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
In February/March 2011, Cutter Consortium conducted a survey asking 60 end-user organizations various questions about the adoption and use of predictive analytics. The goal was to uncover corporate adoption trends and examine application development issues to discern how organizations are applying predictive analytics technology and practices to structured data analysis.
In the past, teams could tell project stakeholders that software debt existed, but it was difficult to describe where and how much. Teams would increase their estimates for features that used to seem simple because it meant making changes to areas of the code they knew were infested with software debt. In the worst situations, teams would recommend a full rewrite of an application because the software debt was too difficult to work around anymore.
If we create a suitably accurate and comprehensive set of tests at the outset of the project -- tests for both performance and business functionality, the two primary reasons for project failure -- and apply those tests continually throughout the project, then the project can never fail on either basis.
In this on-demand webinar, Dr. Israel Gat presents the Cutter Technical Debt Framework. He describes the experience and insights gained by applying the framework in various Cutter client engagements. Dr. Gat puts special emphasis on critical success factors for making the technical debt initiative work for you, your company, its partners and its customers.
A survey conducted by Cutter Consortium in February/March 2011 offers some insight into corporate spending plans for predictive analytics.1 Specifically, when asked, "Does your organization plan to increase or decrease spending on predictive analytics and data mining this year (i.e., 2011) compared to last year?" participants responded as shown in Figure 1.
It's been increasingly evident over the past three to four years that "going green" is a business movement that is here to stay -- partly out of necessity as businesses struggle with increasing costs from fuel and energy. But also partly out of having an environmental conscious. Certainly organizations, publications, activist groups, and news stories are making the masses aware of our duties to help protect and preserve the world we live in.