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
For the past several months, I have commented on various open source business intelligence (BI) developments. One open source BI company I have not covered is JasperSoft Corporation.
Recently, I read an article in one of the prominent computer magazines about XML databases. It was one of a number of similar articles that have found their way into the technical press in recent years.
Oracle last week continued its acquisition spree by buying retail analytics and optimization software vendor ProfitLogic, Inc. Following closely on the heels of its purchase of Retek in March (see " Oracle Acquires Retek," 29 March 2005), this marks Oracle's second acquisition of a retail analytics vendor in the past four months.
In spite of the length of what follows, be aware that this is just a top-level description of what agile methods do. Please suspend disbelief, work through any flaws in the prose, and ask "Yes, but ..." questions as they come up.
Here are aspects of scheduling that I'd like to address:
One of the interesting aspects of enterprise architecture work within any big organization is taking the responsibility for setting up standards governing the development of information systems. The problem with standards is that they come in great numbers and vastly different qualities. Typically, a standard belongs to one of the following species: