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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I was saddened to hear that computer industry pioneer Ken Olsen, founder of Digital Equipment Corporation (DEC), died on Sunday, a few weeks shy of his 85th birthday.

Software estimation is still a gray area despite lots of research material, articles, and books. Some consider estimation an art; some a science. Others consider it both. Agile estimation has been no exception, and there is high level of debate about the ways in which it is done. Questions have been raised about the lack of scientific evidence as well as application in real-life projects and challenging scenarios.

Last October, I discussed in an Advisor developing trends pertaining to social media monitoring and analysis (see "Psst ... Listen in as Some Business Tune in to Social Media," 5 October 2010).

In designing and documenting architectures, be they business, data, application, or technology architectures, enterprise architects are prone to focus first and fore­most on the objects that compose the architecture in question. This is both human nature (nouns before verbs) and a logical approach to design. For example:

Back in December, when I offered predictions concerning important BI trends I saw for the New Year, I said that adoption of data mining and predictive analytics would experience steady growth in 2011, just as it has over the past 10 years or so (see "What Lie

Abstract

The Adaptive Project Framework (APF) is an umbrella framework that encompasses all project management methodologies. APF has two distinct parts. In the project setup, a decision is made as to what is the best-fit management methodology and how it needs to be adapted for the project at hand.

The accompanying Executive Report establishes the Adaptive Project Framework (APF) as an umbrella framework that encompasses all project management methodologies.

Anyone who's surfed the Internet in the last few years has likely run across an online ad that started like the headline, above. Generally, the ad is a front to some "silver bullet" so-called "solution" to a nagging problem.