About

As the adoption of AI skyrockets, it’s very easy to lose sight of what you’re trying to build and how it should fit together to drive value in your business. Companies need to be able to incrementally build data products, business intelligence, machine learning models, and AI agents and bring them together to be used in the context of specific tasks in different processes across the enterprise to drive value. They also need to make data AI ready and ensure all AI-Agents have access to common semantics for consistent understanding of data meaning, data relationships and relevant information.

In this keynote presentation, veteran independent IT industry analyst and consultant in data and AI, Mike Ferguson walks through what needs to be done to build an artificially intelligent enterprise and achieve consistent semantics for consistent AI-Agent reasoning. Participants will gain insights into the strategic, technical, and organisational requirements for harnessing data and AI to transform business operations and deliver measurable value. They will also understand how an enterprise semantic layer can be implemented to provide consistent meaning for both people and AI Agents.

Takeaways:

• The Roadmap to AI-Driven Business: Understand the demand, challenges, and vision for becoming a data and AI-driven organisation.
• Building Blocks of the Intelligent Enterprise: Learn what technologies, architectures, and governance frameworks are essential to support integrated data and AI initiatives.
• Incremental Development for Maximum Impact: Discover how to empower democratised teams to build data products, ML models, AI-ready knowledgebases and AI agents iteratively while staying aligned with business outcomes.
• Implementing an Enterprise Semantic Layer for Consistent Meaning and Context: Aligning data concepts, data relationships, business glossary terms, data products, taxonomy and ontology and creating a knowledge graph that provides consistent meaning and context to both people and AI agents across the enterprise
• From Insights to Action: Explore strategies to enable AI-Agent collaboration, agentic workflow and to integrate analytics, AI agents, and machine learning into applications and processes for actionable, enterprise-wide impact.