Within a few years, much of what doctors, lawyers, engineers, computer scientists, and professors — among many other professionals — do will be extended and replaced by smart machines. There will be a fundamental change in the definition, development, and deployment of "expertise." After an initial period of resistance (and some hysteria), we will welcome the capability and accessibility of our smart digital friends with open arms. In fact, we already desperately need them.

As a method for practicing continuous improvement on a day-to-day basis, the improvement kata complements Agile methods and integrates with familiar Lean tools.

During this on-demand Cutter webinar, you'll gain an introduction to an Application Lifecycle Management (ALM) strategy that focuses on the flow of value in software development and delivery and its contribution to corporate strategy.

Organizations have several choices for implementing IoT infrastructure.

Recently I discussed Cutter survey findings pertaining to development trends for organizations building mobile apps that customers can download and run on their smart watches (see “The Smart Watch as a Customer Touchpoint: App Development Trends”).

The ability to recognize different levels of complexity and to distinguish perceived increased complexity versus actual increased complexity is helpful for enterprise planners and strategists. There are different approaches to handling complexity across a whole spectrum of attitudes, from ignoring it entirely (after all, things tend to sort themselves out by themselves) to either overengineering (theoreticians who do not have many real-world constraints can be particularly good at making complex things look even more so) or the opposite, oversimplification.

Understanding and addressing complexity and its impact on the enterprise is now a necessity across all business sectors. This Executive Report provides an introduction to complex systems and to the field of systemics and identifies a gap between traditional and sociotechnical systems engineering. The report also explains the importance of joint optimization and proposes a metamodel to achieve it: the Joint Optimization Metamodel.

This Update is for people who want to know how, and if, wearables will affect the broad range of businesses not directly in the wearable business. If you have a wearable product in the marketplace or close to it, that’s great. But if you don’t (and perhaps even think that you don’t need to think about wearables at all), keep reading.

This Update is for people who want to know how, and if, wearables will affect the broad range of businesses not directly in the wearable business. If you have a wearable product in the marketplace or close to it, that’s great. But if you don’t (and perhaps even think that you don’t need to think about wearables at all), keep reading.

In this Executive Update, we focus on why SOA is better suited to tackle digital disruption and examine the three major value dials of the SOA paradigm. We explore what constitutes a pragmatic SOA foundation and break down a framework and sample scenario on how to exploit this foundation in the digital economy. This Update also includes relevant insights based on our experiences working with global clients, including lessons learned and best practices while building an SOA foundation.

Even without the new wave of wearable technologies, the wearable market is sizeable today -- US $24.2 billion in 2015, according to research done by our company, IDTechEx.1 The vast majority of this -- 74% -- is for already mature wearables: the humble electronic wristwatch, earphones, blood glucose test strips, and the like. Now let's assess each of the key applications for wearable technology.

Even without the new wave of wearable technologies, the wearable market is sizeable today -- US $24.2 billion in 2015, according to research done by our company, IDTechEx.1 The vast majority of this -- 74% -- is for already mature wearables: the humble electronic wristwatch, earphones, blood glucose test strips, and the like. Now let's assess each of the key applications for wearable technology.

This article details the challenges and opportunities for the corporate sector created by these developmentswith wearables, and discusses the most likely scenarios and their implications for business and society.

This article details the challenges and opportunities for the corporate sector created by these developmentswith wearables, and discusses the most likely scenarios and their implications for business and society.

Man's quest for an enhanced human experience using wearables, be it for productivity or for leisure, is age-old. Attempts such as arm-worn wings to enable flight or even an abacus on a ring date back several hundred years.1 However, the proliferation of contemporary wearables ranging from smartwatches to smart glasses, cameras, headsets, and clothing is a 21st-century phenomenon, and it has the potential to significantly alter the way people live, work, and play. But as with other technology development endeavors, the question of how wearables should be built so that they provide the optimal user experience remains. Further, how do we evaluate the performance of such wearables? We address these key questions in this article.

Man's quest for an enhanced human experience using wearables, be it for productivity or for leisure, is age-old. Attempts such as arm-worn wings to enable flight or even an abacus on a ring date back several hundred years.1 However, the proliferation of contemporary wearables ranging from smartwatches to smart glasses, cameras, headsets, and clothing is a 21st-century phenomenon, and it has the potential to significantly alter the way people live, work, and play. But as with other technology development endeavors, the question of how wearables should be built so that they provide the optimal user experience remains. Further, how do we evaluate the performance of such wearables? We address these key questions in this article.

The Internet of Things (IoT) evolution in combination with progress in analytics and cognitive capabilities has resulted in new technologies, such as wearables, sensors, and intelligent automation solutions. The world around us is smarter, more interconnected, and more automated. Three major aspects of digitization are observed as a result of new economy models driven by data: digitization of humans, digitization of organizations, and digitization of the ecosystem (see Figure 1). This article focuses on the first aspect -- the digitization of humans -- and relates to the other two categories as needed.

The Internet of Things (IoT) evolution in combination with progress in analytics and cognitive capabilities has resulted in new technologies, such as wearables, sensors, and intelligent automation solutions. The world around us is smarter, more interconnected, and more automated. Three major aspects of digitization are observed as a result of new economy models driven by data: digitization of humans, digitization of organizations, and digitization of the ecosystem (see Figure 1). This article focuses on the first aspect -- the digitization of humans -- and relates to the other two categories as needed.

Wearables promise a host of opportunities, from giving companies a new customer touchpoint they can use to engage directly with consumers to changing the way healthcare is provided and medical research is conducted. Already wearable devices are being used to assist employees with their jobs, and such usage is expected to advance in the near future. Wearables will make their way into business and industrial scenarios ranging from CRM and HR to the shop floor. But along with opportunities, wearables raise concerns.

Wearables promise a host of opportunities, from giving companies a new customer touchpoint they can use to engage directly with consumers to changing the way healthcare is provided and medical research is conducted. Already wearable devices are being used to assist employees with their jobs, and such usage is expected to advance in the near future. Wearables will make their way into business and industrial scenarios ranging from CRM and HR to the shop floor. But along with opportunities, wearables raise concerns.

Discover a new menu- and principle-driven framework for software development — one that combines the best parts of today’s popular Agile practices with the application of software development analytics, enabling you to monitor the delivery of your software on an ongoing basis, with a strong focus on value-add.

This is the final installment of a three-part Executive Update series concerning key issues involving the infrastructure as a service (IaaS) model of cloud computing.

This is the final installment of a three-part Executive Update series concerning key issues involving the infrastructure as a service (IaaS) model of cloud computing.

Are you fully leveraging your organization’s data – both structured and unstructured – and putting Big Data Analytics to work to improve decision making, performance, and success? With the right knowledge and skills, you can combine and analyze data from myriad sources to identify patterns previously obscured, and apply predictive analytics to enable better decision making and new, superior strategies and approaches.

In this on-demand webinar, Cutter Senior Consultant Lynn Winterboer shows you how to write user stories for a DW/BI project, and she explains how these user stories contribute to several key Agile principles.