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Five Questions You Should Ask About AI
Duration
0.5 Hour
Course
WEB-AI-202602
Available Formats
Webinar
Course Description
Overview
Artificial Intelligence is rapidly moving from experimentation to business transformation. Yet for executives, the most important questions are not about selecting a particular model, platform, or cloud provider. They are about strategy, business value, risk, and organizational readiness.In this focused 30-minute session, a LearnQuest Network Expert will introduce five essential questions every leader should ask before investing in or scaling Generative AI. Whether your organization is exploring Microsoft Copilot and Azure AI, AWS and Amazon Bedrock, OpenAI, Anthropic Claude, or a combination of platforms, these questions will help you evaluate opportunities, prioritize investments, and establish a responsible path forward.
Objectives
You’ll leave with a clearer understanding of AI’s business potential, the risks that require executive attention, and the five decisions leaders must make to turn AI experimentation into measurable organizational value.
- Why AI has become an urgent business priority
- Where Generative AI can create meaningful, measurable value
- How to identify business challenges that are well suited for AI
- Which risks and governance considerations leaders must address
- How to move from isolated experiments to scalable AI adoption
Audience
This webinar is designed for:
- Executives and senior business leaders
- Directors and department leaders
- Technology and transformation leaders
- Strategy, operations, and innovation teams
- Decision-makers responsible for AI investment, adoption, or governance
Prerequisites
-
No technical AI experience is required.
Topics
1. Why should we care about AI right now?
- Understand the market, workforce, and technology shifts making AI a strategic leadership issue—not simply an IT initiative.
- Explore how organizations can use AI to improve productivity, accelerate decision-making, enhance customer experiences, and create new capabilities.
- Learn how to distinguish strong AI opportunities from projects that lack a clear business need, sufficient data, or measurable outcomes.
- Examine the critical considerations surrounding governance, privacy, security, accuracy, intellectual property, and responsible use.
- Discover what it takes to move beyond disconnected pilots and build the strategy, skills, governance, and operating model required for sustainable adoption.
- This session is not about choosing between Microsoft, AWS, OpenAI, Anthropic, or another technology provider. It provides a practical leadership framework that applies across platforms, helping decision-makers focus on the business questions that should guide every AI investment.
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- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
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Please take a moment to fill out this form. We will get back to you as soon as possible.
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