Implementing AI in Business: Strategies for a Data-Driven Enterprise

Dive into the dynamic world of Artificial Intelligence (AI) with this one-day course, Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise. Designed for business stakeholders, the course provides a panoramic yet nuanced view of AI’s transformative capabilities and serves as both a primer and a catalyst for action.

The course explores the pivotal role of data collection and storage, the relationship between Big Data, Data Science, and AI, and how these elements work together to support business goals. Participants learn how to evaluate AI applications, compare cloud-based versus on-premise solutions, understand the factors involved in building effective data science and AI teams, and become familiar with essential AI frameworks and tools. Bonus topics include Generative AI and emerging trends in data analytics and machine learning, helping participants anticipate and adapt to rapidly changing technologies.

Through engaging lectures, demonstrations, and interactive discussions, participants leave with actionable insights and a practical roadmap for implementing AI initiatives that drive meaningful business change.

By the end of this course, participants will be able to:

• Identify which data is most useful to collect and understand why early data collection is critical
• Understand the intersection of Big Data, Data Science, and AI (Machine Learning / Deep Learning)
• Explain how AI can support business goals and create competitive advantage
• Evaluate factors involved in choosing AI-driven systems, including cloud-based versus on-premise solutions
• Explore common AI tools and technologies to support informed decision-making
• Understand the skills and roles required to build effective data science, AI, and machine learning teams

This introductory-level course is geared toward business stakeholders who are directly involved in or impacted by AI-driven initiatives, including:

• C-suite executives
• Business unit leaders
• Product managers
• Innovation strategists
• Data analysts
• IT managers
• Project managers

There are no formal prerequisites for this course. However, it is helpful to have:

• A basic understanding of business metrics and key performance indicators (KPIs)
• Elementary data literacy
• Basic knowledge of project management concepts
• General comfort with technology and digital tools