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.
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We believe that at the heart of the ability to manage an ongoing and multilayered organizational transformation rests a sophisticated enterprise architecture capability with a specific charter to act as a transformation engine connecting strategic intent and execution excellence.
This Executive Update presents a framework in the form of processes, techniques, measurement metrics, and best practices to guide you toward successful API monetization.
I’ve had the good fortune for decades to work with project managers in companies ranging across many industries. From these experiences, the best project managers I’ve worked with seem to have the following traits.
There is perhaps only one thing more crucial to secure than money: information. The heavy burdens associated with securing the authenticity and history of data are well-known to several sectors.
Based on the demand for Agile skills in the workplace, it is quite clear that leaders across the globe are coming to rely more and more on Agile principles and practices to achieve their goals. What makes some of these leaders successful with their Agile adoptions while other leaders seem to struggle? What is going on in these organizations?
Keng Siau and Weiyu Wang examine prevailing concepts of trust in general and in the context of AI applications and human-computer interaction in particular. They discuss the three types of characteristics that determine trust in this area: human, environment, and technology. They emphasize that trust building is a dynamic process and outline how to build trust in AI systems in two stages: initial trust formation and continuous trust development.
The authors emphasize the need to connect and collectively harness advances in different elements of AI and outline autonomous business entities as examples of convergence of AI. The authors discuss the application of AI, not only to improve business operations, but also for product adaptation and to enable and support business model innovations, thereby making the entire business “smart.” They also explore “data labs” and “data factories,” which facilitate business model innovation. Finally, the authors argue that while AI-driven, radical automation of businesses will replace human work in some areas, humans will remain relevant in others.
Raj Ramesh discusses business model transformation with a focus on the insurance sector. He covers the potential of AI in insurance and then expands his discussion to the ingredients necessary for AI to provide good value to the business in any sector.