The immediate future of AI isn’t about building entirely autonomous systems, but about augmen­tation; helping experts see the bigger picture and giving them the ability to react to it more quickly. This Cutter Business Technology Journal issue considers the opportunities as well as the unintended consequences of AI technologies.

Creating a business architecture is a sustainable option to design and implement transformation opportunities. Once an organization decides to take this path, it needs to ensure that the journey is smooth. This Advisor identifies 10 mistakes organizations can avoid when starting up the business architecture function.

This edition of The Cutter Edge explores how organizations can make the move towards enterprise agility, how fully homomorphic encryption can address concerns of data privacy and vulnerability, and more!

This edition of The Cutter Edge explores how organizations can make the move towards enterprise agility, how fully homomorphic encryption can address concerns of data privacy and vulnerability, and more!

The appeal of LC/NC environments in the RPA world primarily stems from their ability to shield the user from the complexities of RPA application development. The goal is to enable business users to automate low-level RPA and other simple workflow automation tasks using visual, point-and-click/drag-and-drop interfaces. This Advisor explores the benefits and applications of LC/NC in an RPA environment.

The growing availability of product, service, and ven­dor choices across the board means that organizations need a balance of metrics to provide accurate, timely insight for decision making and continuous improve­ment.

How do we identify the metrics that matter most? This Advisor explores the goal-setting system and approach known as objectives and key results (OKRs) and identifies where it complements business agility efforts.

As a fast-evolving area, AI presents innumerable opportunities and applications that we haven’t even imagined yet. This issue of Cutter Business Technology Journal discusses the current factors and considerations surrounding AI today and take a look at where trends might be heading in the future.

As a fast-evolving area, AI presents innumerable opportunities and applications that we haven’t even imagined yet. This issue of Cutter Business Technology Journal discusses the current factors and considerations surrounding AI today and take a look at where trends might be heading in the future.

Jayashree Arunkumar outlines how five AI trends are being slotted into real-world use, including graph-accelerated ML, generative AI, edge AI, artificial general intelligence, and coding. Arunkumar then examines how AI is helping the environment by accelerating the pace of delivering on the United Nation’s Sustainability Development Goals and how it might apply similar tactics to help improve world health. The article closes with four of the most recent AI developments.

Jayashree Arunkumar outlines how five AI trends are being slotted into real-world use, including graph-accelerated ML, generative AI, edge AI, artificial general intelligence, and coding. Arunkumar then examines how AI is helping the environment by accelerating the pace of delivering on the United Nation’s Sustainability Development Goals and how it might apply similar tactics to help improve world health. The article closes with four of the most recent AI developments.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.