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IBM AI Academy

As an executive or business leader, determining how to integrate AI well is likely a top priority for your organization. In this short course, IBM thought leaders share their perspectives about effectively integrating generative AI at the enterprise level. Listen to their advice and gain insights into these key areas for your own organization:

  • Strategies
  • Elements of AI in enterprise
  • Putting AI to work
Read more

As an executive or business leader, determining how to integrate AI well is likely a top priority for your organization. In this short course, IBM thought leaders share their perspectives about effectively integrating generative AI at the enterprise level. Listen to their advice and gain insights into these key areas for your own organization:

  • Strategies
  • Elements of AI in enterprise
  • Putting AI to work

In this short, self-paced course, you’ll learn from these leaders' experiences and expertise cross-functionally and within specific domains regarding generative AI potential. Join us in helping you get started with practical guidance on AI adoption! No prior AI background required.

What's inside

Learning objectives

  • Strategically aligning generative ai with business goals
  • Applying ai elements in enterprise: models and data
  • Fueling enterprise transformation using ai and data
  • Putting genai to work in marketing, hr, itops, finops, and finance

Syllabus

Module 1: Generative AI for Business Leaders
Strategic Essentials
Elements of AI in Enterprise
Putting AI to Work
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Presented by IBM thought leaders, who share their perspectives about effectively integrating generative AI at the enterprise level, which is highly relevant to business
Explores strategies and elements of AI in enterprise, which are essential for executives and business leaders looking to integrate AI into their organizations
Provides practical guidance on AI adoption, which helps executives and business leaders get started with integrating generative AI into their organizations
Examines how to put genAI to work in marketing, HR, ITOps, FinOps, and finance, which are key areas for business leaders to consider

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Reviews summary

Genai integration strategy for leaders

According to the course description (no reviews were available for analysis), the course titled 'GenAI for Execs & Business Leaders: Integration Strategy' by IBM is designed for executives and business leaders with no prior AI background. It aims to provide strategic insights and perspectives from IBM thought leaders on integrating generative AI at the enterprise level. Key topics include elements of AI in the enterprise, putting AI to work in areas like marketing, HR, ITOps, FinOps, and finance. It's described as a short, self-paced course focused on practical guidance for AI adoption.
Insights from IBM thought leaders
"No reviews were provided to generate excerpts."
Shows application in specific departments
"No reviews were provided to generate excerpts."
Covers enterprise integration strategy
"No reviews were provided to generate excerpts."
Aimed specifically at executives
"No reviews were provided to generate excerpts."
Concise overview, not deep technical
"No reviews were provided to generate excerpts."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in GenAI for Execs & Business Leaders: Integration Strategy with these activities:
Review Foundational AI Concepts
Reviewing fundamental AI concepts will provide a solid foundation for understanding the strategic integration of generative AI discussed in the course.
Show steps
  • Read introductory articles on AI and machine learning.
  • Watch videos explaining basic AI algorithms.
  • Familiarize yourself with key AI terminology.
Read 'AI Strategy for Executives'
Reading this book will provide a broader understanding of AI strategy and its application in various industries, complementing the course's focus on generative AI integration.
Show steps
  • Obtain a copy of 'AI Strategy for Executives'.
  • Read the book, focusing on chapters related to strategy and implementation.
  • Take notes on key concepts and examples.
Attend an AI in Business Workshop
Attending a workshop will provide hands-on experience and networking opportunities, enhancing your understanding of AI applications in business.
Show steps
  • Search for AI in business workshops in your area or online.
  • Register for a workshop that aligns with your interests.
  • Participate actively in the workshop activities.
  • Network with other attendees and speakers.
Three other activities
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Show all six activities
Develop a GenAI Integration Proposal
Creating a proposal will help solidify your understanding of the course material and allow you to apply the concepts learned to a real-world scenario.
Show steps
  • Identify a specific business problem within your organization.
  • Research how generative AI can address this problem.
  • Outline a proposal detailing the integration of generative AI.
  • Present your proposal to colleagues for feedback.
Review 'Generative AI: The Insights You Need from Harvard Business Review'
Reviewing this book will provide a comprehensive understanding of generative AI from a business perspective, complementing the course's strategic focus.
Show steps
  • Obtain a copy of 'Generative AI: The Insights You Need from Harvard Business Review'.
  • Read the book, focusing on articles related to strategy and ethical considerations.
  • Summarize key insights from each article.
Pilot GenAI in a Small Project
Piloting a small project will provide practical experience in integrating generative AI and allow you to assess its potential within your organization.
Show steps
  • Identify a small, low-risk project suitable for generative AI.
  • Implement generative AI tools and techniques in the project.
  • Monitor the project's progress and results.
  • Evaluate the effectiveness of generative AI in the project.

