Implementing AI Solutions in Business

Overview

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Artificial Intelligence (AI) is being adopted at a faster and faster rate due to the increase in compute efficiency, decrease in compute costs, and heightened democratization of foundational models. Businesses from all industries are seeking ways to leverage AI to optimize processes, improve customer experience, and drive business value.

In this course, you'll learn how to successfully implement an AI solution for your business. You'll identify appropriate business use cases, build a proof of concept, measure success, and evaluate how to move from POC to a fully implemented solution. You'll learn how Responsible AI, security, and upskilling are equally important components.

At the end of this course, you will be equipped with a guide to start building an implementation strategy for your business.

Syllabus

Getting Started with AI

Learn what AI is, how it has evolved, and how it is different from other non-AI data solutions. In this chapter, you will begin building a framework for how to implement AI into your business, including key elements to an AI strategy, phases for implementation, and basic technical design. Finally, you'll learn about the importance of Responsible AI governance throughout the entire process.

Benefits, Limitations, and Use Cases of AI

You now know what AI is and how to think about it responsibly. It's time to gain a better sense of its benefits, limitations, and use cases in business. In this chapter, you'll do just that! You'll understand the value AI can bring to an organization as well as the areas it lacks in. You'll go through some high-level use cases across different departments in a business. Finally, you'll learn about principles for choosing a great use case for an AI solution.

Building a Proof of Concept

With use cases in mind, it's time to build a proof of concept! This is a small project that will determine the feasibility and estimate further business value if fully implemented. In this chapter, you will learn the phases of a POC, what makes them successful, and the important components to think about regarding technical infrastructure and data. Finally, you'll learn about the types of roles required for your POC project team.

Beyond the POC

In this final chapter of the course, you will learn the final steps of an AI solution implementation - assessing the POC, scaling, and aligning culture and skills. You will understand the areas in which a POC can be evaluated as well as what are good indicators for moving forward with scaling the solution. You will go over the big components to focus on for scaling to a full implementation, including requirements for culture and upskilling folks in your business.