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
Executive Summary
XML and Distributed Computing Architectures
In just a few short years, the Extensible Markup Language (XML), a simple data description language, has significantly changed how we think about data and communicate across the Internet. Content providers are looking to XML as a flexible data storage medium for delivering specialized content to browsers and handheld wireless computing devices.
There's no shortage of Extensible Markup Language (XML) hype these days, but it's nevertheless a very new standard. In most cases, when people talk about XML, they are assuming it can do things that are well beyond the basic XML standard issued by the World Wide Web Consortium (W3C). I've argued that there are really four issues to consider:
In the last Executive Update I wrote on the Extensible Markup Language (XML), I focused on core XML updates DOM and Schema. This month, I want to focus on broader architectural issues. I've already discussed the fact that XML can serve two functions: it can pass text between human users or pass data between software applications.
For computer scientists, software engineers, and almost anyone else who works in the IT industry, talking about artificial intelligence (AI) is roughly akin to talking about religion or politics: everyone seems to have a very strong opinion and they tend to articulate those opinions in loud, strident voices.
I'm impressed with the way IT people are thinking in broader and more businesslike terms than in the past. I attribute this to the rise of e-business and the success of enterprise resource planning (ERP) applications, among other things.
