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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There's a brand-new layer of digital intelligence being conceived upon the world's century-old electric power grid by way of your regional electric power utility, through your new smart meter, and extending into your future home and business energy management systems and smart appliances. It's called the Smart Grid.

The Electric Power Research Institute defines it as follows:

In August, I said that we are seeing an increasing number of organizations developing mobile BI applications (see "Mobile BI Comes of Age," 10 October 2010).

"I really like these agile ideas and our pilot project was quite successful," an executive told me recently, "but now it comes to transforming the organization, and we must not be dogmatic here.

I've written lately about movements in the architecture community toward certification and toward EA as an official profession. A related movement is the emergence of EA in academia. Currently, the list of EA programs offered by universities is rather small, but it is growing.

I've been checking out the new BI search1, 2 platform from Endeca Technologies: Endeca Latitude. Latitude is based on a hybrid search/analytical database designed to provide nontechnical end users with self-service BI exploration capabilities.

This is the first in a series of three Executive Updates that examines enterprise architecture (EA), its organization and programs, practices used, and the effectiveness of EA, all based on a recent Cutter Consortium survey.

A few years ago, when applications started exploding into collections of services -- in the service-oriented architecture (SOA) sense -- a challenge that soon appeared was the number of new skills that an IT architect needed to succeed in this new world. With Web-based collaboration platforms, such as the one just described, we will face the same issue.

It's no secret that corporate use of social media as a valuable source for better understanding and engaging customers is still fairly limited at this time. Likewise, current usage of data acquired from social media sites to bolster corporate BI efforts is also quite limited.