Career center

Learners who complete GenAI for Execs & Business Leaders: Integration Strategy will develop knowledge and skills that may be useful to these careers:
Artificial Intelligence Strategist
Artificial intelligence strategists develop and implement AI strategies for organizations. To be effective, you must know how these technologies can be integrated to achieve business goals. IBM thought leaders share their experiences and expertise cross-functionally and within specific domains regarding generative AI potential. This course explores aligning AI with business goals, applying AI elements in enterprise, fueling enterprise transformation using AI and data, and putting generative AI to work in various domains. The course's insights into AI implementation will be directly applicable to your role.
Chief Innovation Officer
A Chief Innovation Officer leads a company's innovation strategy, identifying and implementing new technologies and processes. IBM thought leaders share their perspectives about effectively integrating generative AI at the enterprise level. This course is useful as it provides strategies, an overview of AI elements, and how to put AI to work. Understanding how AI can be applied in marketing, HR, IT operations, finance operations, and finance can help Chief Innovation Officers gain insights to new technology and process opportunities.
Chief Technology Officer
A Chief Technology Officer guides the technological vision of a company, ensuring that technology aligns with business goals. To be successful as a Chief Technology Officer, you must understand how to integrate emerging technologies like generative artificial intelligence into existing systems. The strategies discussed in this course help shape your understanding of AI's role at the enterprise level. Learning about the practical implementation of AI in diverse fields such as marketing, human resources, IT operations, finance operations, and finance helps inform your overarching technology and innovation strategy. IBM thought leaders also share insights on AI elements in enterprise and putting AI to work.
Technology Director
Technology Directors are responsible for overseeing the technology infrastructure and strategy of an organization. As Technology Director, understanding how to integrate emerging technologies like generative AI into existing systems will be very important. The framework and strategies discussed in this course help shape your understanding of AI's role at the enterprise level. Learning about the practical implementation of AI in diverse fields such as marketing, human resources, IT operations, finance operations, and finance informs your overarching technology and innovation strategy.
Digital Transformation Consultant
Digital transformation consultants guide organizations through the process of adopting new digital technologies to improve business processes. You must understand emerging technologies. IBM thought leaders share their perspectives about effectively integrating generative AI at the enterprise level. This course explores strategies for integrating AI and its elements which may be useful to digital transformation consultants. The course also focuses on strategically aligning generative AI with business goals, fueling enterprise transformation using AI and data, and putting generative AI to work in various domains.
Management Consultant
Management Consultants advise organizations on how to improve efficiency and effectiveness. As a Management Consultant, understanding how new technologies like generative AI can transform business operations will be very important. This course shares IBM thought leader perspectives, focusing on strategically aligning generative AI with business goals, applying AI elements in enterprise, fueling enterprise transformation using AI and data, and putting generative AI to work in various domains. This course addresses the core challenges Management Consultants face when helping clients adopt new technologies.
Strategy Consultant
Strategy consultants advise organizations on high-level decisions with the goal of improving performance. As a strategy consultant, understanding how generative AI can transform business operations will be very important. This course shares IBM thought leader perspectives which may be useful to strategy consultants. The course focuses on strategically aligning generative AI with business goals, applying AI elements in enterprise, fueling enterprise transformation using AI and data, and putting generative AI to work in various domains. This course addresses the core challenges strategy consultants face when helping clients adopt new technologies.
Data Science Manager
Data science managers lead teams of data scientists, ensuring that data-driven insights are used to inform business decisions. As a Data Science Manager, you will need to understand how generative AI can be leveraged to enhance your team's capabilities. This course may be useful. This course focuses on aligning AI with business goals, applying AI elements in enterprise, fueling enterprise transformation using AI and data, and putting generative AI to work in various domains. Learning how these technologies can be integrated will be directly applicable to your role.
