Graph enhancements to Artificial Intelligence and Machine Learning are changing the landscape of intelligent applications. Beyond improving accuracy and modeling speed, graph technologies make building AI solutions more accessible. Join us to hear about 6 areas at the forefront of graph enhanced AI and ML, and find out which techniques are commonly used today and which hold the potential for disrupting industries.
We’ll provide examples and specifically look how:
Knowledge Graphs make AI solutions smarter
Graph Enhanced Modeling accelerates ML solution development and AI decisions
Global Graph Analytics learn principals for theory development
Graph Systems of Record turn AI development tasks into AI pipelines
Graph Execution of AI will replace rule-based engines and provide essential decision tracking
Graph Visualization of ML and AI processes will express system logic and its changes in human-friendly ways
Mark is active in the software development and database research communities
BCS APSG is trialling video-streaming events. If you cannot attend the event in Central London please join the video streaming on Thursday 14 February 2019 at 6:30pm:
For overseas delegates who wish to attend the event please note that BCS does not issue invitation letters.
Organiser: Advanced Programming SG: www.bcs.org/category/9813