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

With significant input from fellow Cutter Consultant Ken Collier, I recently wrote an article called "The Agile Triathlete" that discussed how becoming skilled at test-driven development (TDD) was analogous to becoming a skilled triathlete.

Abstract

Data integrity and confidentiality have long relied on a combination of network- and application-based security. As enterprise architecture (EA) becomes more complex, data is progressively more integrated within massive data warehouses and distributed architectures.

Abstract

Barriers to the continual refinement of today's traditional search engine model are looming as the Internet continues to grow exponentially, as the information signal-to-noise ratio continues to shrink, and as we embrace the emerging Web 3.0 era, which is characterized by semantically linked data.

I've been thinking quite a bit about the word "static" and how it might be used to describe some aspects of the Information Age in which we live. Static is an interesting word, having more than one meaning when used in different contexts.

Have you overseen or been part of a successful agile pilot that was followed by several lukewarm agile adoptions? Has agile been very successful at the tactical level but caused so many problems as it spread inside the organization that it was eventually dropped or changed beyond all recognition?

Abstract

Open source software (OSS) is becoming increasingly important within the enterprise as it moves out from its original base within the IT infrastructure and server environment.

Domain

System architecture

Assertion 186:

SOA has reached a tipping point in organizations' abilities to deliver business value.

In my previous Advisor ("Defining Architectures for the Cloud, Part I," 23 September 2009), I looked at the enterprise architecture domains of business, information, and application and how cloud computing would affect those areas.