Extraordinary Times

Session 1: Our Extraordinary Times
Dr. Art Murray

Wednesday, May 17, 2023 12:00-1:00 pm USA EDT (1600-1700 UTC)

In almost every aspect, we can best describe the current times as “extraordinary,” filled with both threats and opportunities. Such extraordinary times demand extraordinary leadership. Traditional approaches simply won’t work. In this and in the seven sessions that follow, we will explore the new styles of leadership needed to succeed in this challenging environment

About Session: 01

This session begins with an overview of the many serious threats and challenges we’re facing now and in the coming years. The question is: “How do we turn these threats into opportunities?” The answer, of course, is LEADERSHIP! “What kind of leadership,” you might ask? We know that authoritarianism, for example, which some are pushing for, is not the answer. Fortunately, each member of our team has spent decades exploring different types of leadership, each of which are needed for the current extraordinary times in which we’re living. This session will present an overview of each of six unique leadership styles, and how, when properly integrated, will help you succeed in the coming years

About Speaker

Dr. Art Murray

Co-Founder of Applied Knowledge Sciences Inc. where he has served as CEO for over 27 years. Since 2005, he’s been IIKI’s Director of the Enterprise of the Future Program, the results of which are published in the book: “Building the Enterprise of the Future: Co-creating and delivering extraordinary value in an eight-billion-mind world.” He’s also the author of: “Deep Learning Manual: the knowledge explorer’s guide to self-discovery in education, work, and life.” For the past 17 years, he has written KMWorld magazine’s popular column: “The Future of the Future.” He has led Knowledge Management projects for government ministries around the world in Defense, Law Enforcement, Higher Education, Public Health, and whole of government, and for private sector companies in energy, aerospace, finance, agriculture, and many other areas. His current focus is on human and machine knowledge governance, and developing systems in which humans teach machines and machines teach humans, including a system for detecting and responding to weak signals on large, complex projects.