As more organizations widely adopt AIto acceleratetheir digital transformation,customers haveincreasinglytold usabout theneedforservicesthat enablefasterapplicationofAI to common scenarios, without requiring any machine learning expertise.Anexampleof such a serviceisAzureForm Recognizer, whichautomatesprocessing paperworkby bringingtogethervision and languageAIcapabilities with business logictoisolateand extract keyinformation.Similarly,Azure Metrics Advisorhelps organizationsquicklydetect and diagnose issues, as well astriggeralertnotifications.Customers likeSamsungandChevronare already using these services in their mission critical workloads.
Today we are bringingsuchservices together into a new product category,Azure Applied AI Services.Applied AI Services solvethe most commonchallengeswe’re seeing businessesfacetoday, such as processing documents, scaling customer service, searching proprietary archives for pertinent information, analyzing content of all types, and creating accessible experiences.Without having AI expertise,development teams canbuildAIsolutionsthat meet these needsfaster than ever beforewith Applied AI Services.The category includes Azure Form Recognizer,Azure Metrics Advisor,Azure Cognitive Search,Azure Bot Service, and Azure Immersive Reader. We are also introducing Azure Video Analyzer, whichbrings Live Video Analytics and Video Indexercloser together.
HowdoAzureApplied AI Servicesmake faster development possible?
Applied AI Servicesbuildon topof Cognitive Serviceswith additional task-specific AImodelsandbusiness logicto solve common problems organizations encounter,regardless of industry.Digitalasset management, information extraction from documents and need to analyze and react to real time dataarecommon to mostorganizations.In addition,Applied AI Services accelerate development time by providing reliable services that are compliant withourResponsible AI Principles.You can have control of your own data and minimize the latency for mission-critical use cases by running Applied AI Services in containers on your Edge devices.
Let’s dive into an example ofa common scenariofor AI.Business of all kinds frommom-and-pop shopstomass manufacturing companieshave toprocessvariousdocuments.Azure Form Recognizertargets this scenariobyextractinginformation from forms and images into structured datato automate data entry.Form Recognizer builds on top of Cognitive Services’ Optical Character Recognition (OCR)capabilityto recognize text, Text Analytics and Custom Text to relate key value pairs, like a name field description to the value of the name on an ID.Form Recognizerincludesadditionaltask specific modelsto identify information likeWorldwide Passports and U.S Driver's Licensesreliably andisin compliance withMicrosoft's Responsible AI Principles.
Azure Form Recognizer Business Logic & AI Models
While the service is highly specialized, various stakeholders ranging from developers new to AI to data scientists can use Azure Form Recognizer. A developer can build complex document processing functionality with the minimum effort usingSDKsandREST APIs. A domain expert can then use the very same service to furthertrain a custom modelfor industry-specific forms with complex structures. A Machine Learning expert can bring their owncustom Machine Learning models, optimized for their use case to extend Form Recognizer. The same development options are available across Applied AI Services.
What are the latest updates for Applied AI Services?
Today we are introducingAzure Video Analyzer, bringing Live Video Analyzer andVideo Indexercloser together.Azure Video Analyzer (formerly Live Video Analytics, in preview) delivers the developer platform for video analytics, and Azure Video Analyzer for Media (formerly Video Indexer, generally available) delivers AI solutions targeted at Media & Entertainment scenarios. With Azure Video Analyzer, you can process livevideo at the edge for high latency, record videoin the cloudor record relevant video clipson the edgefor limited bandwidth deployments. You can analyze video with AI of your choice by leveraging services such as Cognitive ServicesCustomVisionandSpatialAnalysis,open sourcemodels, partner offers such as Intel OpenVINO and modelsor just your own custom-built models.With Azure Video Analyzer for Media, your video and audiofiles are easily processed through a rich set of out-of-the-box machine learning models all pre-integrated together, in different channels of the content; with Vision to detect people and scenes, Language to get insights and segment timestamps, Speech to provide close captioning so you can quickly extract insights from your libraries.
Azure Video AI Solutions
Organizations across the globe are already using Azure Video Analyzer to optimize various processes such as Lufthansa to improve flight turnaround times and Dow to enhance workplace safety with leak detection. Media and Entertainment organizations such as MediaValet use Azure Video Analyzer to extract more value out of their content by finding what they need quickly, scaling across millions of assets.
Azure Metrics Advisor, generally available today, builds on top of Anomaly Detector and makes integration of data, root cause diagnosis, and customizing alerts fast and easy through a readymade visualization and customization UI. Samsung uses Azure Metrics Advisor. In the past, Samsung had relied on a rule-based system in monitoring the health of their Smart TV service. But rules can't cover all the scenarios and theprevious approach generated lots of noise. Using Azure Metrics Advisor, Samsung createda new monitoring solution in China to enhance their previous system and toprovideautomated, granular root cause analysis that helps engineers locate issues and shorten the time to resolution.
With the latest enhancement to Azure Bot Services, it is easier to build, test, and publish text, speech, or telephony-based bots through an integrated development experience. Varun Nagalia, Director of Unilever HR Systems and Employee Experience Apps: “Una was built on the Microsoft Bot framework foundation. We used the Virtual Assistant templates to streamline the bot’s business logic and handling of user intent in an efficient way. We were able to leverage these templates, adapting them to our business needs and turn around nearly 40 global features in less than 12 months.”
Azure Bot Service
Solving automation, accessibility and scalability problems with Applied AI Services is faster than ever. When a task is not solved with Applied AI Services, Cognitive Services are all purpose APIs that are available to developers to build their solutions. Check out Azure AI Build Session to learn more and see the demos in action.
Read these blog posts for a deeper dive into the latest from these Azure Applied AI Services: