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

Successful organizations have a dilemma. Should they continue growing what is making them successful, or should they disrupt the market that they are successfully leading? What if they choose to grow their current business and later get disrupted by an upstart innovation? Or what if they disrupt a successful business too early? What if they overestimate the potential of an external disruption?

The Internet of Things (IoT) as a topic of interest is arising again, and with good reason. The IoT envisions a world in which all devices are attached to the Internet, providing enormous possibilities in control, data acquisition, and, most importantly, analysis.

Abstract

Hadoop has generated considerable interest among mainstream organizations, but many have encountered difficulties in determining suitable applications in which to apply it in order to obtain business value.

Traditional enterprises have been very interested in using Hadoop. But until recently, they have been hampered by a lack of suitable uses case for applying it.

In his recent Cutter IT Journal article "Out of the Gate & Running Wild: Why There's No Stopping IT Now," Cutter colleague and Fellow Steve Andriole foresees and foretells a new kind of equipoise between IT and the business units it supports.

Natural resources are precious and in limited supply. Business environments are inherently complex and unpredictable. As we face these and other constraints on our ability to manage change, is it possible to produce sustainable enterprise architectures?

Data exploration is an attractive use case for traditional enterprises seeking to capitalize on Hadoop's extreme processing capabilities.

Big Data is difficult to define precisely, yet we all seem to know it when we see it.