This whitepaper introduces a new “knowledge domains for AI” framework, offering a practical governance and management approach.
“Knowledge domains for AI are bodies of enterprise information selected as the foundation for well-managed AI agents/chatbots that give accurate and useful responses, while delivering clear business benefits”
The key principle underpinning the concept of “knowledge domains” is that organisations will get the most from AI when they are judicious in where to apply it. Rather than a free-for-all, AI agents and chatbots/bots should be built upon carefully chosen bodies of content that enable the solutions to give accurate and meaningful answers.
In this way, a top-down strategic emphasis on AI can be shaped into a series of deployments that the business can be (reasonably) confident will deliver clear business benefits. The knowledge domains for AI framework also offers a ‘stage gate’ for AI pilots to go through before being deployed into production.
The objectives of the knowledge domains for AI framework is to bring key stakeholders together within an organisation to take a common and aligned approach and to establish systematic approaches for creating and managing agents/bots.
The framework consists of three key elements:
A set of criteria that underpin the successful deployment of effective knowledge domains, while ensuring that they are sustainable and manageable over time.
An approach for mapping knowledge domains, taking into consideration their potential business impact, complexity and degree of risk.
Processes that can be followed when putting the knowledge domains for AI methodology into practice, both at the enterprise level and at the local level within individual business units.
Download the free knowledge domains for AI whitepaper, that digs into each of these components. Start on the journey to establish an enterprise-wide landscape of AI agents/bots that deliver clear benefits while mitigating key risks.