Innovation Manager
An innovation manager fosters a culture of creativity within an organization and works to implement new ideas. As innovation manager, you will need to assess the potential of generative AI to improve various business functions. This course may be useful to you. IBM thought leaders share their perspectives about integrating generative AI at the enterprise level, covering strategies, elements of AI in the enterprise, and practical applications. The course's insights into aligning AI with business goals, applying AI elements, fueling transformation, and implementing AI in specific domains inform your innovation strategy.
Operations Manager
Operations managers oversee the day-to-day activities of an organization, ensuring that processes run efficiently. As Operations Manager, you must understand how generative AI can improve various business functions. This course will be directly applicable to you. This course explores strategies for integrating generative AI at the enterprise level. The course considers how AI can be applied in marketing, HR, IT operations, finance operations, and finance. This is particularly valuable for identifying areas where AI can streamline processes and improve overall efficiency.
AI Product Owner
AI Product Owners define and manage AI-powered products, bridging the gap between technology and business needs. Those who wish to become AI Product Owners may find this course to be useful. IBM thought leaders share their perspectives about effectively integrating generative AI at the enterprise level. The course covers strategies, elements of AI in enterprise, and putting AI to work in specific domains. It is particularly helpful in making decisions about product development and feature enhancements.
Business Development Manager
Business Development Managers are responsible for identifying and pursuing new growth opportunities for a company. Staying ahead of emerging technologies is essential to identifying these opportunities. This course helps Business Development Managers. This course explores strategies for effectively integrating generative AI at the enterprise level. Insights into how AI can be applied in marketing, HR, IT operations, finance operations, and finance, are particularly valuable for identifying new market segments and potential partnerships.
Business Analyst
Business analysts analyze business processes and identify areas for improvement. As a Business Analyst, you need to understand how generative AI can be leveraged to enhance business operations. This course may be useful. The course focuses on aligning AI with business goals, applying AI elements in enterprise, fueling enterprise transformation using AI and data, and putting generative AI to work in various domains. Learning how these technologies can be integrated will be directly applicable to your role.
Human Resources Manager
Human resources managers are responsible for overseeing employee-related functions within an organization. Generative AI is poised to greatly impact how human resources departments operate. By taking this course, you will learn how AI can be used in human resources. This course teaches strategies for integrating generative AI at the enterprise level. It describes how AI can be applied in marketing, HR, IT operations, finance operations, and finance. The course's HR-specific insights are invaluable for leveraging AI to improve employee engagement, talent acquisition, and training programs.
Product Manager
Product managers oversee the lifecycle of a product, from ideation to launch and beyond. As Product Manager, you must understand how new technologies can enhance products. This course helps product managers integrate generative AI effectively at the enterprise level. The course describes strategies, AI elements, and practical applications of AI, informing decisions about product development and feature enhancements. Understanding how AI can be applied in marketing, HR, IT operations, finance operations, and finance also helps you identify new product opportunities.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in GenAI for Execs & Business Leaders: Integration Strategy.
Offers a collection of articles from Harvard Business Review on generative AI. It covers a range of topics, including the potential impact of generative AI on various industries, the ethical considerations, and the strategic implications for businesses. It useful reference tool for executives seeking to understand the broader context of generative AI. This book adds more depth to the course by providing diverse perspectives from leading experts.
Provides a comprehensive overview of AI strategy, tailored specifically for executives. It covers topics such as identifying AI opportunities, building an AI roadmap, and managing AI risks. It valuable resource for understanding how to align AI initiatives with business goals, which core objective of this course. This book adds breadth to the course by providing real-world examples and case studies.

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