Artificial Intelligence (AI) and Machine Learning (ML) are umbrella terms for a wide set of algorithms, technologies, and approaches that make software seem “smart.” It is now commonly understood that knowledge graphs can help with many enterprise needs such as addressing key challenges of data governance.

It is also becoming widely accepted that Knowledge Graphs are excellent at guiding and focusing ML and at serving as a unifying fabric for different AI algorithms. Leading companies who are investing in knowledge graphs include Google, Apple, Amazon, Airbnb, Bloomberg, Facebook, LinkedIn, and Thomson Reuters – and these are just a few. In this webinar, we:

• Provide a brief history of Knowledge Graphs
• Demonstrate how they address key challenges of data governance
• Give a concise overview of AI and ML technologies
• Discuss how knowledge graphs provide a powerful platform for both integrated data governance and strategic enterprise AI/Machine Learning
• Showcase specific real-world examples of how knowledge graphs support rules and learning that add new knowledge that can support further learning in a virtuous cycle