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.

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.

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!

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!

Karolina Marzantowicz reveals some of the new blockchain-based innovations — such as the growth of global blockchain consortiums, stablecoins, digital currencies, new service offerings from big tech giants, and decentralized finance (DeFi) platforms — that are revolutionizing the banking and finance industry by transforming both the business and consumer experience in positive ways.

Emotion recognition is an evolving technology that is still in the very earliest stages of enterprise adoption. However, commercial providers now offer platforms and services utilizing emotion recognition, and we are seeing end-user organizations express growing interest in using the technology.

This Advisor describes what an organization needs to develop and implement the organizational skills and capabilities associated with big data.

To incorporate a software delivery capability, your team should thrive on adopting new technology, practices, and processes. There are three primary ways companies can do this effectively, as we explore in this Advisor.

Organizations are interested in adopting several technologies to support their customer experience initiatives. This Advisor considers two specific areas: personalization and omnichannel customer engagement and marketing platforms.

Similar to the semantics of user stories, which always express change, it is beneficial to describe architecture as a series of changes — structural changes through time. The smaller the gap between the architecture representation of the architecture and its realization, both in expressiveness and timing, the more relevant the architectural changes.

Artificial intelligence (AI) and machine learning (ML) has vulnerabilities that can create serious consequences for lives and property. In this Advisor, we investigate AI’s vulnerabilities, examining where problems can occur in development and application.

The problems that businesses try to solve with Industry 4.0 become less about automating old processes and more about inventing a new world in which computing drives business rather than mirrors it. It’s both inevitable and predictable that this will bring a protracted and difficult skills shortage. In this on-demand webinar, Barry M. O’Reilly offers insight on how your organization can prepare to meet the challenge.

In this Advisor, we discuss the social and emotional cognitive aspects of proj­ects.

While the capabilities of artificial intelligence (AI) are incredibly useful and offer business and government the opportunity to solve knotty problems, a common question is, “Does this capability pose threats to humans?” Are the sci-fi scenarios of malevolent robots or killer software pro­grams a real concern?

In order to implement continuous integration and testing concepts, consider the seven Agile approaches presented in this Advisor.

The emerging nature of smart automation technologies requires a holistic architecture-centric design. The business must address design considerations such as trust, transparency, security, and bias to create successful smart automation. In this Advisor, we explore efficiency and continuous learning considerations as well as compliance issues associated with the use of smart automation technologies.

In this edition of The Cutter Edge, explore the how the growth of AI technology implemention has also increased our our awareness of its negative, unintended consequences; the six key steps to a design thinking mindset; whether or not CX practices are living up to expectations, and more.

The ultimate success of artificial intelligence (AI) will depend on how well society is prepared for its widespread application. This, of course, raises a slew of social, economic, legal, privacy, and ethical issues and challenges that must be seriously studied and addressed.

Sustainability means bringing new functionality to the market while keeping your underlying software assets healthy and nimble. To achieve such balance requires a form of data-driven design and decision making that balances commercial and technical con­siderations. In this Advisor, we review what is needed in terms of data, design, and decisions.