Foundational AI strategy
AI success depends on a structured approach. This infographic provides a step-by-step guide to building a strong AI foundation covering governance, business alignment, data readiness, and workforce training. View the infographic to learn how to prepare for AI adoption, mitigate risks, and set your organisation up for long-term success. Contact Westcom Networks (UK) Limited for expert AI planning insights.
What is a foundational AI strategy?
A foundational AI strategy involves a systematic approach to developing and deploying AI across your organization. It focuses on five key areas: AI strategy and experience, business strategy, organization and culture, technology and data strategy, and AI governance. This approach helps businesses set meaningful, sustainable, and responsible goals for AI, ensuring that AI applications are effectively integrated across various business units.
How can we ensure responsible AI use?
Organizations can ensure responsible AI use by establishing governance structures that prioritize data privacy, security, and ethical considerations. This includes creating an AI council of senior stakeholders to lead by example, developing responsible AI policies, and implementing controls that govern the use of AI technologies. It's also important to allocate budget for reinforcing data infrastructures and to cultivate a culture of continuous learning around AI.
What are the first steps to take for AI transformation?
To kickstart your AI transformation, consider establishing an AI council with senior stakeholders, developing responsible AI policies, and allocating budget for necessary technology upgrades. Additionally, focus on cultivating an AI knowledge base within your workforce through development and reskilling initiatives. Identifying AI-powered applications that enhance productivity and align with your business objectives is also a crucial step.