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.
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The articles in this issue discuss various aspects of corporate crisis management and how business technology can help companies deal with crises of all kinds, but especially those that change everything. Some of the articles are strategic; some are tactical. But they’re all engaging and useful, with purposeful points of view.
While the current level of trust may be satisfactory for some uses, we must secure a higher level of trust when accessing personal sensitive data. Establishing a trusted Web layer, in which users are uniquely identified and thoroughly authenticated, reduces the lack of trust issue.
While the software industry is currently grappling with ideas of complexity and resilience, there has been very little in the way of concrete actions or activities that software engineers can use to actually design systems. Residuality theory answers this need and draws on complexity science and the history of software engineering to propose a new set of design techniques that make it possible to integrate these two fields. It does this at the expense of two of the most important concepts in software design: processes and components. (Not a member? Download a complimentary copy.)
There is a space within which we operate. There is also a time window through which we peer into the world. There may be a broader universe that contains more of space and more of time, but that would be of little concern to us because the only universe that realistically matters is the little piece of it that we have carved out for ourselves, out of the vast spaces and time horizons of the broader one. And therein lies the architect’s challenge: Where are we operating in the space-time continuum? And are we sure that this is where we would like to be? This Advisor introduces an architectural tool that helps the enterprise center itself.
This edition of The Cutter Edge discusses the business advantage of capability models, improving project performance by identifying the social and emotional dynamics, and more.
Business architecture is many different things, capable of delivering many different value propositions to an organization. It is a shared enterprise business language and mental model; a macro business lens for analyzing investments, risks, opportunities, and more; a key component of end-to-end strategy execution; and an important mechanism to bridge and break down silos. Certainly, silos can be necessary for organizations to operate; however, silos can be detrimental to an organization’s success. This Executive Update explores the challenges with organizational silos and how business architecture is uniquely qualified to address them.
According to Cutter Consortium research, organizations are using NLP and advanced imaging to add conversational computing and intelligent document processing capabilities to RPA platforms — enhancing their RPA deployments with more advanced process automation capabilities.
A major player in the transportation and logistics industry recently conducted a digital shift over an extended period. The program was initiated by the IT department, with the clear goal of making the organization more digital and finding its digital equilibrium. This introduces a key question: is the IT department really the best place to start when it comes to digitalization?