Leading AI Projects and Building the Right Culture

Overview

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Artificial intelligence has the potential to transform organizations, but unlocking real business value from AI requires more than just technology. This course explores the essential strategies that help organizations successfully create value through AI initiatives. It focuses on leadership, culture, data, and talent as the key pillars that drive successful AI adoption. Throughout this course, learners will discover how to lead AI-driven projects and align them with business goals. You will learn how organizations build an AI-friendly culture, manage data effectively, and develop the right talent needed to support AI initiatives. By understanding these core elements, you will be able to support AI strategies that generate measurable impact. What makes this course unique is its balanced approach that combines strategic concepts with real-world business practices. It connects AI theory with practical insights that help organizations turn AI investments into meaningful outcomes. This course is ideal for professionals involved in digital transformation, AI strategy, or technology leadership. A basic understanding of business operations or technology concepts will help learners gain the most from the course. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization. From The Secrets of AI Value Creation This edition first published 2024 by John Wiley & Sons, Ltd Copyright © 2024 Michael Proksch, Nisha Paliwal, and Wilhelm Bielert Used by arrangement with John Wiley & Sons, Inc.

Syllabus

Leading Successful Projects

In this section, we examine how structured project management frameworks reduce AI project failure rates by addressing risks, aligning with business needs, and ensuring accurate value estimation and stakeholder engagement.

Cultivating an AI-Friendly Culture

In this section, we examine how organizational culture shapes AI perception and adoption, emphasizing the need for aligned strategies to foster sustainable AI integration and identity.

Technology

In this section, we explore hardware and software components for AI pipelines, cloud services for scalability, and tools like TensorFlow and PyTorch for AI development and deployment.

Data Management

In this section, we examine data life cycle strategies, cost distribution in data management, and secure governance frameworks to enhance AI performance and operational efficiency.

Talent

In this section, we examine the critical talent requirements for AI value creation, focusing on evolving competencies, role definitions, and the importance of strategic investment in the right skill sets.