Conversational AI updates for July 2019
With the Bot Framework release in July, we are happy to share new releases of Bot Framework SDK 4.5 and preview of 4.6, updates to our developer tools, and new channels in Azure Bot Service.
With the Bot Framework release in July, we are happy to share new releases of Bot Framework SDK 4.5 and preview of 4.6, updates to our developer tools, and new channels in Azure Bot Service.
Microsoft Azure Media Services Video Indexer (VI) enables the customization of language models by allowing customers to upload examples of sentences or words belonging to the vocabulary of their specific use case.
With over 360,000 registered Azure Bot Service developers, we’ve seen significant growth in bots and virtual assistants built on Azure. A major trend we’re following is the growing need for these assistants to support voice-first conversational experiences.
Today we are announcing the open sourcing of our recipe to pre-train BERT (Bidirectional Encoder Representations from Transformers) built by the Bing team, including code that works on Azure Machine Learning, so that customers can unlock the power of training custom versions of BERT-large models
Every day, healthcare organizations are beginning their digital transformation journey with the Microsoft Healthcare Bot Service built on Azure. The Healthcare Bot service empowers healthcare organizations to build and deploy an Artificial Intelligence (AI) powered, compliant, conversational healthcare experience at scale.
En un mundo en el que el volumen, la diversidad y el tipo de datos tienen un crecimiento exponencial, las organizaciones necesitan colaborar con datos de todos los tamaños y formas.
Through integration with Cognitive Services APIs, Azure Search has long had the ability to extract text and structure from images and unstructured content.
Uno de los integrantes más recientes de la cartera de Azure AI, Form Recognizer, aplica aprendizaje automático avanzado para extraer con precisión texto, pares clave-valor y tablas de los documentos.
This year at Microsoft Build 2019, we announced a slew of new releases as part of Azure Machine Learning service which focused on MLOps. These capabilities help you automate and manage the end-to-end machine learning lifecycle.
Data is rarely simple. Not every piece of data we have can fit nicely into a single Excel worksheet of rows and columns.