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
3 Benefits of the Hybrid Cloud
Many organizations are now focusing on a hybrid cloud strategy: moving part of their IT capabilities to the cloud, while maintaining core elements in-house, hosted on-premises. The hybrid model is becoming immensely customary among organizations, as it enables them to optimally allocate their resources while keeping their current IT infrastructure operating at low risk. A hybrid cloud strategy not only prepares an organization for the future but also protects its investment today. In this Advisor, we explore the benefits of a hybrid cloud strategy.
The growth of automated and cognitive systems drives the need for more expressive and adaptive forms of metadata to enable and underpin such AI, which, in turn, raises questions about the traditional role of such metadata components as the data catalog, the business vocabulary, and the data model. This Advisor explores the data warehouse’s evolving role in digital business.
In this on-demand webinar with Cutter Consortium Senior Consultant Dr. Patrick Haibach, you’ll find out how RPA is augmenting the workforce in a variety of companies. You’ll learn the ways organizations are using the bot-technology. And you’ll discover what the next era of automation will look like.
One important indicator of just how far along in the adoption cycle a new technology (or practice) is depends on whether organizations have developed detailed plans or roadmaps for its adoption and dissemination across the organization. In this Advisor, we share some preliminary results from our ongoing customer experience (CX) management survey that offer some insight into current and future trends pertaining to the establishment of enterprise CX strategy plans.
Statistical Project Management, Part II: A Project Evaluation Rubric
Many IT shops often manage dozens and hundreds of active projects. This project-planning work tends to be distributed well beyond a central project management office. There are only so many project managers in the world, and there are often too many project plans to create and manage. To help both our project managers and those in IT (or elsewhere) who operate as project managers without the deeper training project managers often have, we have drafted a rubric that make clear what we are looking for in a project and a project plan.
We have found the keys to using Agile methods in firmware development to be focus, flexibility, collaboration, tools, and teamwork. In addition, all participants (customers, product managers and owners, systems engineers, digital designers, hardware and software engineers) need to embrace the approach and work together as a team to get the job done as rapidly as possible. In this Advisor, we explore seven major issues that may come up during the product development cycle while putting Agile methods into action.
Statistical Project Management, Part I: The Core Concepts
Most organizations simplify their implementation of methodologies. The quantity of knowledge in a given methodology is greater than its applied usefulness, so much of the methodology remains, probably very safely, as shelfware. In other more malignant cases where the leaders wish to see more rigor from their staff, the methodology can become overburdening. In statistical project management (SPM), we simplify the project management approach by eliminating many concepts that the dominant project management methodologies consider central. While I caution you to err to the side of adopting a lighter methodology rather than a thicker one, that choice is a local one and yours to make. The SPM ontology is presented in this Executive Update provides you with options.
In digital businesses, fragmentation is a design decision to deal with the fluidity of the business processes and business boundaries. It’s important to understanding the consequences in terms of the energy it takes to keep information consistent across a fragmented data landscape. Once you can accept that the beastly nature of working with information is created by your own actions and is an inherent part of the collaboration process that makes information work for you, you can finally start to formulate solutions.