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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Despite operating in a period of economic uncertainty, the majority of end-user organizations have either increased spending on their BI and data warehousing initiatives in 2010, or their spending has remained constant.

In February and March 2010, Cutter Consortium conducted a survey that asked 99 end-user organizations about their various data warehousing, BI, and other analytic efforts.

Un cliente potencial del sector financiero me contactó hace unos meses para preguntarme acerca de la adopción agile. Ellos querían determinar si se deberían adoptar Scrum o TSP/PSP.

I was approached a few months back by a potential customer from the financial sector to ask me about agile adoption. The organization wanted to determine whether to go for Scrum or for Team Software Process/Personal Software Process (TSP/PSP).

Many enterprise architecture (EA) departments struggle with the transition of EA to projects. The issue is how to make sure that EA deliverables are actually used. The idea is simple: project start architecture (PSA) provides a relevant summary of EA artifacts to projects. The value of the PSA is to ensure that the results of each project will adhere to the overall architecture and blend with the IT landscape.

Everyone knows estimating work in IT can be difficult.

Whenever you ask an IT expert for an estimate, the sequence of events can look like this:

While many users may join Facebook, Twitter, LinkedIn, and other popular social networks in the hopes of connecting with other users of similar interests, the majority of these social networks are actually leading to the foundation for the 21st-century collaborative enterprise.

In December, I said that, to the best of my knowledge, MapReduce [1] -- the "non-SQL" data-crunching programming model -- and its open source implementation, Hadoop, were being used primarily by such Internet companies as Facebook, Google, and MySpace to optimize their online operations, as opposed to being used by more traditional enterprises looking for a way to support their data analysis capabili