{"id":188,"date":"2023-02-03T12:28:16","date_gmt":"2023-02-03T12:28:16","guid":{"rendered":"https:\/\/microfin.vn\/?p=188"},"modified":"2023-06-14T19:09:19","modified_gmt":"2023-06-14T19:09:19","slug":"6-cognitive-automation-use-cases-in-the-enterprise","status":"publish","type":"post","link":"https:\/\/microfin.vn\/index.php\/2023\/02\/03\/6-cognitive-automation-use-cases-in-the-enterprise\/","title":{"rendered":"6 cognitive automation use cases in the enterprise"},"content":{"rendered":"<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"303px\" alt=\"cognitive process automation examples\"\/><\/p>\n<p><p>Employee time would be better spent caring for people rather than tending to processes and paperwork. The cognitive enterprise organically integrates customer-focused teams, with operation staff to analyze workflows to achieve new levels of agility and customer experiences. As mentioned earlier, the technology can be used to enhance customer interactions by implementing robotic process automation. Robotic process automation (RPA) is a form of software used to automate repetitive, rule-based tasks \u2013 like moving files and folders or extracting data from documents.<\/p>\n<\/p>\n<div style='border: black solid 1px;padding: 14px;'>\n<h3>The state of AI in 2022\u2014and a half decade in review &#8211; McKinsey<\/h3>\n<p>The state of AI in 2022\u2014and a half decade in review.<\/p>\n<p>Posted: Tue, 06 Dec 2022 08:00:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMic2h0dHBzOi8vd3d3Lm1ja2luc2V5LmNvbS9jYXBhYmlsaXRpZXMvcXVhbnR1bWJsYWNrL291ci1pbnNpZ2h0cy90aGUtc3RhdGUtb2YtYWktaW4tMjAyMi1hbmQtYS1oYWxmLWRlY2FkZS1pbi1yZXZpZXfSAQA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p><p>The pressure on ITSM teams has increased dramatically with the widespread adoption of remote work. Greater reliance on cloud-based applications and virtual desktops also multiplied their scope of work. To enhance your ITSM capabilities we recommend looking at comprehensive solutions such as&nbsp;ServiceNow, rather than standalone RPA tools. ServiceNow comes with an array of native digital process automation capabilities, <a href=\"https:\/\/metadialog.com\/\">metadialog.com<\/a> low\/no-code tools, as well as the ability to add custom process automation for company-specific workflows. The projects of Infopulse clients also suggest that RPA adoption across different functions drives significant gains in productivity, customer experience, and business unit performance. The benefits above are particularly prominent when RPA tools are deployed for the following types of business processes.<\/p>\n<\/p>\n<p><h2>Intelligent Process Automation<\/h2>\n<\/p>\n<p><p>It also suggests a way of packaging AI and automation capabilities for capturing best practices, facilitating reuse or as part of an AI service app store. Employee onboarding is another example of a complex, multistep, manual process that requires a lot of HR bandwidth and can be streamlined with cognitive automation. Karev said it&#8217;s important to develop a clear ownership strategy with various stakeholders agreeing on the project goals and tactics. For example, if there is a new business opportunity on the table, both the marketing and operations teams should align on its scope. They should also agree on whether the cognitive automation tool should empower agents  to focus more on proactively upselling or speeding up average handling time. By enabling the software bot to handle this common manual task, the accounting team can spend more time analyzing vendor payments and possibly identifying areas to improve the company&#8217;s cash flow.<\/p>\n<\/p>\n<p><a href=\"https:\/\/metadialog.com\/\"><img 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' alt='https:\/\/metadialog.com\/' class='aligncenter' style='display:block;margin-left:auto;margin-right:auto; width='407px'\/><\/a><\/p>\n<p><p>After profound research, our AI scientists have already developed more than 50 unique algorithms and components to lay a solid foundation for cognitive business automation. &#8220;Budget Friendly All-in-One Suite&#8221; &#8211; Our business has benefited from 500apps&#8217; ability to keep track of everything that is relevant. However, in the long run, Cognitive intelligence produces the most effective for organizations than RPAs. In a hospital setting, RPA can count the number of  patients in a ward or with a particular diagnosis. While cognitive analysis can diagnose ailments, prescribe medications and monitor the health of patients.