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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Let me suggest that while the technologies of the Semantic Web are relatively easy, semantics are hard. Pragmatics -- a deeper cognitive understanding of the unique context, perspective, and intent of an individual interacting with the Internet -- represents an even greater challenge.

To keep up, I follow a number of enterprise architecture group discussions on the Internet. The most common questions I've encountered in these discussions revolve around communication: (1) how do you communicate with the business management and (2) what do you communicate to business management? Clearly, these are major issues affecting all EA groups.

I've been working on a report covering complex event processing (CEP). One of the more interesting developments I've found regarding the application of CEP is that some organizations are implementing the technology in conjunction with BI to create advanced real-time analytical systems.

How much e-mail do you get? If you're like most IT professionals, it's probably dozens, maybe even hundreds, of messages each day. Some of these messages even have real business value. More and more today, companies are using e-mail for operational purposes and customer communications (think mail order or travel reservations).

Last week, Equifax Inc. picked Greenplum's analytic database and Enterprise Data Cloud (EDC) platform to power its company-wide advanced analytics initiatives (for more about Greenplum's Enterprise Data Cloud, see my 16 June 2009 BI Advisor, "Greenplum's Enterprise Data Cloud").

In the first of this two-part Executive Update series, we discussed the purpose and the contents of the project start architecture (PSA).1 Here in Part II, we discuss some specific situations and provide examples.

PSA IS A HIGH-LEVEL DESCRIPTION, NOT A COMPLETE SOLUTION ARCHITECTURE (BLACK BOX VS. WHITE BOX)

The standard ISO/IEC 42010:2007 provides a generally accepted definition of architecture:

BA & SEE EXECUTIVE UPDATE VOL. 11, NO. 8

Many practitioners recognize that IT governance is the cornerstone in achieving success when it comes to creating and delivering the right business value for their enterprises. In other words, IT governance is the key to business and IT alignment.