A few years ago, I shared my thoughts on how consumer-facing organizations could use digital tools to engage better with their customers.” This article takes that idea a step further and describes the internal organizational and cultural changes that are required for this kind of digital transformation.

In this article, we analyze the skills needed for the development and use of enterprise architecture. We argue that these skills are vital to the success of organization-wide digital shifts.

In this Advisor, we examine five measures to demonstrate success in continuous integration and testing efforts.

In this Advisor, we examine autonomous systems. These systems are on track to find widespread adoption. They will be a game changer and will propel new research, development, and business opportunities. It’s no wonder they are attracting the interest of researchers, manufacturers, and users alike.

In this Advisor, we examine autonomous systems. These systems are on track to find widespread adoption. They will be a game changer and will propel new research, development, and business opportunities. It’s no wonder they are attracting the interest of researchers, manufacturers, and users alike.

This article focuses on the challenge of over­coming resistance to change during the digital shift process and advocates for organizations to build a culture of continuous learning and education into its strategy of innovation and performance development.

As we explore the idea of “making a digital shift,” we must focus primarily on the front end of the process: the hard thinking required at the C-level. We also need to tackle the reasons it must be at that level. Next, it’s important to examine the ways to keep up the momentum and stay on track in managerial, not technical, terms.

We feature five articles in this CBTJ, covering a wide range of issues relating to the digital shift — from securing executive-level buy-in during the transition and overcoming organizational/cultural inertia to creating a holistic overview of the enterprise and mapping the digital value-creation process.

We feature five articles in this CBTJ, covering a wide range of issues relating to the digital shift — from securing executive-level buy-in during the transition and overcoming organizational/cultural inertia to creating a holistic overview of the enterprise and mapping the digital value-creation process.

Recent research by Cutter Consortium shows that organizations view CX as appropriate for a number of use cases and domains. In this Advisor, we look at three of those areas: customer engagement, customer relationship management, and customer self-service and advisory systems.

To bridge the divide between the general understanding of the concepts that drive the business model and the departments and teams into which the employees have been divided, the organization has to make the leap from a model-driven data architecture to a model-driven organization; it has to derive its own structure from the logical design.

According to Cutter Consortium Senior Consultant Mike Rosen, there are three main roadblocks to digital business: 1) Lack of an agile architectural approach; 2) Limited data accessibility, integration, and quality; and 3) Inability to accommodate new requirements for speed, scope, and scale. Discover practical strategies for approaching and tackling these roadblocks in this short, on-demand session.

According to Cutter Consortium Senior Consultant Mike Rosen, there are three main roadblocks to digital business: 1) Lack of an agile architectural approach; 2) Limited data accessibility, integration, and quality; and 3) Inability to accommodate new requirements for speed, scope, and scale. Discover practical strategies for approaching and tackling these roadblocks in this short, on-demand session.

The early emergence of a new, potentially viral term — a “lakehouse” — suggests another wave of fuzzy thinking is about to infect the data architecture space.

This edition of The Cutter Edge explores ten critical areas in need of technology regulaton, the factors leading to information mistrust, the roadblocks to digital transformation success, and more!

In this Executive Update, we assess how a gradual transformation from traditional IT/network units to a more functional organization, using the example of telecom operators, will address several legacy constraints in adopting new technologies. Effective implementation of such a project reduces costs and organizational redundancies and provides the further push to digitalization.

In the webinar, “Overcoming the Industry 4.0 Skills Shortage,” Barry M. O'Reilly discussed the skills shortage that is both inevitable and predictable when businesses try to solve problems with Industry 4.0, which is less about automating old processes and more about inventing a new world in which computing drives business rather than mirrors it. It is apparent that we cannot simply continue as we have in the past. Educating engineers faster, matching them to jobs more easily, and simply doing “the same old thing” has not solved the earlier skills crises — and Industry 4.0 presents even tougher challenges than what we have experienced thus far. In this Advisor, Barry shares some responses to questions following the webinar.

In the webinar, “Overcoming the Industry 4.0 Skills Shortage,” Barry M. O'Reilly discussed the skills shortage that is both inevitable and predictable when businesses try to solve problems with Industry 4.0, which is less about automating old processes and more about inventing a new world in which computing drives business rather than mirrors it. It is apparent that we cannot simply continue as we have in the past. Educating engineers faster, matching them to jobs more easily, and simply doing “the same old thing” has not solved the earlier skills crises — and Industry 4.0 presents even tougher challenges than what we have experienced thus far. In this Advisor, Barry shares some responses to questions following the webinar.

I often describe the strategic risk management of emerging technology and disruptive business models as a combination of continuity and change. Striking the balance is often difficult in a high-stakes, rapidly changing environment. However, one should find comfort and guidance in the fact that while the tech­nical components change, the principles of risk manage­ment remain the same. The trick is to understand the technology enough and apply the appropriate mitigation strategy to de-risk the solution while striking a balance between business value and the assumption of too much organizational risk.

Data architecture as currently practiced is beset with a range of problems, many of which are described in a recent issue of Cutter Business Technology Journal — as are some solutions to some of the problems. However, I contend that we need to return to basics in decision making and ask how decisions are actually made by people and in organizations.

From the need for more tech­nology regulation to what technologies will be most transformative, from guidelines for keeping our data safe to minimizing the profusion of misinformation — we are sure you’ll find value in the observations in this issue of Cutter Business Technology Journal. We trust that they’ll give you the foresight to proceed with optimism, yet vigilance, into this new decade.

From the need for more tech­nology regulation to what technologies will be most transformative, from guidelines for keeping our data safe to minimizing the profusion of misinformation — we are sure you’ll find value in the observations in this issue of Cutter Business Technology Journal. We trust that they’ll give you the foresight to proceed with optimism, yet vigilance, into this new decade.

With all that is new and changing before our eyes, we asked the Cutter Consortium team of experts to weigh in on the technologies, strategies, and business models that will have the most relevance this year and beyond.

With all that is new and changing before our eyes, we asked the Cutter Consortium team of experts to weigh in on the technologies, strategies, and business models that will have the most relevance this year and beyond.

With a systematic way to assess, design, measure, implement, and effec­tively manage data, leaders increase the chances of maximizing the true potential of AI/ML, while meeting the needs of regulators.