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

This Executive Update is adapted from Chapter 15 of our book Global RFID: The Value of the EPCglobal Network for Supply Chain Management (Springer-Verlag, 2007).

The late author and media commentator Marshall McCluen famously said, "The map is not the territory." If he were alive today, he might be saying, "The satellite photograph (or Google Maps/Earth) is not the territory!" But if you put these together, you are getting pretty close to being the virtual reality of the territory.

When a new service-oriented architecture (SOA) or enterprise architecture (EA) book hits the shelves, I usually check it out, and when it looks interesting enough, I get a copy. The book Business Rules Management and SOA: A Pattern Language by Ian Graham particularly intrigued me.

In 2006, I discussed corporate adoption trends regarding the use of open source BI tools, open source operating systems, and open source databases for data warehousing and BI applications (see my BI Executive Updates "BI for 'Free':Open Source BI Tools Adoption Trends," "Corporate Attitu

In the past five Advisors in this series (see sidebar), I have shared with you my experience in dealing with various aspects of delivering a service-oriented architecture (SOA) right. I have presented a number of best practices that practitioners are using effectively in multiple SOA initiatives.

Although the use of radio frequency identification (RFID)-enabled supply-chain applications has received a fair amount of attention as a possible source of BI, few organizations today are currently integrating RFID data into their data warehouses and BI environments for analysis purposes.

 

Much has been written about enterprise architecture (EA) and service-oriented architecture (SOA). And success with each is dependent on the other.

 

The accompanying Executive Report discusses the four stages of enterprise architecture (EA) maturity and describes methods used to identify potential standardized processes for evolving to the later stages of EA maturity as well as ways to develop a strategic model from business plans and ways to derive project