AI in Education: Applications & Impact

Aswani Kumar Cherukuri, Annapurna Jonnalagadda, San Murugesan
This article looks at potential applications and impacts of AI on education. AI can help students receive personalized lessons, pro­vide educators with deep insights into students’ learning styles, revolutionize skills improvement for professionals, and lower the cost of education. The authors present the AI technologies being applied in education and then describe the platforms and applications now available.

AI’s Role in Accelerating Product Development

Michael Jastram
Michael Jastram outlines the four trends driving product complexity and explains how AI has the potential to help us overcome the limitations of current develop­ment approaches. Both systems engineering and Agile struggle to keep up with today’s exponential growth in complexity. Model-based systems engineering (MBSE) was built to address complexity but requires a large up-front investment and frequently meets with cultural resistance. Jastram advocates for AI-based solutions that offer some of the benefits of MBSE without the need for long, expensive training processes. Regardless of the exact path, he’s excited for the coming years, saying ready-to-use solutions like IBM’s Watson barely scratch the surface of what’s possible.

AI’s Role in Accelerating Product Development

Michael Jastram
Michael Jastram outlines the four trends driving product complexity and explains how AI has the potential to help us overcome the limitations of current develop­ment approaches. Both systems engineering and Agile struggle to keep up with today’s exponential growth in complexity. Model-based systems engineering (MBSE) was built to address complexity but requires a large up-front investment and frequently meets with cultural resistance. Jastram advocates for AI-based solutions that offer some of the benefits of MBSE without the need for long, expensive training processes. Regardless of the exact path, he’s excited for the coming years, saying ready-to-use solutions like IBM’s Watson barely scratch the surface of what’s possible.

AI: Boon or Bane? (Hint: It Depends on Us)

Paul Clermont
Paul Clermont dives straight into the three overarching issues related to AI: unintended consequences, unintended bias, and privacy. Clermont offers no-nonsense advice for dealing with these issues, advocating for laws that make organizations responsible for the algorithms they use (whether bought or built) and prohibit unexplainable AI in applications that could harm people physically or affect their lives in significant ways.

AI: Boon or Bane? (Hint: It Depends on Us)

Paul Clermont
Paul Clermont dives straight into the three overarching issues related to AI: unintended consequences, unintended bias, and privacy. Clermont offers no-nonsense advice for dealing with these issues, advocating for laws that make organizations responsible for the algorithms they use (whether bought or built) and prohibit unexplainable AI in applications that could harm people physically or affect their lives in significant ways.

Bridging the AI Trust Gap

Claude Baudoin, Clayton Pummill
This article presents the keys to achieving trust in AI. The first step is building cross-disciplinary teams. Then we must impart AI with emotional intelligence, which involves not only trans­parency, but also explainability and accountability. Eliminating bias and ensuring fairness must, of course, be in the mix.

Bridging the AI Trust Gap

Claude Baudoin, Clayton Pummill
This article presents the keys to achieving trust in AI. The first step is building cross-disciplinary teams. Then we must impart AI with emotional intelligence, which involves not only trans­parency, but also explainability and accountability. Eliminating bias and ensuring fairness must, of course, be in the mix.

A Lesson in Top-Down, Business-Driven Data Architecture Specification

William Ulrich
This Advisor tells the story of two similar organizations with initiatives to derive and define data models. The first organization had a business architecture in place, which included a well-defined capability map, value streams, and information map. The second organization did not.

Data Strategy's 4 Dimensions: A Q&A

Richard Veryard
Making an organization more data-driven doesn’t always entail a large transformation program, but it does require a clarity of vision and pragmatic joined-up thinking. To achieve all or some aspects of vision, there are four dimensions that need to be addressed in your data strategy: reach, richness, agility, and assurance. In this Advisor, we share some questions that Veryard answered at the end of the webinar.

IPA in the Enterprise, Part VI: More Key Technologies

Curt Hall
Here in Part VI of this Executive Update series, we examine the remaining five technologies organizations are interested in adopting to support their enterprise IPA efforts.

Quantum Computing Applications & the Potential for Quantum Advantage

Muhammad Usman
One of the most pressing questions for the quantum computing community today is: when will quantum computers beat a classical supercomputer by solving a real-world problem of practical interest? This is commonly referred to as “quantum advantage,” which is different from quantum supremacy. The simple answer is that no one knows.

