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

One common aspect of an enterprise architecture program is the use of an EA repository. While this can be an important and integral part to the value that architecture brings to an organization, it can also be a trap. Like most business solutions, technology alone is never the answer.

Approximately 24% of end-user organizations indicate they are using data mashups to feed BI, customer relationship management (CRM), and other decision-support applications with data from multiple sources.

For most of my adult life, I have been perplexed by a Pavlovian phenomenon: whenever I, as an engineering manager, released code to manufacturing, 1 the marketing folks reacted by conducting a three-week worldwide analyst tour. As much as I appreciate good public relations for my products, I viewed this phenomenon as a mystery that I might one day solve, perhaps when I retire.

Let's role-play. Pretend that you are either starting a new company or -- with the help of a magic wand -- completely reengineering the technology delivery model at your current company. What do you do? Here are 10 steps to follow.

Many organizations struggle with getting practical business results from their service-oriented architecture (SOA) projects. In this Executive Update, we examine pragmatic approaches for joining SOA with your solution projects.

For most of my adult life, I have been perplexed by a Pavlovian phenomenon: whenever I, as an engineering manager, released code to manufacturing,1 the marketing folks reacted by conducting a three-week worldwide analyst tour.

Here's an interesting finding: approximately 18% of end-user organizations indicate that they are using or developing embedded or "process-aware" BI analytics.