{"id":3052,"date":"2025-03-17T14:03:02","date_gmt":"2025-03-17T14:03:02","guid":{"rendered":"https:\/\/orbitdevelopers.in\/?p=3052"},"modified":"2025-07-26T07:28:42","modified_gmt":"2025-07-26T07:28:42","slug":"transform-businesses-with-e42-cognitive-process","status":"publish","type":"post","link":"https:\/\/orbitdevelopers.in\/index.php\/2025\/03\/17\/transform-businesses-with-e42-cognitive-process\/","title":{"rendered":"Transform Businesses with E42 Cognitive Process Automation Platform"},"content":{"rendered":"<p><h1>What is Intelligent Automation?<\/h1>\n<\/p>\n<p><img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' src=\"data:image\/jpeg;base64,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\" width=\"307px\" alt=\"cognitive process automation tools\"\/><\/p>\n<p><p>Certain tasks are currently best suited for humans, such as those that require reading or understanding text, making complex decisions, or aspects of recognition or pattern matching. In addition, interactive tasks that require collaboration with other humans and rely on communication skills and empathy are difficult to automate with unintelligent tools. Still, the enterprise requires humans to choose and apply automation techniques to specific tasks &#8212; for now. One area currently under development is the ability for machines to autonomously discover and optimize processes within the enterprise. Some automation tools have started to combine automation and cognitive technologies to figure out how processes are configured or actually operating. And they are automatically able to suggest and modify processes to improve overall flow, learn from itself to figure out better ways to handle process flow and conduct automatic orchestration of multiple bots to optimize processes.<\/p>\n<\/p>\n<div style='border: grey dashed 1px;padding: 11px;'>\n<h3>Bautomate Business Process Automation Software Wins CII Connect 2023 Award &#8211; ANI News<\/h3>\n<p>Bautomate Business Process Automation Software Wins CII Connect 2023 Award.<\/p>\n<p>Posted: Thu, 23 Nov 2023 08:00:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMihgFodHRwczovL3d3dy5hbmluZXdzLmluL25ld3MvYnVzaW5lc3MvYnVzaW5lc3MvYmF1dG9tYXRlLWJ1c2luZXNzLXByb2Nlc3MtYXV0b21hdGlvbi1zb2Z0d2FyZS13aW5zLWNpaS1jb25uZWN0LTIwMjMtYXdhcmQyMDIzMTEyMzE3MzIwOdIBAA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p><p>Given its potential, companies are starting to embrace this new technology in their processes. According to a 2019 global business survey by Statista, around 39 percent of respondents confirmed that they have already integrated cognitive automation at a functional level in their businesses. Also, 32 percent of respondents said they will be implementing it in some form by the end of 2020. This includes applications that automate processes that automatically learn, discover, and make recommendations or predictions. Overall, cognitive software platforms will see investments of  nearly $2.5 billion this year. Spending on cognitive-related IT and business services will be more than $3.5 billion and will enjoy a five-year CAGR of nearly 70%.<\/p>\n<\/p>\n<p><h2>Top 25 Use Cases \/ Examples of Intelligent Automation in 2024<\/h2>\n<\/p>\n<p><p>Facilitated by AI technology, the phenomenon of cognitive automation extends the scope of&nbsp;deterministic business process automation (BPA) through the probabilistic automation of knowledge and service work. By transforming work systems through cognitive automation, organizations are provided with vast strategic opportunities to gain business value. However, research lacks a unified conceptual lens on cognitive automation, which hinders scientific progress.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"data:image\/jpeg;base64,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\" width=\"300px\" alt=\"cognitive process automation tools\"\/><\/p>\n<p><p>Automated processes can only function effectively as long as the decisions follow an \u201cif\/then\u201d logic without needing any human judgment in between. However, this rigidity leads RPAs to fail to retrieve meaning <a href=\"https:\/\/www.metadialog.com\/blog\/cognitive-automation-definition\/\">cognitive process automation tools<\/a> and process forward unstructured data. 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.<\/p>\n<\/p>\n<p><h2>What are the determining factors when considering Cognitive Robotic Process Automation?