{"id":5828,"date":"2020-03-12T16:51:31","date_gmt":"2020-03-12T15:51:31","guid":{"rendered":"https:\/\/onlu.ch\/ready-to-use-ai-on-microsoft-azure\/"},"modified":"2025-07-18T12:02:14","modified_gmt":"2025-07-18T10:02:14","slug":"ready-to-use-ai-on-microsoft-azure","status":"publish","type":"post","link":"https:\/\/onlu.ch\/en\/ready-to-use-ai-on-microsoft-azure\/","title":{"rendered":"Ready to use AI on Microsoft Azure"},"content":{"rendered":"\t\t
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3 use cases compiled for your Azure environment. These do not currently relate to a specific industry, but will give you an insight into the technical possibilities. <\/span><\/p>\n

You may be able to fill in the gaps, which could be interesting for you. However, we have written down some ideas below as an incentive. <\/span><\/p>\n

<\/span><\/p>\n

    \n
  1. Business Intelligence <\/b>with AI<\/span><\/b>
    The goal of business intelligence is to provide organizations with insights into current and historical data thatenable<\/span> them to make better strategic decisions and gain a competitive advantage.
    \"\"
    The data flow is from left (source system) to right (end user)<\/span><\/li>\n<\/ol>\n

    – <\/span><\/span>The source systems<\/b> (ERP, CRM, Excel, etc.) can contain large amounts of data in any format. The system <\/span>can be <\/span>be a cloud solution or <\/span>is <\/span>hosted on private servers<\/span>.<\/span><\/p>\n

    – <\/span><\/span>Azure Data Factory<\/span><\/b> collects data from <\/span>the <\/span>various source systems <\/span>via<\/span> automated pipelines.<\/span><\/p>\n

    – <\/span><\/span>Collected data is transferred to a<\/span>r clipboard <\/span>in the Azure Data Lake<\/b>, where it can be used for <\/span>reporting<\/span> and data analytics.<\/span><\/p>\n

    – <\/span><\/span>Predefined calculations can optionally be <\/span>an <\/span>Azure Data Warehouse<\/span><\/b> to provide reliable key figures.<\/span><\/p>\n

    – <\/span><\/span>Data from the data warehouse or data lake can be used in Power BI<\/b> to create meaningful visualizations. Power BI offers AI<\/b> to quickly gain insights and visualize data.<\/span><\/p>\n

    – <\/span><\/span>Azure Synapse Analytics<\/span><\/b> accesses the data warehouse or data lake to create more complex models such as predictions.<\/span><\/p>\n

    <\/span><\/p>\n

      \n
    1. Virtual Agents <\/b>(AI Chatbots)<\/span><\/b>
      <\/b>Virtual Agents<\/span> are intelligent<\/span> chatbots with AI capabilities<\/span>. Microsoft Power Virtual Agents offers a low-code solution for creating intelligent bots. \n

      \"\"<\/p>\n

      Virtual Agents<\/span>can be integrated into Microsoft Teams, Power Platform or any <\/span>website. The Azure OpenAI Service<\/b> can also <\/span>be linked to Virtual Agents and supports more advanced AI use cases<\/span>with GPT-4 and DALL-E. <\/p>\n<\/li>\n<\/ol>\n

      <\/span><\/p>\n

        \n
      1. Power Platform – AI Builder<\/b>
        Power Platform AI Builder enables the use of AI models<\/span>that have been trained with personal data such as documents, text, structured data or images. AI Builder can be<\/span> integrated with Power Apps, Power Automate, SharePoint and Teams.be integrated.<\/span><\/span> \n


        \"\"
        <\/span>A large number of prefabricated models are already available:<\/p>\n<\/li>\n<\/ol>\n

        – <\/span><\/span>Invoice processing<\/span><\/p>\n

        – <\/span><\/span>Text recognition<\/span><\/p>\n

        – <\/span><\/span>Sentiment analysis<\/span><\/p>\n

        – <\/span><\/span>Receipt processing<\/span><\/p>\n

        – <\/span><\/span>Entity extraction<\/span><\/p>\n

        – <\/span><\/span>ID reader<\/span><\/p>\n

        – <\/span><\/span>Key phrase extraction<\/span><\/p>\n

        – <\/span><\/span>Business card reader<\/span><\/p>\n

        – <\/span><\/span>Category classification<\/span><\/p>\n

        – <\/span><\/span>Text generation<\/span><\/p>\n

        – <\/span><\/span>Speech recognition<\/span><\/p>\n

        – <\/span><\/span>Text translation<\/span><\/p>\n

        – <\/span><\/span>Image description<\/span><\/p>\n

        If no model fulfills the<\/span> use cases, you can<\/span> create your own AI model<\/span>. However, this requires large amounts of data.<\/span><\/p>\n

        Additionally 14 use cases:<\/p>\n

          \n
        • Credit risk assessment:<\/b> Use of machine learning algorithms to assess the creditworthiness of customers and automate credit decisions.<\/li>\n
        • Fraud detection: <\/b>AI analyzes transaction data to identify suspicious activity and detect fraud in real time<\/li>\n
        • Customer support and chatbots:<\/strong> Implementation of chatbots and virtual assistants to provide round-the-clock customer support and answer frequently asked questions.<\/li>\n
        • Personalization of offers:<\/strong> By analyzing customer behavior and preferences, banks can create tailored product offers to increase customer loyalty.<\/li>\n
        • Asset management:<\/strong> AI supports the optimization of portfolios, risk assessment and the provision of investment recommendations for clients.<\/li>\n
        • Automated compliance:<\/strong> In the financial sector, compliance with regulations is crucial. AI helps to monitor and ensure compliance with regulations. <\/li>\n
        • Credit card fraud prevention:<\/strong> AI detects suspicious activity on credit card accounts in real time and blocks transactions to protect customers from fraud.<\/li>\n
        • Customer analysis:<\/strong> By analyzing customer behavior and data, banks gain insights that help in the development of marketing strategies and customer loyalty campaigns.<\/li>\n
        • Payment processing:<\/strong> Improving the efficiency and security of payment processing through intelligent automated processes and blockchain technology.<\/li>\n
        • Forecasting and risk management:<\/strong> AI supports the prediction of market developments and risks in order to make well-founded business decisions.<\/li>\n
        • Customer identification and authentication:<\/strong> Use of biometric authentication such as facial recognition or fingerprint recognition for secure access and transaction verification.<\/li>\n
        • Voice and text processing:<\/strong> Analyze customer feedback, emails and social media interactions to gain insights into customer satisfaction and respond to customer inquiries.<\/li>\n
        • Resource optimization:<\/strong> AI is used to manage resources such as store operations and staff more efficiently.<\/li>\n
        • Credit scoring:<\/strong> Use of AI models to calculate credit scores based on customer and transaction data.<\/li>\n<\/ul>\n

          <\/span><\/p>\n

          <\/span><\/p>\n

          <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

          zure Use-Cases: Business Intelligence, AI Chatbots, Power Platform AI Builder. Plus, 14 financial services applications like risk assessment, fraud detection, and customer support. <\/p>\n","protected":false},"author":3,"featured_media":5103,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[78],"tags":[],"class_list":["post-5828","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-en"],"yoast_head":"\nReady to use AI on Microsoft Azure - ONLU AG<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/onlu.ch\/en\/ready-to-use-ai-on-microsoft-azure\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ready to use AI on Microsoft Azure - ONLU AG\" \/>\n<meta property=\"og:description\" content=\"zure Use-Cases: Business Intelligence, AI Chatbots, Power Platform AI Builder. 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