DotNet 2019 | Juliet Moreiro - Apps inteligentes con Cognitive Services
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The document discusses how intelligent apps can be built using Microsoft Cognitive Services. It provides examples of how services like face recognition, computer vision, text analytics, speech and language processing can be used to build applications. The presentation highlights various cognitive services capabilities and provides demos of building applications in different domains like transportation, healthcare, and customer service using these services. Resources and links are also shared for developers to learn more about cognitive services and try building intelligent applications.
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DotNet 2019 | Juliet Moreiro - Apps inteligentes con Cognitive Services
- 1. Apps Inteligentes con Cognitive Services
- 3. Juliet Moreiro Bockhop Technical Evangelist at Microsoft @julietsvq jmoreiro@microsoft.com julietmoreiro
- 5. Face recognition Computer Vision Custom Vision Bing visual search #DotNet2019
- 6. Face recognition Computer Vision Custom Vision Bing visual search #DotNet2019
- 7. Face recognition Computer Vision Custom Vision Bing visual search #DotNet2019
- 8. Face recognition Computer Vision Custom Vision Bing visual search CoreML Azure IoT Edge ONNX TensorFlow #DotNet2019
- 9. Face recognition Computer Vision Custom Vision Bing visual search #DotNet2019
- 11. Text Analytics Unified speech LUIS Text translator #DotNet2019
- 12. Text Analytics Unified speech LUIS Text translator #DotNet2019
- 13. Text Analytics Unified speech LUIS Text translator #DotNet2019
- 14. Utterance Intent Entity Data Buy 3 tickets to New York Book Flight Number 3 Location New York Buy a ticket from New York to London on March 5 Book Flight Location London Location New York Datetime March 5, 2018 #DotNet2019
- 15. Utterance Intent Entity Data Buy 3 tickets to New York Book Flight Number 3 Location New York Buy a ticket from New York to London on March 5 Book Flight Location London Location New York Datetime March 5, 2018 #DotNet2019
- 16. Utterance Intent Entity Data Buy 3 tickets to New York Book Flight Number 3 Location New York Buy a ticket from New York to London on March 5 Book Flight Location London Location New York Datetime March 5, 2018 #DotNet2019
- 17. Utterance Intent Entity Data Buy 3 tickets to New York Book Flight Number 3 Location New York Buy a ticket from New York to London on March 5 Book Flight Location London Location New York Datetime March 5, 2018 #DotNet2019
- 18. Utterance Intent Entity Data Buy 3 tickets to New York Book Flight Number 3 Location New York Buy a ticket from London to New York on March 5 Book Flight Location London Location New York Datetime March 5, 2018 #DotNet2019
- 19. Utterance Intent Entity Role Data Buy 3 tickets to New York Book Flight Number 3 Location Destination New York Buy a ticket from London to New York on March 5 Book Flight Location Origin London Location Destination New York Datetime March 5, 2018 #DotNet2019
- 20. Buy 3 tickets to New York #DotNet2019
- 21. Buy 3 tickets to New York #DotNet2019
- 22. Text Analytics Unified speech LUIS Text translator #DotNet2019
- 24. Content Moderator Video Indexer QnA Maker Docker support & More #DotNet2019
- 25. Content Moderator Video Indexer QnA Maker Docker support & More #DotNet2019
- 26. Content Moderator Video Indexer QnA Maker Docker support & More #DotNet2019
- 27. Content Moderator Video Indexer QnA Maker Docker support & More #DotNet2019
- 28. Content Moderator Video Indexer QnA Maker Docker support & More Anomaly Detector PREVIEW Form Recognizer PREVIEW Personalizer PREVIEW #DotNet2019
- 30. Identify customers and staff #DotNet2019
- 33. Vehicle on Shoulder Stopped Motorcycle Pedestrian on the Road Real-time traffic alerts #DotNet2019
- 34. Vehicle on Shoulder Stopped Motorcycle Pedestrian on the Road Real-time traffic alerts #DotNet2019
- 35. Vehicle on Shoulder Stopped Motorcycle Pedestrian on the Road Real-time traffic alerts #DotNet2019
- 37. Reduce the risk of medical falls Occupied bed with bed rails up Occupied bed with bed rails down Patient sitting up in bed Medical Fall Risk Alert • State Detector: DNN trained to locate and flag lowered bed rails or empty beds • Action Detector: Classifier that detects specific actions (sitting up, leaving bed)
- 38. • Cognitive Services directory https://azure.microsoft.com/en-us/services/cognitive-services/directory • Try for free https://azure.microsoft.com/en-us/try/cognitive-services • Container support for Cognitive Services https://azure.microsoft.com/en-us/try/cognitive-services https://github.com/Azure-Samples/cognitive-services-containers-samples • Export Custom Vision Service models to Tensorflow, Onnx, CoreML https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/export-your-model • Python modules https://docs.microsoft.com/en-us/python/api/overview/azure/cognitive-services?view=azure-python • JavaScript modules https://docs.microsoft.com/en-us/javascript/api/overview/azure/cognitive-services?view=azure-node-latest Resources #DotNet2019
- 39. • Content moderator https://westeurope.contentmoderator.cognitive.microsoft.com • Video indexer https://vi.microsoft.com • Custom Vision https://www.customvision.ai/projects • Intelligent kiosk https://github.com/Microsoft/Cognitive-Samples-IntelligentKiosk • Cognitive Services labs https://labs.cognitive.microsoft.com • Open source Cognitive project repos https://opensource.microsoft.com/?tag=cognitive Resources #DotNet2019
- 40. Thanks and … See you soon! Thanks also to the sponsors. Without whom this would not have been posible. @julietsvq julietmoreiro jmoreiro@microsoft.com ”DN2019”