Business Technology & Digital Transformation Strategies

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Digital Strategy, Operating Models & Technology Implementation Insight

Boost business success via insights on emerging trends in digital transformation and IT strategy; practical frameworks you can apply; and guidance from the world’s experts in leadership, IaaS, investment prioritization, operational excellence, sustainable innovation, change management, enterprise agility, and applying emerging technologies.

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Recently Published

Digital team
Advisor

3 Tips for a Team to Thrive in the New Digital World

by Paul Pagel

To incorporate a software delivery capability, your team should thrive on adopting new technology, practices, and processes. There are three primary ways companies can do this effectively, as we explore in this Advisor.


The Dangers of AI
Advisor

Don’t Underestimate the Dangers of AI

by Lynne Ellyn

While the capabilities of artificial intelligence (AI) are incredibly useful and offer business and government the opportunity to solve knotty problems, a common question is, “Does this capability pose threats to humans?” Are the sci-fi scenarios of malevolent robots or killer software pro­grams a real concern?


How Should Leaders Adapt to the Next Frontiers in Software?
Advisor

How Should Leaders Adapt to the Next Frontiers in Software?

by Sunil Mithas, by Kaushik Dutta, by San Murugesan

In this Advisor, we discuss several steps senior leaders and managers need to take to avoid the curse of ignoring the need for transformation that afflicted incumbents like Borders and Blockbuster.


Business Technology & Digital Transformation Strategies
Advisor

Taking Your Incident Response Plan to the Next Level: Follow Up and Continuous Improvement

by Aurobindo Sundaram

Most organizations will start with a shell of an IRP and then start filling in the operational details. Typically, this effort begins with a security incident where the response goes horribly wrong. In this Advisor, we describe some of the task areas that add the most value to an organization.


Cyber Swiss Cheese Model. (Source: James Reason, Arthur D. Little.)
Advisor

Building an Effective Digital Defense

by Tom Teixeira, by Immanuel Kemp, by Marc Fitchett

While the world is enjoying the benefits of the fourth industrial revolution, the risks to businesses from cyber threats are increasing in both sophistication and frequency. What can business leaders do to strengthen their resilience to cyber threats? Leaders must first recognize that the risks in the digital space present as real a threat to the success of the business as do the more familiar risks in the physical world. To build effective digital resilience, leaders must adopt a C-suite response, embracing both robust technology and organizational culture approaches.


surprised
Article

Who Knew THAT Would Happen?

by Paul Clermont

Cutter Consortium Senior Consultant Paul Clermont describes some of the impact that AI has had at the boundaries of commer­cial organizations and public policy in an article aptly entitled, “Who Knew THAT Would Happen?” Those of us who have experienced unintended consequences of other technologies will want to answer “anybody” but should remind ourselves that some may not have the memory of prior years, and that hindsight is perfect. Clermont explores how to identify possible unintended consequences in advance and proposes countermeasures to negative unintended consequences in the form of design principles and public policies.


reality
Article

The AI Journey: What Is Real, and What Is AI?

by Lynne Ellyn

Cutter Consortium Fellow Lynne Ellyn recounts her experiences with AI technology in the real world, surveys the current landscape, and identifies key nontechnical issues that companies are likely to face when deploying AI-based systems.


strategic
Article

Strategic Perspectives on AI Product Development

by Pavankumar Mulgund, by Sam Marrazzo

As AI becomes more visible as a corporate strategic tool, organizations will have to incorporate issues surrounding AI as part of corporate strategy. Pavankumar Mulgund and Sam Marrazzo help us by providing a framework for developing an AI strategy. The authors discuss the “minimum viable model” approach to the development of the underlying AI/ML models, along with the platform on which these models run and the inevitable tradeoffs. They conclude their piece by examining some best practices for the successful implementation of AI initiatives.