How far does your enterprise want to go with artificial intelligence? Deciding this is what Gartner calls an “AI ambition” — and that's the starting point for spotting AI opportunities and executing on your plans.
To help navigate the opportunities and limitations, Hung LeHong, a Gartner Distinguished VP Analyst whose work focuses on how C-level executives can anticipate changes to business models and customer trends caused by digital business, outlines why defining your AI ambition is the first step to setting up a roadmap for implementation. He also discusses the differences between “everyday AI” and “game-changing AI,” and how leaders can use the Gartner AI Opportunity Radar to decide which ambitious path is right for their organization.
Download Guide: Use the AI Opportunity Radar to Define AI Ambition and Get Your Enterprise AI Ready
Download Workbook: Build an AI Strategy: From Setting AI Vision to Executing Value-Driving AI Initiatives
Read More: Executive Resources: What Generative AI Means for Business
Opening Thoughts
What Is AI Ambition?
Common Misconceptions When Getting Starting With AI
AI as a New Team Member
The AI Opportunity Radar: Everyday AI vs. Game-Changing AI
The Opportunity Radar Quadrants
When to Use Inward- and Outward-Facing AI
The Challenges of Going From Exploration to Implementation
How Cost Drives AI Ambition
Hung LeHong | Distinguished VP Analyst
Hung LeHong is a Distinguished VP Analyst and Gartner Fellow on the Business Growth & Resilience team. He focuses on CEOs and other C-level executives to help them with AI strategy, AI value, and digital business transformation. Hung works with Global 1000 companies across the globe.
Hosted by: Karen Lockhart
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