Artificial Intelligence: Implications for Business Strategy
Leaders who define and effectively implement an artificial intelligence (AI) strategy will position their companies for growth, agility, superior competitiveness, and better resilience. However, while the strategic and economic benefits of AI are considerable, in the last few years, the number of AI solutions and data management components available in the market has grown exponentially, creating implications for defining a business strategy to compete in the age of AI.
AI solutions can only unlock end-to-end strategic value if all managers and professionals in the enterprise learn how to identify, prioritize, and create strategic business capabilities powered by AI and data-enabled assets in their business areas.
The Artificial Intelligence: Implications for Business Strategy training and certification from Glomark-Governan teaches the participants:
How to define, quantify, and monetize the capabilities, benefits, and strategic outcomes that AI solutions provide to their specific areas and the overall enterprise.
AI and data solutions considerations and implications for their business value plans.
A method to determine which areas of the supply chain, and touchpoints of the customer journey, require priority to be enabled or transformed with AI.
A structured and strategic method for identifying the best type of AI and data solutions for any department or area.
A Value Causation mapping approach for an AI portfolio—from business strategy and organization goals to business capabilities and AI/data technology components.
Infrastructure and risk considerations for a new AI-powered strategy, because of implications from functional silos and legacy systems.
The lessons include industry and function-specific Use Cases with practical examples of AI, data strategies, infrastructure solutions, and hub platforms (i.e., machine learning, advanced analytics, RPA, IoT, data lakes, master data management).
At the center of the Artificial Intelligence: Implications for Business Strategy course are the Strategic Agility, Value Causation, and TBO (Total Benefit of Opportunity) methods from the EVC (Excellence in Value Creation) Framework from Glomark-Governan. EVC is the world’s most advanced and effective value management approach.
What will I achieve?
Understand the operational and strategic business capabilities provided by AI solutions, including Advanced Analytics, Machine Learning, Deep, Robotic Process Automation, and Internet-of-Things.
Learn a practical Value Causation method to assess the impact and uncertainty of AI on the business strategy.
How to define a winning and executable strategy to increase the likelihood that AI solutions enable strategic and economic outcomes.
Know how to map an AI value creation strategy that optimizes the customer value journey and supply chain.
How AI capabilities help the enterprise retain and obtain customers, to increase the enterprise revenue.
Learn how to measure and monetize the outcomes from AI-based initiatives.
Understand how AI can enable your organization to beat your competitors and become a market leader.
Understand the infrastructure requirements to achieve the best strategic value from AI.
Who is this course for?
All leaders, managers, and professionals in all business areas of the enterprise.
Individuals that need to assess and monetize the value of AI an data solutions.
Anyone involved in strategic planning, portfolio management, innovation, product management, and business transformation.
Professionals and departments leaders in all areas of the supply chain and all shared services that manage a budget.
All c-level executives, including CEOs, COOs, CMOs, CIOs, CSOs, CFOs, and CXOs.
What are the course contents?
An introduction to operational and strategic causation with Artificial Intelligence.
The technical, business, and strategic capabilities provided by AI solutions.
Defining a winning Business Strategy with an AI-based transformation strategy.
Risk and implications when defining an AI-powered business strategy or business case.
Identifying areas of the supply chain, shared services, and customer journey that need priority for change and improvement with intelligent, dynamic, and agile assets, using real AI use cases.
Mapping a business strategy enabled by AI—including the layers of technology and business components—to generate strategic capabilities and the expected business outcomes.
How to monetize the outcomes from an AI-based solution.