Business Transformation Requires Transformational Leaders
Leadership and teaming skills are front and center in times of rapid change. Meet today’s constant disruption head on with expert guidance in leadership, business strategy, transformation, and innovation. Whether the disruption du jour is a digitally-driven upending of traditional business models, the pandemic-driven end to business as usual, or the change-driven challenge of staffing that meets your transformation plans—you’ll be prepared with cutting edge techniques and expert knowledge that enable strategic leadership.
Recently Published
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.
Flow psychology research reminds us that work is our best chance for a peak experience since it is the best place for us to deeply use our best skills, be challenged, and learn. But motivation is composed of many elements — short- and long-term goals, personal and contextual reasons, essential and hierarchical levels — so finding ways to boost engagement and motivation is a huge, ongoing issue with several dimensions (hence, it’s a complex adaptive system).
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.
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.