Citizen development promises to improve enterprise productivity and accelerate value delivery, enabling organizations to achieve outcomes more quickly. This Advisor presents seven key recommendations for organizations undergoing or planning to pursue a digital transformation and adopt a citizen development (CD) initiative.

Time and money are never unlimited, but failing to establish cutoffs for testing is a common mistake that relates directly to how much testing is needed. If the project does not establish cutoff dates for testing, nobody can plan defect work because new bugs will always be arriving on an unpredictable schedule.

The move from conventional computing to quantum computing won’t be like a simple change in technology providers. Quantum processors use a wholly new way of solving complex problems; as we explore in this Advisor, that requires a new way of thinking about problems. Software programs designed for conventional computers aren’t going to work.

The move from conventional computing to quantum computing won’t be like a simple change in technology providers. Quantum processors use a wholly new way of solving complex problems; as we explore in this Advisor, that requires a new way of thinking about problems. Software programs designed for conventional computers aren’t going to work.

If enterprises must be agile as well as secure, there cannot be daylight between security design and the broader architecture and purpose of the enterprise. Many enterprises may need to take a step back, survey the security landscape, and evaluate the level of coherence of their security architecture.

Finding and leveraging the right data is key to achieving strategic advantage. Creating a data supermarket of usable data can help businesses make critical decisions, and a system called cataloging makes this data supermarket possible. This Advisor explores how cataloging enables the connection of different elements of a data pipeline to provide a more orderly and efficient management of data, especially as the volume and variety of data increases.

More than a decade ago, Cutter Consortium introduced the concept of green IT in an Executive Report and outlined IT’s role in creating a sustainable environment. The topic has become all the more important and relevant today. In this Report, we provide an updated, holistic view of greening IT and how we can — and should — embrace IT to address the environmental challenges we face.

More than a decade ago, Cutter Consortium introduced the concept of green IT in an Executive Report and outlined IT’s role in creating a sustainable environment. The topic has become all the more important and relevant today. In this Report, we provide an updated, holistic view of greening IT and how we can — and should — embrace IT to address the environmental challenges we face.

The accompanying Executive Report, an update to a previous Report, outlines IT’s environmental impacts, discusses three key facets of green IT, and shows how we can go green with our IT systems and applications. The Report highlights opportunities for IT-enabled solutions and assistance to better sustain and manage our environment and presents useful insights to help make smart green IT decisions.

The accompanying Executive Report, an update to a previous Report, outlines IT’s environmental impacts, discusses three key facets of green IT, and shows how we can go green with our IT systems and applications. The Report highlights opportunities for IT-enabled solutions and assistance to better sustain and manage our environment and presents useful insights to help make smart green IT decisions.

In Part II of this Executive Update series on business architecture and sustainability, we detail business architecture’s role in transitioning to the circular economy while concurrently delivering related business strategies that include opening up new markets and new revenue streams.

The next decade in the auto industry will be intriguing to watch as the risk-reward equation between electric vehicles and internal combustion engine vehicles continually shifts. New strategic inflection points can be expected to emerge as both battery and IT improve, with the latter allowing the software-defined car to become an everyday reality.

In this Advisor, Jon Ward outlines how learning is blocked by Agile certifications and explains that teams must understand Agile theory to improve continuously. He recommends developing in-house training capabilities as a more effective approach to learning.

In this on-demand webinar presented by Dan Sturtevant, you will learn how to decide to move forward with a legacy system based on technical, financial, and risk considerations implicit in the technical health of the software asset; methods to systematically drive architectural improvement and technical transformation of legacy systems; how to identify, evaluate, and remediate hidden modernization blockers within the software asset’s architecture; and more.

Nonfunctional requirements is an overly simplistic view of hyperliminal coupling that arises from transposing the idea of functional requirements and contract certainty to the hyperliminal reality of a system’s behavior in its environment. If we let go of the idea of nonfunctional requirements and focus instead on hyperliminal coupling, we have a greater chance of actually building something that can respond to its environment, as is explored in this Advisor.

Knowing the competitive environment of your company, division, department, or unit is the first step in ensuring you're solving the right problems. This Advisor explores four styles of competitive environments — classical, adaptive, shaping, and visionary — and provides guidance on determining which styles best fit your current situation.

The application of advanced technologies, including artificial intelligence (AI), are increasingly being used to detect wildfires before they grow out of control, predict a wildfire's path, and assess the risk and potential damage caused by wildfires. This Advisor explores the application of AI and machine learning technologies to mitigate the impact of wildfires.

As the pandemic unwinds, what lasting lessons can companies carry from the moments of “What now?” to successfully respond to “What’s next?” What makes the journey toward AI ethics so difficult? Get answers to these questions and more in this issue of The Cutter Edge.

As the pandemic unwinds, what lasting lessons can companies carry from the moments of “What now?” to successfully respond to “What’s next?” What makes the journey toward AI ethics so difficult? Get answers to these questions and more in this issue of The Cutter Edge.

Commoditization has evolved as expected for end-user IT, as solutions embrace simplicity. But behind the scenes in IT there is chaos that has existed for at least 25 years. Though things may be cheaper, they are just as complex. Explore how the focus needs to shift in order for IT to experience its industrial revolution.

Take a minute and write an answer to the question, “What is technical debt?” Then read this Advisor and reread your answer — and see if it still makes sense.

Take a minute and write an answer to the question, “What is technical debt?” Then read this Advisor and reread your answer — and see if it still makes sense.

Companies have been scrambling to respond to the upheaval caused by the COVID-19 pandemic. More than 18 months since it began, many organizations still wonder what the post-pandemic future holds. The challenges are far-reaching, ranging from resolving daily employee work modalities to existential digital business model transformation. In this Advisor, Noah Barsky provides his perspective on the most pressing challenges awaiting business and the “future of work” and identifies some fundamental business issues that should be taken into consideration by leaders to navigate the “next normal” of the business world.

When contemplating transformation, you should test your assumptions in a pilot project before betting the farm on them. Such a project should be chosen to have minimal impact on the company in case of failure, should be realistic to build with a small team, and should have high potential for growth.

A common denominator behind failed ML projects is the anthropomorphism of technology. This Advisor explores how, through our tendency toward anthropomorphism, we fail to make a critical distinction in the way humans and machines interpret the world.