Machine Intelligence gets real
summary
Machine intelligence moves from lab into production with concrete examples: BuzzFeed applies augmentation to recommend and translate content across editions and reports 8 billion content views a month and hundreds of millions of uniques; Alluvium deploys models for industrial predictive maintenance and stability monitoring across thousands of sensors; Sentient ships three products using deep learning that needs many GPUs, image feature extraction for commerce, trading and online optimization. Common constraints: need clean data, a clear decision question, human-in-the-loop feedback and measurable ROI.
AI-written summary · about
chapters (11)
- 0:00Intro
- 0:37Who are you
- 2:02What is AI
- 4:07How does BuzzFeed leverage Machine Intelligence
- 5:58Humans and Machine Intelligence
- 7:03Industrial and Machine Intelligence
- 9:11Different types of customers
- 14:51Culture at BuzzFeed
- 16:30AI ROI
- 20:06Trends
- 21:05Responsible AI
related talks
10mMachine Learning: The next great leap
47mBuilding smarter apps with Machine Learning, from magic to reality
38mArtificial Intelligence and Machine Learning
30mGenerative AI in action: from POC to business value
44mArtificial Intelligence Reloaded - AI Apps in the Industry
32mMen and Machine: An Artifical Love Affair?
11mUsing AI to extend the range of data scientist
32mMachine Learning for Game Developers