![]() Easy: The APIs are easy to implement because of the simple REST calls. Why choose these APIs ? They work, and it’s easy.They can also be used in conjunction with the Microsoft Bot Framework. Users can do a simple search, and this API scours the web for thumbnails, full image URLs, publishing website info, image metadata, and more before returning results.Transition: These APIs are available as stand-alone solutions, or as part of the Cortana Intelligence Suite. Our Knowledge Exploration API example here demonstrates the usefulness of this API for answering questions posed in natural language in an interactive experience.SearchBing Image Search API enables you to add a variety of image search options to your app or website, from trending images to detailed insights. The example we see here demonstrates Language Understanding’s ability to understand what a person wants, and to find the pieces of information that are relevant to the user’s intent.KnowledgeKnowledge Exploration Service adds interactive search over structured data to reduce user effort and increase efficiency. This case shows us that the user has asked for directions verbally, the intent has been extracted, and a map with directions provided.Language:Language Understanding Intelligent Service, known as LUIS, can be trained to understand user language contextually, so your app communicates with people in the way they speak. Here, the API is able to tell us what the photo contains, indicate the most common colors, and lets us know that the content would not be considered inappropriate for users.SpeechThe Bing Speech API is capable of converting audio to text, understanding intent, and converting text back to speech for natural responsiveness. Combining many of these services together can either improve user interaction models, or provide fun and engaging user experiences.Our examples here shine some light on how some of these APIs work in real-world situations:VisionThe Computer Vision API is able to extract rich information from images to categorize and process visual data and protect your users from unwanted content. Cognitive services span Vision, Speech, Language, Knowledge, and Search.Huge revenue at stakeBut your customers will care and are looking for what scenarios is AI going to enable for them – especially if they are in exploratory phase Not just the direct revenue but about the opportunity of revenue and money changing hands because of AI as an additional differentiation on top of exiting business. ![]() 1.2T business that AI is going to enable in the next 3 years. Just as software became the key competitive driver for companies across industries, the use of AI to go faster and do more will be critical to enterprises.Opportunity – 1.2T market opportunity that AI is enabling. Every business process in every industry will be transformed by AI. And today’s explosion of big data and the data being collected every day is helping to advance AI deep learning.85% of enterprises will be using AI by 2020. Huge amounts of data are what train the AI models and algorithms. Third, is the huge amount of data in existence which is continuously increasing every day. All the AI advancements and algorithms require a lot of compute power and thanks to the cloud we now have the ability to dramatically improve the capabilities of AI. Second, is the compute power available today. But why is the interest in and the possibilities of AI accelerating today? First, we’ve made significant AI advancements especially in deep learning and the power of neural nets that are powering these deep learning systems that are changing the rules for AI. Why now? AI research and understanding has been here for many decades and we as humans have been pursuing this for awhile. Allows machines to communicate with humans in a much more natural way. Interacting - extends human ingenuity and lowers barriers between humans and machines. Identifying meaning of text, speech and images for instance. Understanding – AI enables us to understand and interpret the data of our environment and our world. And it continues to learn over time as we keep feeding it more data. What is AI Reasoning - taking a lot of data and adding logic on top of that so you can understand and make decisions based on that data.And then share that code around the world.
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