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Scalable Reliance on AI for e-Invoicing, and AI Principles, E32

Applied AI Pod

English - December 27, 2021 01:59 - 47 minutes - 43.7 MB
Management Business Education Self-Improvement nlu applied ai artificial intelligence ai use-cases ai applications at scale nlp computer vision ai practitioners Homepage Download Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Voice AI from the space of VoiceSearch and VoiceServices, E31
Next Episode: AI for Real Estate Customer Goals, E33

02:00 - Ada's performance, stories and metrics around. Size of the impact AI has in this space, as covered by Tradeshift.05:35 - Working with AI/ML teams.14:40 - Assessing how much data is needed for an AI project.18:45 - Data risks.24:25 - Is Agile good for AI teams?27:30 - How much does UX matter in e-Invoicing and ML/Data projects?36:35 - How can projects get derailed or fail? What should we watch out for.40:05 - Funny fails.41:50 - AI principles.

References:

Lloyd's Linkedin ProfileTradeshift's Ada technologyTradeshift's surpass of $1 trillion in transactions processed on their platform.