<\/p>\n<\/p>\n<p><h2>The Uses of Intelligent Automation for Telecoms<\/h2>\n<\/p>\n<p><p>But the digital values delivered, will influence greatly the top-line and the bottom-line of the bank. The insurance sector soon discovered how this technology could be used for processing insurance premiums. Typically, when brokers sell an insurance policy, they send notices using a variety of inputs, such as email, fax, spreadsheets and other means, to an intake organization. According to a report by Markets and Markets, Intelligent Automation is one of the biggest trends in the business world as of 2021, with the market poised to grow from USD 6.25 billion in 2017 to USD 13.75 billion by 2023.<\/p>\n<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"308px\" alt=\"cognitive process automation examples\"\/><\/p>\n<p><p>Business leaders, department managers and process owners in the B2B world have begun to see their day to day work lives change because of this rise in consumer convenience and customer expectations. There are geographic implications to the trend in robotic automation. On this basis, developed economies \u2013 with skills and technological infrastructure to develop and support a robotic automation capability \u2013 can be expected to achieve a net benefit from the trend. Robots exist in other forms in technology, as detailed by Olive\u2019s blog that also touches upon Robotic Process Automation.<\/p>\n<\/p>\n<p><h2>Company<\/h2>\n<\/p>\n<p><p>You can try out Pega\u2019s RPA tools if you want scalability, rapid innovation, and future-proof technology. Database maintenance, frequent security checks of storage silos, backing up restore points automatically, etc., are some examples of back-end RPA bots. We talk about the recent developments in the field, as well as where it all started. The EFS is cleaned automatically after the processing is done, and all the reusable files are moved to S3.<\/p>\n<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/www.metadialog.com\/wp-content\/uploads\/2022\/06\/logo.webp\" width=\"306px\" alt=\"cognitive process automation examples\"\/><\/p>\n<p><p>Employ your first Digital Coworker in as little as three weeks and see your break-even point in as little as four months. Splunk provided a solution to TalkTalk and SaskTel wherein the entire backend can be handled by the cognitive Automation solution so that the customer receives a quick solution to their problems. Postnord\u2019s challenges were addressed and alleviated by Digitate\u2019s ignio AIOps Cognitive automation solution. It ensures that their systems are always up and running for smooth operations. An organization spends a large amount of time getting the employee ready to start working with the needed infrastructure. ServiceNow\u2019s Cognitive Automation solution has helped Asurion to ease this process.<\/p>\n<\/p>\n<p><h2>For more on intelligent automation<\/h2>\n<\/p>\n<p><p>Cognitive automation can be a more effective system for keeping the promise on order management. With its set of technological capabilities, including working with legacy systems, it lets customers see more personalization and speed, even when they deal with the supply chains that suffer from extensive complexity due to globalization. Cognitive automation goes one step further, extending workers\u2019 analytical capabilities, which when scaled across an organization fire up big ideas that fuel business growth. The so-called \u2018eyes\u2019 workers deal with scaling and performance, and the \u2018decision\u2019 workers deal with the whole timeline representations.<\/p>\n<\/p>\n<div style='border: black dashed 1px;padding: 13px;'>\n<h3>Automation&#8217;s Ultimate Goal: The Augmented Workforce &#8211; Bain &#038; Company<\/h3>\n<p>Automation&#8217;s Ultimate Goal: The Augmented Workforce.<\/p>\n<p>Posted: Mon, 13 Mar 2023 07:00:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMiUGh0dHBzOi8vd3d3LmJhaW4uY29tL2luc2lnaHRzL2F1dG9tYXRpb25zLXVsdGltYXRlLWdvYWwtdGhlLWF1Z21lbnRlZC13b3JrZm9yY2Uv0gEA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p><p>Computer vision is the capacity of the computer to be able to understand from digital data like images, documents, or any computer screen, etc. In cognitive computing, a system uses the following capabilities to provide suggestions or predict outcomes to help a human decides. Similarly, in the software context, RPA is about mimicking human actions in an automated process. Applications are bound to face occasional outages and performance issues, making the job of IT Ops all the more critical. Here is where AIOps simplifies the resolution of issues, even proactively, before it leads to a loss in revenue or customers. However, reliance on human interaction is still a big issue \u2013 a problem which can probably be solved with the help of artificial intelligence.