Level: Beginner to Intermediate
Prerequisite: None
In today’s artificial intelligence (AI) landscape, data, analysis, AI, and business leaders rely on data more than ever to make strategic decisions and boost business performance. While deriving insights from LLM (large language model)-based tools like ChatGPT, Gemini, and Copilot has become much easier, effective validation and communication of the insights derived to propel action remains a challenge for managers and leaders. In this course, students will learn to tackle these challenges.
Communicating insights goes beyond simply presenting data or KPIs or insights. It encompasses collecting the right data, deriving insights, targeted messaging, creating trust and cultural awareness, engaging with the right stakeholders, creating impactful visuals, compelling narration, and more. Whether you are technical or non-technical, this course will help you convey the power, limits, and implications of AI in ways that resonate with your audience to drive tangible business impact.
You Will Learn
- How to translate AI and analytics outputs into clear, actionable business insights for both technical and non-technical stakeholders
- Data storytelling techniques to present AI-driven findings in a compelling and context-rich manner
- How to use data visualization models and best practices to enhance clarity, reveal patterns, and highlight key messages
- How to tailor communication approaches based on audience needs, decision-making context, and the level of technical understanding
- Techniques to explain AI model results, limitations, and risks (such as bias, uncertainty, and ethical considerations) in a responsible and transparent way
Geared To
This course is designed for professionals who work with data, analytics, or AI and need to effectively communicate insights to drive understanding, alignment, and action. It is ideal for:
- Business intelligence and reporting professionals responsible for turning data into clear, impactful stories
- Data analysts, data scientists, and AI/ML practitioners who need to explain model behavior, outcomes, and limitations to non-technical audiences
- Project managers, product managers and business leaders looking to better interpret and communicate AI-generated insights in strategic decision-making
- Consultants and strategy professionals who must translate data and insights into business value for clients or executives
- Communications and change management professionals supporting AI and data-driven transformation initiatives
- Anyone bridging the gap between data and decision-making, including those in operations, marketing, finance, or HR