Developing an AI Strategy

Provides a comprehensive framework for creating and implementing a successful AI strategy tailored to your organization's needs and goals.

Drawing on insights from the "School of Data," an impactful program designed to accelerate enterprise value with AI, this presentation guides attendees through a proven process for navigating the complex landscape of AI adoption and maximizing return on investment.

Key topics covered include:

• The Business Imperative for AI:

  • The talk will begin by highlighting why businesses need a robust AI strategy in today's data-driven world. The sources emphasize that AI and data strategies are often disconnected from core business objectives, resulting in only 10% of organizations realizing significant financial benefits from AI. This disconnect underscores the need for a strategic approach to AI adoption.

• Bridging the Gap Between Strategy and Execution:

  • The presentation's core focus is bridging the gap between AI aspirations and tangible business outcomes. It outlines a four-phase process for establishing responsible AI guiding principles, assessing current AI maturity, prioritizing opportunities, and building a comprehensive roadmap.

• Aligning AI with Business Value:

  • The talk emphasizes the importance of aligning AI initiatives with overarching business objectives to ensure they drive measurable value.

  • It provides a framework for creating a unified strategy that connects organizational goals with specific AI initiatives, resource allocation, and budget planning.

  • This alignment is crucial for securing buy-in from stakeholders and ensuring that AI investments deliver a tangible return.

• Assessing and Addressing AI Maturity:

  • The presentation guides attendees through assessing their organization's current level of AI maturity across five key dimensions: vision and strategy, AI operating model, AI engineering and operations, data and technology, and talent and skills.

  • This assessment helps pinpoint areas for improvement and provides insights into the organization's readiness to adopt and scale AI solutions.

• Prioritizing Opportunities and Developing Policies:

  • The talk outlines a systematic approach for prioritizing candidate AI opportunities based on business value, project complexity, and alignment with responsible AI principles.

  • This prioritization framework ensures that organizations focus on high-impact initiatives that align with strategic goals and ethical considerations. The presentation also emphasizes the importance of developing explicit policies for AI usage to mitigate risks and ensure responsible implementation.

This presentation provides a clear and actionable framework for developing an AI strategy that will empower your organization to harness the power of AI, drive innovation, and achieve sustainable business success.
Attendees will leave this talk equipped with the following:

• A deep understanding of the key components of a successful AI strategy.

• Practical tools and frameworks for assessing AI maturity and prioritizing opportunities.

• Insights into aligning AI initiatives with business objectives and maximizing ROI.

• A roadmap for building a data-driven culture that embraces responsible AI principles.