Bridge the AI and Business Skill Gap with the Kellogg Artificial Intelligence Course for Business Growth

The intersection of AI and business is improving how operations are conducted and streamlined across every industrial sector. Senior leaders are expected to leverage AI in business, accelerate outcomes, and gain cost benefits.

A FutureCIO article states that over 50% of senior executives lack the proper understanding required to capitalize on AI and ML technologies.¹ The Kellogg artificial intelligence course for business growth helps leaders think strategically, act quickly, and make profitable business decisions in the age of AI.

The Management Skills That Senior Leaders Need to Close the Gap Between AI and Business

Senior leaders must complement their AI skills with strategic thinking to identify the right business areas for successful AI implementation.

Skills for C-Suite Executives

• Understanding AI’s transformative potential
• Gaining expertise in diverse AI concepts
• Establishing effective data governance policies
• Driving cultural and operational shifts
• Building consensus among stakeholders

Skills for Senior Managers

• Gaining expertise in diverse AI applications 
• Using data to inform marketing strategies and tactics
• Gaining awareness of data bias and privacy issues
• Leading teams through the AI transition
• Collaborating with IT, data science, and other departments
• Evaluating appropriate AI tools and platforms

Skills for Professionals

• Deep understanding of various AI algorithms
• Aligning AI initiatives with business goals
• Using data to identify AI opportunities
• Managing AI projects effectively 
• Identifying and mitigating implementation risks
• Communicating technical concepts to nontechnical stakeholders

How Does the Kellogg Artificial Intelligence Course for Business Growth Bolster AI Skills for Leaders?

The Kellogg artificial intelligence course for business growth is not just about upskilling and gaining fundamental knowledge about AI technologies. It broadens your thinking and perspectives with a practical, behind-the-scenes look at how established organizations and startups put AI to work to create value and disrupt industries. The 2024 Emeritus Impact Survey quoted 87% of learners participating in similar programs reporting positive outcomes for their organizations due to the insights and expertise facilitated by the courses.

Watch how the Kellogg artificial intelligence course for business growth broadens your strategic perspective, helping you narrow the gap between your AI expertise and business leadership.

Generative AI Canvas

The Kellogg artificial intelligence course for business growth recommends a seven-step gen AI framework that considers all the critical aspects from an organizational perspective:

• Step 1 (Business problem): Identify the problem area and its significance that elevates it to the priority list for AI implementation.
• Step 2 (Business value): Accurately estimate the ROI of the AI implementation to the identified business problem.
• Step 3 (Customer value): Ascertain the AI implementation impact on customer experience.
• Step 4 (Initiative objective): Develop the strategy to test, deploy, and scale the gen AI implementation initiative across operation touchpoints.
• Step 5 (Model approach): Identify the AI model and determine how it can be trained, validated, and tested for the initiative.
• Step 6 (Model risk management): Ensure regulatory compliance of the gen AI implementation initiative.
• Step 7 (Data strategy): Map out a data collection strategy aligned with business needs.

AI Capability Maturity Model

To achieve competitive advantages through machine learning and AI tools in all business functions, business leaders must take a step-by-step approach. The Kellogg artificial intelligence course for business growth advises using the AI capability maturity model designed to help leaders achieve this objective.

The AI capability maturity model is characterized by five pillars that are the keys to systematically developing enterprise-grade AI capabilities:

• Pillar 1: Strategic communication skills to propagate the AI vision and secure an organization-wide commitment to the same
• Pillar 2: Accessible, reliable, and secure data/modeling capabilities
• Pillar 3: Rapid ideation and experimentation to scale successes quickly
• Pillar 4: Training and retaining top AI talent, fostering an organizational culture of innovation
• Pillar 5: Responsible and ethical AI software development and implementation

Key Highlights of the Kellogg Artificial Intelligence Course for Business Growth

The Kellogg artificial intelligence course for business growth has helped more than 1,500 professionals upskill themselves. The program aims to bring leaders’ and professionals’ technical expertise on par with the latest AI and ML advancements—all of this in convenient and phased sprints. The program helps professionals take the next step toward devising a winning AI implementation strategy in business while accelerating their professional growth. Here are some of the key highlights of the Kellogg AI Applications for Growth program:

Bite-sized learning: The bite-sized learning approach delivers focused, phase-wise content, enabling you to dedicate your full attention to the curriculum and maximize learning efficiency.

Practical frameworks to drive gen AI strategy: Leverage ready-to-use tools and frameworks such as the gen AI radar and the gen AI canvas matrix to gain insights into real-world AI applications and develop a strategic playbook to drive successful and ethical generative AI initiatives.

Peer learning: Be a part of a learning environment conducive to knowledge-sharing and exchanging ideas and perspectives. This environment also serves as a potential networking touchpoint. 

Business use cases across industries: Gain valuable insights from industry examples such as Microsoft, Teradata, and Infosys to understand how gen AI can be creatively used by platform organizations, enterprises, and startups for business success.

Diverse participants: Be part of a diverse participant pool that spans various departments, levels, and industries. Explore AI applications from multiple angles and uncover novel business opportunities.

Organizations that successfully integrate AI into business will gain a significant competitive edge. Effective leadership is the key to achieving this edge. The Kellogg artificial intelligence course for business growth fosters not only technical expertise but a clear vision that steers an innovation culture, ensures ethical compliance, and harbors the right talent—the three key pillars of effective AI implementation in business.

References

1. FutureCIO