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

Enterprise mashups increasingly are becoming part of companies' toolkits when it comes to integrating data for BI and other decision-support applications.

Cloud computing and software as a service (SaaS) are two very strong "disruptive" innovations that are changing the IT landscape forever by providing services to a large number of independent customers. SaaS and cloud capabilities are a best-fit model and an attractive option for companies that look to deploy state-of-the-art technology while conserving capital resources. A robust, trusted software infrastructure offers key technical elements that deliver these assurances. One key requirement is to enable multi-tenancy.

Like most agile-lean enthusiasts, I regularly attend interest group meetings in my area. When discussing test-driven development (TDD) at some recent gatherings, some folks commented that they have very senior developers within their teams who claim to have become so proficient with TDD that they can actually skip the test-coding step. These developers go straight to implementing the feature because the discipline is so well imprinted in their heads that they can do it all mentally.

Como muchos entusiastas en agile-lean con frecuencia atiendo juntas de grupos de interés no lejos de casa. En algunas de las juntas recientes hubo discusiones sobre TDD (del Inglés test-driven development: desarrollo basado en pruebas), donde algunas personas comentaron que sus equipos cuentan con desarrolladores tan expertos en TDD que hasta pueden saltarse el paso de escribir pruebas primero y en su lugar programar la característica directamente porque tienen la disciplina bien metida en su cabeza y pueden hacerlo mentalmente.

Enterprise architects often ask me why the Business Enterprise Architecture Modeling (BEAM) EA approach is based on an "urban/transportation model" rather than the "building architecture model" favored by many organizations and groups. The short answer has to do with the similarity of the model to actual enterprise architecture in both change and complexity.

If you don't know what cloud computing is, then you probably need to brush up on your buzzwords. The term was coined in 1997 by University of Texas researcher Ramnath Chellappa, and it took a decade for it to really catch on.

The use of open source BI and data warehousing tools continues to gain increasing acceptance by end-user organizations. But one of the big questions on a lot of people's minds is: what effect is open source BI adoption having on traditional BI software licensing?

In June and July 2009, Cutter Consortium conducted a survey that asked 79 end-user organizations about their various BI and data warehousing efforts. One set of questions sought to determine the impact of the economic downturn on BI and data warehousing spending.