Most organizations can get much more from developments in advanced knowledge engineering and artificial intelligence (AI) than they currently do. Recent advances in higher computing plus an abundance of open-source solutions (e.g.: OpenAI, and multiple Large Language Models)
The interest is there, but organizations continue to face challenges realising the full promise of advanced data solutions. One of the main reasons is the absence of clear strategies for sourcing what the AI requires, which results in an inability to explain how AI arrived at its output.
The Semantic Layer is emerging as a pivotal force, transcending traditional data structures and fostering a new era of comprehension and connectivity that can overcome this barrier and enable organizations to realise the full promise of AI.
This presentation:
- Uses real world experience to:
- Explore the realm of semantic solutions
- Reveal the transformative power of ‘The Semantic Layer’ to enhance knowledge capture, data integration, interpretation, and decision-making across diverse domains.~
- Envisions the future:
- Unveiling the role semantics has in Artificial Intelligence (AI) – to shape intelligent systems that do more than crunch massive numbers.
Explains how AI will represent your organization in the way it truly wishes.
