Premiere

on YouTube ↗09m

" summary

Conference opens with the claim that machine learning won’t put anyone out of a job but will change how work gets done and then moves into concrete tools and demos. Live demos show Weaviate vector search for semantic search, a serverless defect detector built with Amazon Lookout for Vision and AWS services, hands on ML 2.0 examples using Hugging Face transformers, deployment of h2o core on Kubernetes automated with Ansible, and methods to detect silent failures without ground truth via drift detection and performance estimation.

AI-written summary · about

" chapters (14)

1. 0:00intro, sponsors & partners
2. 0:40Jesus Saldana Gonzalez
3. 1:06Felice Pescatore
4. 2:15Johannes Hotter
5. 2:43Vasco Veloso
6. 3:39Joshua Arvin Lat
7. 4:12Laura Ham
8. 5:04Julien Simon
9. 5:35Mohsin Khan
10. 6:20Andrew Knight
11. 6:48Harika Chebrolu
12. 7:28Wojtek Kuberski
13. 8:12Karan Singh
14. 8:46Thank you, Join our Discord to interact!

" related talks

• 08mPremiereZain Hasan, Argo Saakyan, Matt Harrison, David Kjerrumgaard, Gaurab Patra, Tamara Janina Fingerlin, Noa Goldman, Alejandro Cantos, Akmal Chaudhri, Logesh Kumar Umapathi, Abhiram Ravikumar, Yogesh Seenichamy, Daniel Svonava, Jaspal Singh Jhass · Conf42 Machine Learning 2023
• 13mPremiereConf42 Machine Learning 2021
• 54mBuilding smarter apps with Machine Learning, from magic to realityLaurent Picard · Voxxed Days Cluj-Napoca 2018
• 57mBuilding smarter solutions with Machine Learning, from magic to realityLaurent Picard · code.talks commerce 2019
• 01h 41mGetting started with Machine Learning on AWS.Julien Simon · Devoxx Ukraine 2020
• 47mBuilding smarter apps with Machine Learning, from magic to realityLaurent Picard · GDG DevFest Poland 2018 in Wrocław
• 27m[Opening Keynote] Anyscale Demo: Machine Learning Application from Dev to ProdEdward Oakes · Ray Summit 2021
• 17mAI/ML demo derbyZack Akil, Kaz Sato, Markku Lepisto · Google I/O 2021