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AI is rapidly transforming industries as organizations invest in advanced technologies to boost revenue, improve margins, and enhance productivity. This surge has driven investment in the creation of AI-related roles, including the chief AI officer (CAIO), which aims to centralize AI integration and mitigate associated risks.

However, despite growing AI investment and the rise of roles like CAIOs, many organizations struggle to align AI with business outcomes.

In response to this challenge, this program merges technical, organizational, and strategic approaches to equip aspiring CAIOs with the skills to lead impactful AI initiatives, identify high-value projects, build scalable infrastructure and capabilities, and drive transformative AI adoption across their organizations.

Key Program Learning Benefits

• Align AI strategy with business goals to drive organizational success 
• Identify impactful AI projects that deliver meaningful and measurable results 
• Create a data strategy to enable successful AI implementation
• Determine the resources needed to deploy, scale, and manage AI across the enterprise effectively
• Establish policies to mitigate risk, comply with regulatory requirements, and ensure trustworthy, secure AI
• Lead with confidence as a strategic officer within your organization

This program will benefit executives who are:

• Leaders in data science and analytics looking to enhance technical expertise and business acumen
• Directors of technology and directors of data analytics
• Chief analytics officers and chief data officers seeking to align their work around AI and AI strategy
• Leaders in the C-suite seeking to expand their knowledge of AI, such as chief information officers (CIOs), chief technology officers (CTOs), chief operating officers (COOs), chief information security officers (CISOs), chief digital officers, and chief product officers

Please note that guest speakers and instructors are representative and subject to change.

Course 1: AI Present and Future
Explore emerging AI technologies, recognize how they may introduce new challenges and opportunities both technically and for the business, and assess the AI maturity of your organization.

Course 2: Business to AI Strategy
Align AI strategy with business goals, identify value-creation opportunities for AI, and measure the ROI for AI initiatives.

Course 3: Data Infrastructure and Technology
Evaluate data strategies, infrastructure, and costs to advance data capabilities for AI success.

Course 4: Deploying and Scaling AI
Build, deploy, and manage scalable AI systems while mitigating risks and optimizing operations.

Course 5: Leading AI Transformation
Design transformation models, align with goals, and build trust among technical and nontechnical stakeholders.

Course 6: AI Governance
Create governance models, ensure compliance, and balance security, ethics, and regulatory standards.

Course 7: Leadership within the C-Suite
Strengthen C-suite collaboration, communicate AI vision, and enhance leadership influence.

Flexible Learning for Your Schedule: Combine self-paced, asynchronous activities with live-online sessions to master concepts at your own pace while engaging with faculty and peers in real time.

Capstone Project for Practical Impact: Apply your knowledge to a culminating project that bridges theory and practice, showcasing your ability to solve real-world challenges.

In-Person Experience for Deeper Connection: Solidify your learning journey with an immersive in-person event, fostering further collaboration, networking, and meaningful connections.