Session 3: Hindsight to Foresight: Value Driven Strategic Planning
Dr. Annie Green
Wednesday, May 31, 2023
12:00-1:00 pm USA EDT (1600-1700 UTC)
Origin provides context and perspective—ab initio, or “start from the beginning”—that which is new comes from that which is old!
The origin of strategy is a plan of action. So, one should plan from where they have been or are, to establish the path forward. Enterprise strategy is the brainchild of leadership and management to optimize the performance of their enterprise. Strategy identifies the empirical games that an enterprise should play to achieve its goals and objectives. “Empirical games,” because the goals and objectives within an enterprise’s strategy are based on observation, practical experience, and experimentation, rather than fact-based evidence. Although many organizations do have key performance indicators (KPIs) that are captured, modeled, and analyzed, it is questionable if these KPIs adequately represent the value performance drivers within the enterprise. Current KPIs are sometimes thought to be proxy-based or anecdotal; a casual or informal collection of data used in strategy formulation.
However, there is a synergistic relationship between artificial intelligence (AI) and building a plan of action that dynamically guides the enterprise to success. Knowing how and where AI fits into the strategic management process and the changes that are necessary to achieve its integration are the questions to be answered. Strategy formulation forces one to look at the changing environment and to position the organization to compete in an ever-changing business landscape. Imagine if there were a framework that facilitated the automation of strategy formulation that looks at the past and the present to expedite access to business intelligence and knowledge to build an enterprise’s strategy. This is the first step to enhancing the integrity of enterprise strategy.
Dr. Annie Green is a Digital Thought Leader and Knowledge Strategist/Architect. She advocates for leadership and management of organizations to learn what they need to know to improve the overall health and performance of their organization. She provides the “big picture” that gives a more holistic solution. Her 30+ years of expertise have resulted in a harmonious blend of theory, practice and continuous learning focused on optimizing business/IT alignment, data management, artificial intelligence, knowledge management, digital transformation, change management, and governance, in commercial, public, and government sectors.
She is an advisor, professor, lecturer, speaker, journal reviewer, author, served as the lead faculty member for the KM Global Network’s (KMGN) online course “KM in AI,” currently serves as the KMGN’s liaison to the International Institute for Knowledge and Innovation (IIKI), the current Director of Education Programs and Partnerships for IIKI, the co-founder of the Knowledge Management Education Forum (KMEF), served as the lead organizer of the International Conference on Intellectual Capital, Knowledge Management, and Organizational Learning (ICICKM-2013), and served as a committee member on the National Academy of Science, Engineering, and Medicine (NASEM) investigative studies.
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