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.
Recently Published
As project manager, you have a great deal of say regarding decisions affecting your project, but everyone on the team -- including engineers, QA, sales, customer service, and other stakeholders -- knows that the project will only succeed if there is substantial consensus on what to do.
The title of a recent article in The Economist reads, "Companies Hope That "Chief Customer Officers" Will Provide Better Service.
Executive Update
Beyond the Hype: Cloud Computing in Analytics
Machine learning (ML) techniques, often referred to as predictive analytics or marketing analytics, are becoming commonplace in business and research alike. Regardless of name, all refer to the process of collecting and processing data along with the subsequent application of mathematical analysis to gain valuable insights.
In this report, Cutter Senior Consultant Jens Coldewey draws from his years of experience helping organizations transition to agile to identify some of the unexpected problems organizations encounter as they proceed. You'll discover common misconceptions companies have during agile transitions, patterns in conversations with new adopters, and frequently asked questions posed by key stakeholders.
In my Advisor "Reassessing Your Software Process," I drew a parallel between transaction cost and velocity. According to classical economic theory (see R.H.