22:20 A deep dive cognitive learning strategies examples into what’s new with azure cognitive services | |
Microsoft build 2019 marks an important milestone for the evolution of azure cognitive services with the introduction of new services and capabilities for developers.Cognitive learning strategies examples azure empowers developers to make reinforcement learning real for businesses with the launch of personalizer. Personalizer, along with anomaly detector and content moderator, is part of the new decision category of cognitive services that provide recommendations to enable informed and efficient decision-making for users.Cognitive learning strategies examples Cognitive services span the categories of vision, speech, language, search, and decision, offering the most comprehensive portfolio in the market for developers who want to embed the ability to see, hear, translate, decide and more into their apps.Cognitive learning strategies examples with so much in store, let’s get to it. Decision: introducing personalizer, reinforcement learning for the enterprise Retail, media, E-commerce and many other industries have long pursued the holy grail of personalizing the experience.Cognitive learning strategies examples unfortunately giving customers more of what they want often requires stringing together various CRM, DMP, name-your-acronym platforms and running A/B tests day and night.Cognitive learning strategies examples reinforcement learning is the set of techniques that allow AI to achieve a goal by learning from what’s happening in the world in real-time.Cognitive learning strategies examples only azure delivers this powerful reinforcement-learning based capability through a simple-to-use API with personalizer. Conversation transcription, an advanced speech-to-text feature, improves meeting efficiency by transcribing conversations in real-time, enabling all participants to engage fully, capturing who said what when so you can quickly follow up on next steps.Cognitive learning strategies examples pair conversation transcription with a device integrating the speech service device SDK, now generally available, for higher-quality transcriptions.Cognitive learning strategies examples it also integrates with a variety of meeting conference solutions including microsoft teams and other third-party meeting software. Visit the speech page to see more details.Cognitive learning strategies examples With cognitive services in containers, isvs and enterprises can transform their businesses with edge computing scenarios. Axon, a global leader in connected public safety technologies partnering with more than 17,000 law enforcement agencies in 100+ countries around the world, relies on cognitive services in containers for public safety scenarios where the difference of a second in response time matters: cognitive learning strategies examples Neural text-to-speech now supports 5 voices and is available in 9 regions to provide customers greater language coverage and support. By changing the styles using speech synthesis markup language or the voice tuning portal, you can easily refine the voice to express different emotions or speak with different tones for various scenarios.Cognitive learning strategies examples visit the text-to-speech page to “hear” more on the new voices available. In addition, computer vision has an improved image tagging model that now understands 10K+ concepts, scenes, and objects and has also expanded the set of recognized celebrities from 200K to 1M.Cognitive learning strategies examples video indexer has several enhancements including new AI editor won a NAB show product of the year award in the AI/ML category at this year’s event.Cognitive learning strategies examples Named entity recognition, a capability of text analytics, takes free-form text and identifies the occurrences of entities such as people, locations, organizations, and more.Cognitive learning strategies examples through a API call, named entity recognition uses robust machine learning models to find and categorize more than twenty types of named entities in any text documents.Cognitive learning strategies examples named entity recognition supports 19 language models available in preview, with english and spanish now generally available. | |
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