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
Cutter Fellow Steve Andriole presents a brief, multifaceted overview of AI — “the good, the disruptive, and the scary” — and sets the backdrop for further exploration. He outlines some recent advances in and key limitations of AI and explores how AI could disrupt several domains, such as insurance, banking, law, real estate, and education. He then discusses the impact that the deployment of intelligent systems will have on jobs and the professional opportunities that will arise.
We hope the articles in this issue present perspectives and ideas on fulfilling the promise of artificial intelligence and that you’ll find them interesting, insightful, and practical. The articles will help you “imagine the new possible” and inspire and encourage you to harness advances in AI in your domain of interest, addressing any concerns and limitations, for good.
“The purpose of a system is what it does” — referring to “system” as the company as a whole — means that a company’s statements of intent (“we are an innovative, digital native company”), or even its market analysis or the initiatives it has undertaken, are secondary to what a company actually does.
The industry is ripe for transformation in areas including customer service and marketing, claims management and fraud detection, and underwriting.
This Advisor explores one approach that has been particularly effective in making enterprise architects understand the realities of organizational change in their own context.
Artificial intelligence (AI) in all its various forms — machine learning (ML), natural language processing (NLP), speech recognition, cognitive systems, intelligent agents, chatbots, and robotics — is generating intense interest across every industry — from consumer electronics, banking, and finance to automotive, insurance, healthcare, government, aerospace, big pharma, retail, and manufacturing.
In this Advisor, we consider what leaders are expected to do within Agile organizations, then see how these duties translate to a set of desired skills and personality traits.
The existence of a digital backbone in an organization means that anyone aspiring and planning to transform different parts of the enterprise will be able to leverage the digital backbone in a consistent and sustainable way, ensuring that each effort connects to and leverages a common platform.