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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Insight

"So when you come in here to help us start with agile, we also expect to benefit from your collection of best practices you must have as a consultant" is one of the more frequent client expectations we have to disappoint. "We don't have best practices," we answer, "and we don't think it's a good idea to have them."

Judging from the regular press, one might get the impression that Microsoft doesn't stand a chance when it comes to tablet computing.

The proliferation of mobile devices for business use, in part fueled by the popularity of the "bring your own device" (BYOD) strategy, is helping drive corporate interest in enterprise app stores. To date, however, adoption of enterprise app stores has been limited for the most part to larger organizations.

By the time you get to the bottom of this Advisor, you will have at least three new ideas on how to get people engaged in your meetings. That's a powerful suggestion. In fact, the only reason that some of you continue to read this is because I just made that promise.

The "conversation" paradigm of agile methods provides a quantum leap in terms of the philosophy of managing IT projects. A crucial element that beseeches discussion in agile projects is not just what to measure or not to measure but, in fact, whether to measure at all.

A common question asked by organizations that are defining their architecture programs is: "What should architecture look like?

Abstract

Today's data production occurs at a faster and faster rate.

More and more volumes of data are being created at increasingly fast rates. The variety of information available to use, especially on the Internet but also within an enterprise, is growing.