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.
Insight
New Year's Fears
As enterprise architecture (EA) programs mature, I'm seeing a shift in focus toward business architecture. This is something that I see both with my own clients as well as across the industry. For example, one client that has a relatively mature EA program is building expertise and adding more head count in business architects.
What About Grid Computing?
In response to last week's Advisor on important BI and data warehousing trends for 2007 (see "BI Trends and Developments to Watch for in 2007," 2 January 2007), one reader inquired as to my thoughts on grid computing architectures, in general, as well as the use of grids for data warehousing and BI.
EA New Year's Resolutions
In 2006, I started out the year's Advisors with some suggestions for New Year's resolutions. I know how busy things can get around this time of the year, so in keeping with this popular feature and as a continuing service to Enterprise Architecture Advisor readers, here again is a list of ready-made resolutions that you can adopt for 2007.
In his 19 December 2006 Business Intelligence E-Mail Advisor, "Business Performance Management Demands Data Profiling," Cutter Senior Consultant Curt Hall recommends organizations perform a data quality audit of their operational systems prior to conducting a business performance management initiative.
Service-Oriented Architecture: Development and Ownership
This is the last of a series of four Executive Updates in which I examine the results of a Cutter Consortium survey on service-oriented architecture (SOA). In this final Update, we shall be looking at the favorite products and vendors for SOA development, security, mainframe connectivity, and Enterprise Service Buses (ESBs). We shall also find which dynamic lookup techniques are preferred and see how organizations allocate and share responsibility for the administration of SOAs.