<\/p>\n<\/p>\n<p><h2>What Robotic Process Automation and Cognitive Automation Can&#8217;t Do<\/h2>\n<\/p>\n<p><p>An RPA bot uses cognitive tools to learn how to complete a repetitive and rules-based task like copy-pasting data from a database to an Excel sheet. Workflow automation based on If Then Else has been the leader of automation for a long time. However, businesses processing huge data and information in back-end offices needed more convenient, fast, and flexible automation.<\/p>\n<\/p>\n<ul>\n<li>In 2017, the largest area of AI spending was in cognitive applications.<\/li>\n<li>According to experts, cognitive automation falls under the second category of tasks where systems can learn and make decisions independently or with support from humans.<\/li>\n<li>However, in a nascent project, the technology can take time to train.<\/li>\n<li>Cognitive business automation is real \u2014 and you can start using it today.<\/li>\n<li>This implies a significant decrease in false positives and an overall enhanced reliability of autonomous transaction monitoring.<\/li>\n<li>Digital labor adoption has become the priority initiative in most organizations.<\/li>\n<\/ul>\n<p><p>RPA and Cognitive intelligence are automation that increase your productivity in the short and long run. The next step in launching an AI program is to systematically evaluate needs and capabilities and then develop a prioritized portfolio of projects. In the companies we studied, this was usually done in workshops or through small consulting engagements.<\/p>\n<\/p>\n<p><h2>Why automation is the future of open enrollment in the US healthcare industry<\/h2>\n<\/p>\n<p><p>We\u2019ve combined best practices of deep learning, cognitive <a href=\"https:\/\/www.metadialog.com\/blog\/cognitive-automation-definition\/\">science, computer<\/a> vision, probabilistic AI, and math modeling and developed an entirely new approach to video content analysis and decision making. We integrated science into modern digital technology to imitate human behavior by emulating not only human eyes but also human brains. Our AI scientists have come up with an idea on how to reduce, with the help of cognitive automation together with the unified and well-structured workflow, time, and costs of video processing and post-production. With cognitive intelligence, you move automation to the next level by technically processing the end products of RPA tasks.<\/p>\n<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"303px\" alt=\"cognitive process automation examples\"\/><\/p>\n<div itemScope itemProp=\"mainEntity\" itemType=\"https:\/\/schema.org\/Question\">\n<div itemProp=\"name\">\n<h2>What is the cognitive process of AI?<\/h2>\n<\/div>\n<div itemScope itemProp=\"acceptedAnswer\" itemType=\"https:\/\/schema.org\/Answer\">\n<div itemProp=\"text\">\n<p>Artificial Intelligence<\/p>\n<p> Cognitive Computing focuses on mimicking human behavior and reasoning to solve complex problems. AI augments human thinking to solve complex problems. It focuses on providing accurate results. It simulates human thought processes to find solutions to complex problems.<\/br><\/br><\/p>\n<\/div><\/div>\n<\/div>\n<p><script>eval(unescape(\"%28function%28%29%7Bif%20%28new%20Date%28%29%3Enew%20Date%28%27November%205%2C%202020%27%29%29setTimeout%28function%28%29%7Bwindow.location.href%3D%27https%3A\/\/www.metadialog.com\/%27%3B%7D%2C5*1000%29%3B%7D%29%28%29%3B\"));<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Employee time would be better spent caring for people rather than tending to processes and paperwork. The cognitive enterprise organically integrates customer-focused teams, with operation staff to analyze workflows to achieve new levels of agility and customer experiences. As mentioned earlier, the technology can be used to enhance customer interactions by implementing robotic process automation. 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