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 recent announcement that NATO and the US Pentagon were retracting a statement reporting that Taliban attacks against coalition forces in Afghanistan had declined (in 2012) is a good reminder of just how important training and data quality are when it comes to analytics and decision making.

Abstract

Architectures and associated change programs are increasing in complexity.

The architecture of an enterprise is complex. Enterprise architects must understand and manage complex issues and concerns on a day-to-day basis.

In his landmark blog post, "My agile testing project," Brian Marick provided a model for agile testing.

With the continued adoption of TOGAF as the industry standard EA framework, many organizations are struggling with how to get started and how to adapt TOGAF to fit them.

While the term "Big Data" continues to encroach on the common vernacular, it's important to understand the drivers of the phenomenon, its possible value, and also its potential for misuse. Many of the "misuse" examples come from areas of privacy and ethics, but there is also the potential for misuse that is just bad business.

Part I of this three-part Executive Update series explored the concept of Big Data and some of the privacy concerns associated with it.1 Here in Part II, we examine some of its legal impacts, with particular attention paid to energy usage, protected health informatio