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
Advisor
Top-Down Implementations
During the first 15 years of its life, most Scrum implementations have been bottom-up. A project team would try Scrum and the results would be impressive. Another customer or another team would try it. Pretty soon, Scrum was used throughout the organization.
During the dot-com craze, it seemed like Web analytics vendors were popping up like weeds. Many of the leading BI vendors at the time quickly moved to jump on the Web analytics bandwagon as well by introducing products designed to support everything from click-stream analysis and online campaign optimization to Web site visitor segmentation and conversion analysis.
Relational and Object-Oriented Database Design in the 21st Century series:
Part 1
Part 1
It's been almost five years since Web services were first introduced, and it's probably a good time to check in on how they're doing and where they're going.
Today, we have new knowledge about software measurement. Because it's an emerging discipline, we know more about it today than ever before. The emergence of the Internet and Web-based development has had significant impact. During the Y2K transition, additional patterns arose. A major economic downturn, agile methods, and application development and management outsourcing brought other dynamics. Today, software measurement operates in a new context, and its purposes should be reframed accordingly. Times have changed; so should measurement.