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
Recent developments have brought together parallel processing and cloud computing technologies in such a way that they are set to change the way organizations look at analyzing massive amounts of data. In fact, I believe that these developments hold the promise of ushering in a new era in high-end, affordable data analysis.
After the publication of Part I of my two-part Executive Report series1, 2 on release management, I received some comments. Some of the issues mentioned could be seen as symptomatic of each organization that deals with release management.
They say "What doesn't kill you makes you stronger," and perhaps this is true for architects as well. I recently went through an experience that all architects and IT professionals should go through occasionally, but not too often. An insipid virus infected my computer, having evaded the defenses of my firewall/security product and, slowly but surely, rendered my laptop useless.
At the beginning of the year, I said that the most important BI-related initiative for organizations in 2009 would remain business performance management (see "Business Performance Management Tops '09 Strategy List," 6 January 2009).
Service-oriented architecture (SOA) is often approached as very much a technology-centric initiative. However, while SOA infrastructure and technical design both have vital parts to play, they must be judged at the end of the day as enablers of business improvement. A good SOA is only as good as the business knowledge that goes into its construction.
In the last Trends Advisor, I wrote about the increasing interest in "semantics" among the leading-edge software folks (see "Semantics Is Hot; Data and Objects Are Not, Part I: The Emergence of the Semantic Web," 19 March 2009).