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
Several weeks ago, I discussed the need for tools that can mine social media sites like MySpace, YouTube, Facebook, LinkedIn, and others (see "Mining Internet Social Media: Tomorrow's Tools Needed Today," 18 March 2008).
Chartering Agile Projects
A little over a year ago, I wrote an Advisor called "Should Your Architect Write Code?" (29 November 2006). In it, I gave the typical consultant's answer: "it depends." Each organization is different, and each has more or less different requirements for their architects.
The Missing Pragmatic Link in the Semantic Web
While we are still trying to get our heads around the concepts and terminologies surrounding the Semantic Web, hints of a "Pragmatic Web" are finding their way into conversations and exchanges as some important new idea that is lurking in the background and hasn't quite yet made it onto the IT agenda.
"Are organizations better off building BI solutions when they need them and as quickly as they need them ... without a standardized and integrated DW?"
-- Larissa T. Moss, Guest Editor
Here we go again with another virtual solution! It didn't work for data warehousing -- what makes us think it will work for BI? We still have to address the data chaos in our organizations. BI without a DW won't get us there, but BI with a DW will.

