Cognitive Services

New ways to train custom language models – effortlessly!

2019년 7월 18일 목요일

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. Since speech recognition can sometimes be tricky, VI enables you to train and adapt the models for your specific domain.

Software Engineer, Azure Storage Media R&D

Conversational AI updates for July 2019

2019년 7월 18일 목요일

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. We’ll use the opportunity to provide additional updates for the Conversational AI releases from Microsoft.

Principal Program Manager, Azure Platform

Using Text Analytics in call centers

2019년 6월 5일 수요일

Azure Cognitive Services provides Text Analytics APIs that simplify extracting information from text data using natural language processing and machine learning. These APIs wrap pre-built language processing capabilities, for example, sentiment analysis, key phrase extraction, entity recognition, and language detection.

Principal Program Manager, Azure Cognitive Services

Accelerate bot development with Bot Framework SDK and other updates

2019년 5월 16일 목요일

Conversational experiences have become the norm, whether you’re looking to track a package or to find out a store’s hours of operation. At Microsoft Build 2019, we highlighted a few customers who are building such conversational experiences using the Microsoft Bot Framework and Azure Bot Service to transform their customer experience.

Principal Program Manager, Azure Platform

AI-first content understanding, now across more types of content for even more use cases

2019년 5월 3일 금요일

Today, data isn’t the barrier to innovation, usable data is. Real-world information is messy and carries valuable knowledge in ways that are not readily usable and require extensive time, resources, and data science expertise to process. With Knowledge Mining, it’s our mission to close the gap between data and knowledge.