<\/h2>\n<\/p>\n<p><p>Therefore, companies rely on AI focused companies like IBM and niche tech consultancy firms to build more sophisticated automation services. You can check our article where we discuss the differences between RPA and intelligent \/ cognitive automation. The emerging trend we are highlighting here is the growing use of cognitive technologies in conjunction with RPA. But before describing that trend, let\u2019s take a closer look at these software robots, or bots. The integration of these three components creates a transformative solution that streamlines processes and simplifies workflows to ultimately improve the customer experience.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"data:image\/jpeg;base64,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\" width=\"301px\" alt=\"cognitive process automation tools\"\/><\/p>\n<p><p>Down the road, these kinds of improvements could lead to autonomous operations that combine process intelligence and tribal knowledge with AI to improve over time, said Nagarajan Chakravarthy, chief digital officer at IOpex, a business solutions provider. He suggested CIOs start to think about how to break up their service delivery experience into the appropriate pieces to automate using existing technology. The automation footprint could scale up with improvements in cognitive automation components. However, there are times when information is incomplete, requires additional enhancement or combines with multiple sources to complete a particular task.<\/p>\n<\/p>\n<p><h2>Banking \u2013 Processing trade finance transactions<\/h2>\n<\/p>\n<p><p>RPA imitates manual effort through keystrokes, such as data entry, based on the rules it\u2019s assigned. But combined with cognitive automation, RPA has the potential to automate entire end-to-end processes and aid in decision-making from both structured and unstructured data. Cognitive Automation is the conversion of manual business processes to automated processes by identifying network performance issues  and their impact on a business, answering with cognitive input and finding optimal solutions. Addressing the challenges most often faced by network operators empowers predictive operations over reactive solutions. Over time, these pre-trained systems can form their own connections automatically to continuously learn and adapt to incoming data. For enterprises to achieve increasing levels of operational efficiency at higher levels of scale, organizations have to rely on automation.<\/p>\n<\/p>\n<div style='border: black dotted 1px;padding: 11px;'>\n<h3>Intelligent process automation: The engine at the core of the next-generation operating model &#8211; McKinsey<\/h3>\n<p>Intelligent process automation: The engine at the core of the next-generation operating model.<\/p>\n<p>Posted: Tue, 14 Mar 2017 07:00:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMioAFodHRwczovL3d3dy5tY2tpbnNleS5jb20vY2FwYWJpbGl0aWVzL21ja2luc2V5LWRpZ2l0YWwvb3VyLWluc2lnaHRzL2ludGVsbGlnZW50LXByb2Nlc3MtYXV0b21hdGlvbi10aGUtZW5naW5lLWF0LXRoZS1jb3JlLW9mLXRoZS1uZXh0LWdlbmVyYXRpb24tb3BlcmF0aW5nLW1vZGVs0gEA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>What is Intelligent Automation? Certain tasks are currently best suited for humans, such as those that require reading or understanding text, making complex decisions, or aspects of recognition or pattern matching. In addition, interactive tasks that require collaboration with other humans and rely on communication skills and empathy are difficult to automate with unintelligent tools. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[],"class_list":["post-3052","post","type-post","status-publish","format-standard","hentry","category-ai-news"],"_links":{"self":[{"href":"https:\/\/orbitdevelopers.in\/index.php\/wp-json\/wp\/v2\/posts\/3052","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/orbitdevelopers.in\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/orbitdevelopers.in\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/orbitdevelopers.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/orbitdevelopers.in\/index.php\/wp-json\/wp\/v2\/comments?post=3052"}],"version-history":[{"count":1,"href":"https:\/\/orbitdevelopers.in\/index.php\/wp-json\/wp\/v2\/posts\/3052\/revisions"}],"predecessor-version":[{"id":3053,"href":"https:\/\/orbitdevelopers.in\/index.php\/wp-json\/wp\/v2\/posts\/3052\/revisions\/3053"}],"wp:attachment":[{"href":"https:\/\/orbitdevelopers.in\/index.php\/wp-json\/wp\/v2\/media?parent=3052"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/orbitdevelopers.in\/index.php\/wp-json\/wp\/v2\/categories?post=3052"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/orbitdevelopers.in\/index.php\/wp-json\/wp\/v2\/tags?post=3052"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}