Agile Lineout — A Contextual Alternative to Scrum: A Q&A

Jon Ward
In a recent webinar, Cutter Consortium Senior Consultant Jon Ward introduced an agile approach that uses behavioral theory, lean principles and agile wisdom to help teams create high-value solutions quickly. This Advisor shares the Q&A session that followed. Perhaps Jon's advice will spark some new ideas on how your organization can leverage Agile Lineout practices for team success.

Agile Lineout — A Contextual Alternative to Scrum: A Q&A

Jon Ward
In a recent webinar, Cutter Consortium Senior Consultant Jon Ward introduced an agile approach that uses behavioral theory, lean principles and agile wisdom to help teams create high-value solutions quickly. This Advisor shares the Q&A session that followed. Perhaps Jon's advice will spark some new ideas on how your organization can leverage Agile Lineout practices for team success.

Insights from Study Help Maximize Business Architects’ Strengths

Whynde Kuehn
This Advisor examines the findings of a Business Architecture Strengths Study from a Clifton Strengths assessment and provides a few recommendations to leverage the unique abilities of business architecture within our organizations.

The Enterprise Architect as Troubleshooter

Scott Whitmire
Every change effort requires a certain amount of troubleshooting to determine what processes and capabilities need to be altered to meet new business goals. Yet, far too little attention has been given to the skill of troubleshooting. This Advisor explores troubleshooting as a skill and a process and discusses how to apply it to enterprise architecture to identify appropriate starting points for change initiatives.

Achieve UN Sustainable Development Goals with BA, When Good Data Goes Bad, more!

Cutter Consortium
In this edition of The Cutter Edge, you'll discover which UN Sustainable Development Goals are relevant to your organization, how well-intentioned data collection could turn bad, and more!

The Role of IT in Citizen Development

Dave Garrett, Ian Duncan

In the age of transformation, advances in artificial intelligence are rapidly disconnecting end users from the complexity of the technology they use. The result is a world where we can do many things without having to understand how they work. For example, Amazon’s Alexa lets users ask complicated questions using nat­ural language input and receive immediate answers.


The Role of IT in Citizen Development

Dave Garrett, Ian Duncan

In the age of transformation, advances in artificial intelligence are rapidly disconnecting end users from the complexity of the technology they use. The result is a world where we can do many things without having to understand how they work. For example, Amazon’s Alexa lets users ask complicated questions using nat­ural language input and receive immediate answers.


Challenges to Low-Code Adoption

Jacek Chmiel
With a new generation of cloud-enabled low-code tools, we can combine the simplicity and friendliness of easy-to-use develop­ment environments with the ability to deploy distrib­uted business applications. This Advisor addresses some of the key arguments against low-code adoption.

Challenges to Low-Code Adoption

Jacek Chmiel
With a new generation of cloud-enabled low-code tools, we can combine the simplicity and friendliness of easy-to-use develop­ment environments with the ability to deploy distrib­uted business applications. This Advisor addresses some of the key arguments against low-code adoption.

The Importance of a Well-Defined Business Vocabulary

William Ulrich
Many organizations lack a well-defined, rationalized business vocabulary as a basis for information management. As a result, the data they rely on results in many business challenges, as discussed in this Advisor.

Enforcing Compliance as Code

Adam Swenson
Controls are only as good as their ability to be enforced. This Advisor reviews the architecture and enforcement mechanisms used to steer developers, DevOps, and infrastructure engineering staff through the use of compliance-as-code controls.

Supporting Digital Twins with Edge Computing

Sameer Kher
Cloud computing, with its scalability and relatively low cost, has traditionally been the technology environment of choice for supporting digital twins. Today, edge computing has emerged as a promising alternative. This Advisor explores the benefits of edge computing over cloud computing.

The Essentials of Great Innovation Teams, Part II: Building Meaningful Missions

Robert Ogilvie, Jeffrey McNally
In Part II of this Executive Update series on creating great innovation teams, we explore how to build meaningful missions.

The Implications of a Transformation

Matt Ganis

A digital transformation is no less than a change in an organization’s activities, business processes, competencies, and models that allows it to fully leverage the opportunities of current and future emerging digital technologies. The effort, expense, and pain involved with this type of change may lead some to question the necessity.