueprint for leveraging cloud technology to improve patient healthcare management.

 

Given the major importance and impact of nonfunctional requirements (NFRs) on an operational system, it's worth focusing a bit more on them in the context of infrastructure and maintenance. These NFRs (often called "operational" requirements for obvious reasons) describe the many parameters of a system as it becomes operational.

"Technical debt (also known as design debt or code debt) is a neologistic metaphor referring to the eventual consequences of poor system design, software architecture or software development within a codebase.