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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As a conceptual tool, enterprise architecture (EA) can assist IT organizations with their understanding of their own structure and the way it works. To begin applying EA concepts within an IT organization, an EA content framework has been defined with various models that describe the enterprise architecture. This framework defines a set of models along four dimensions:1

Several weeks ago, a reader contacted me regarding a BI Advisor in which I said that I'd noticed a growing interest by end-user organizations in using data mining technology -- particularly for predictive customer analytics (see "How Do Your Data Mining and Predictive Analyti

B & EA EXECUTIVE REPORT VOL. 13, NO. 5
  

In the accompanying Executive Report, we consider the pressures on organizations to master the art of change and present a fractal metaphor for the tandem role of strategy and architecture. This metaphor derives from Amazon CEO Jeff Bezos's observation that strategy happens fractally at Amazon -- set at different scales throughout the business. Strategy is a mechanism for business leaders to create coherence of purpose and identity among organizational elements and to create cross-organizational synergies.

Abstract

Today's BI providers struggle with lightning-fast data mining and presentation -- two things that sports intelligence providers have mastered. The announcer's teleprompter and on-screen graphics prove that information can be both instantaneous and engaging.

After decades of attempting to reach end users, business intelligence (BI) vendors and user organizations need to rethink what the intelligence is for, who it is for, and how to best serve that end user.

Abstract

Cloud computing and agile development are complementary concepts that have come together in myriad ways to aid in the rapid development and deployment of software to meet real business requirements. Both are currently in a state of evolution, which is creating interesting synergies as the enterprise IT environment continues to advance.

Agile development and cloud computing represent two recent evolutionary trends that have become important components of the emerging IT environment. Both represent responses to similar pressures that have resulted in what might be termed a "tectonic shift" in technology, and both signify the current phase of an extended revolution. The fact that they should fit so easily together, then, should be viewed with little surprise.