Effectively managing AI’s carbon footprint requires a shift to a system like regenerative capitalism or doughnut economics that does not emphasize continuous growth or increased consumption. However, the novel opportunities AI offers society make it difficult for many to accept the idea that data consumption related to AI must be managed. The 3Rs framework presents an alternate system grounded in regenerative capitalism and doughnut economics as a way to reduce the carbon footprint of data.

In a recent issue of Amplify, Torgeir Dingsøyr and his coauthors presented a teamwork effectiveness model aimed at co-located Agile development teams working on a single product. Since the publication of that issue, Dingsøyr has been asked to present the team effectiveness model to a number of organizations. In this Advisor, he addresses a recurring question from those experiences: how does the team effectiveness model adapt to post-pandemic work?

Drawing on the results of a recent ADL survey, this two-part Advisor series considers how companies are progressing in embedding sustainability into their strategy, governance, and organization. Here in Part II, we look at two other challenges uncovered by the survey, as well as lessons learned.

Explainable AI (XAI) is the discipline of going deeper within the AI system, identifying the reasoning behind the recommendations, verifying the data, and making the algorithms and the results transparent. XAI attempts to make the analytical recommendations of a system understandable and justifiable — as much as possible. Such explainability reduces biases in AI-based decisions, supports legal compliance, and promotes ethical decisions.

True strategy execution takes a village. To really succeed, we need to consider the entire process to move an idea into action — from innovation and strategy formulation through the delivery of results. A formalized and cohesive process is necessary to develop strategies, architect changes, plan initiatives, execute solutions, and measure success. It requires integrating many different teams and creating end-to-end transparency and accountability for the results.

Drawing on the results of a recent ADL survey, this two-part Advisor series considers how companies are progressing in embedding sustainability into their strategy, governance, and organization. Here in Part I, we look at two of the main challenges that companies face and how they can be best overcome.

In this Advisor, we identify a number of important trends involving the application of artificial intelligence (AI), big data analysis, collaboration, mobile, and other technologies in insurtech.

This Advisor explores 12 key leverage points for change within the New York City Waste system. Grouping the leverage points into broader buckets (low, medium, and high impact) gives us an uncomplicated categorization of solutions that tells us how much energy we should invest in supporting or opposing that solution.

In the shift toward data-driven healthcare, focusing only on new technologies is not sufficient. Indeed, how data is gathered and how stakeholders’ interests are managed can enable or hinder the transformation. This Advisor explores eight drivers of data-driven healthcare.

Teamwork effectiveness models are based on accum­ulated empirical observations and reasoned arguments, and identify and describe key factors necessary for effective teamwork. Our model, tailored for Agile practitioners, offers insights into effective Agile teamwork and explains how certain Agile practices support it.

This Advisor presents a mini case study to highlight the conflicts between market-based social activism and the traditional business model.

As we explore in this Advisor, machine vision systems employing machine learning and other artificial intelligence techniques are now bringing major benefits to automakers, dealers, and repair shops in the form of camera-based automated vehicle inspection systems.

In this Advisor, we discuss the idea that managers can and should use softer, psychological skills to build and maintain successful teams.

This Advisor commemorates World Environment Day 2022 by looking at the potential impact of the climate crisis and identifying promising options to address the worsening environmental problem.

This Advisor looks at the key roles that AI can play in cybersecurity operations: behavioral analytics, threat intelligence, ransomware attack detection, smart identity governance, strengthening security of cloud applications, online fraud detection, defending against deepfakes, and risk assessment.

We believe that a radical shift in MBA education is needed. Instead of transmitting existing knowledge or developing a set of functional skills, students must become comfortable with the process of thinking based on America’s unique contribution to the history of philosophy: pragmatism. 

The right hemi­sphere of the metaphoric brain of firms will track and reflect changes in its employees’ brains, so firms must introduce new practices requiring mastery of the right hemisphere. As that shift occurs, the negative conse­quences of the firm’s actions should begin to abate.

Northwestern Medicine has developed a very innovative NLP application — integrated within the hospital EHR system — designed to solve a practical and pressing healthcare problem: missed follow-ups associated with incidental findings from diagnostic imaging. This Advisor explores the significance of this innovative artificial intelligence application.

The inner-leader journey will help you see reality more as it truly is and give you the insight, wisdom, and courage to share it with others. I believe it is critical for our teams and team members to make this shift in order to thrive and achieve success in a turbulent world.

Material desires instigate purchases intended to bolster significance, which fosters increased materialism. Purchases increase GDP, which creates jobs and financial well-being and facilitates more purchases. Increased production to raise GDP uses carbon-based resources and further depletes them. This interdependence has locked society into what psychologists call a “social trap,” in which the pursuit of short-term individual gains leads to a loss for the group as a whole in the long run.

In this Advisor, we talk about two of the near-term challenges in the pharma data processing space: data standards and data quality management.

When looking at the characteristics of both the Industrial Revolution and the new knowledge revolution, there is a synergy between them that is critical to helping us understand how to reconcile them.

For Earth Day 2022, let’s examine the climate and environmental risks and challenges facing us and how we can help address them and regain the glory of the Earth and the environment on which we largely depend. While there are amazing ongoing efforts, much more needs to be done by each one of us, including businesses, governments, and regulatory agencies.

Healthcare and life sciences companies are applying machine learning, Internet of Things, big data analytics, wearables, blockchain, and other advanced technologies across various processes and operations. Simply put, the degree of innovation taking place within these industries utilizing these technologies is stunning — even to the point where we are seeing new business models that could potentially threaten existing industries.