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
Simon Field integrates business capability modeling into SARM, a formal method for developing and evaluating competing designs for solution architectures. In this article, he shows how this technique can be used to build competing designs for “digital services.” SARM focuses on architecturally significant requirements, as these are most likely to be difficult (and expensive) to change once enshrined in the architecture. The framework uses business capabilities as a way of expressing functional suitability, which introduces a layer of abstraction difficult to achieve through other means.
John Murphy proposes some practical steps to resolve the communication difficulties that still plague transformation programs. He proposes business capability modeling as a way to create shared understanding and bridge the worlds of business, process, and technology information encapsulated in business capabilities.
There appears to be a new school emerging when it comes to digital architecture; one that embraces the complex and the uncertain. Some of our authors in this issue of CBTJ would certainly identify with that school. Proponents of this new school are building in areas of common concern — systemic resilience, critical thinking, and mental models — and are introducing variety, design tooling, and governance models. Each is attacking a systemic issue via experimentation, letting reality be the judge of what’s useful and what should survive.
As artificial intelligence (AI) becomes more visible as a corporate strategic tool, organizations will have to incorporate issues surrounding AI as part of corporate strategy. In this Advisor, the authors examine some best practices for the successful implementation of AI initiatives.
In this Advisor, the authors examine prevailing concepts of trust in the context of AI applications and human-computer interaction. They emphasize that trust building is a dynamic process and outline how to build initial trust in AI systems.
Data democratization means providing equal access to everyone — leveling the playing field between parts of the organization so that all parties can get access to the data. Data democratization is also a recognition that today’s economy is truly an information one, filled with information workers — and information workers need information.
This Advisor is a call to pause — to ponder where architecture has been and where it is and to provide a framework within which to do that.
In this issue, you'll discover why it's survival of the fittest in the digital game, why software delivery talent is so hard to find, how to meet the challenges of the skills shortage, and more!