Data Science - The beating heart of AI
➣ Conference overview and registration
➣ YouTube TFNetworkSummer21 Conference Playlist
Rob Claxton is a Senior Manager at BT Applied Research. He graduated from the University of York in 1993 with a MEng in Electronic Systems Engineering and has spent his career with BT in a variety of technology roles including work on signalling systems and software development for BT’s Intelligent Network platform.
In 2005 Rob joined BT Research where he currently leads the Big Data, Insight and Analytics team and played a key role in BT’s adoption of big data technology.
His team are actively applying machine learning and AI to real-world problems including natural language processing and machine vision. Rob also leads the AI Governance work stream at the TM Forum where he is helping to develop a framework for the safe operation of AI deployed at scale.
The process of building models has a strong emphasis on ‘digital performance testing’. In other words, how accurate is my model? Whilst this makes sense when building prototypes or testing the state of the art, it can lead to problems when developing models for production. In this talk we turn the tables and ask the question, how good does my model need to be?
Are we nearly there yet? Model baselines and Performance
The process of building models has a strong emphasis on ‘digital performance testing’. In other words, how accurate is my model? Whilst this makes sense when building prototypes or testing the state of the art, it can lead to problems when developing models for production. In this talk we turn the tables and ask the question, how good does my model need to be?
No comments:
Post a Comment
Note: only a member of this blog may post a comment.