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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Experience has shown that agile data warehousing (ADW) can be a double-edged sword when viewed from the program level or the perspective of a data warehousing/business intelligence (DW/BI) director.

Nearly a year ago, I reported that advancements in virtualization technology have made virtual desktop environments much more practical and that this will facilitate broader mainstream adoption of desktop virtualization by end-use

Cisco and Microsoft are betting big that they can create collaborative toolsets compelling enough that people (i.e., customers, developers, employees, investors, and regulators) would deem an enterprise crazy to not be Cisco/Microsoft-enabled. On the flip side, a barbarian hoard of entrepreneurs, ISVs, and venture capitalists are betting these vendor giants will not be completely successful. A fascinating David vs.

I happened across a really interesting exhibit on industrial design at the San Francisco MOMA last week.

A recent survey conducted by Cutter Consortium helps shine some light on corporate spending trends for text mining and analysis as well as organizations' overall attitudes toward the importance of having the capability to analyze unstructured data.

Abstract

Agile data warehousing delivers powerful BI applications in the shortest time frame possible, yet coordinating multiple fast-moving BI te