Can Automation put a Human into the Robot ???

“Automation is good, so long as you know exactly where to put the machine.” - Eliyahu Goldratt

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Intelligent Automation Trends

Customer Support Chatbot

Chatbots have been the catalyst in transforming customer interaction for years. Since 2022, chatbots?have taken the center stage for customer support as more and more businesses are adopting them to boost customer engagement. Chatbots are tirelessly available 24/7, and can seamlessly interact with every customer, with zero waiting time.

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Automated Process Discovery

The automated process discovery technologies have started to make waves by helping customers understand processes in a whole new light. They are not completely focused on automation, but they?do provide process-related insights that cannot be gained by any other means. Process mining, task mining, conversation mining are all tools that can improve process discovery and drive improvement initiatives.

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Intelligent Automation with Robotic Process Automation (RPA)

Customers on the RPA journey would find one piece missing in their automation journey - Robotic Process Automation (RPA). This is needed for deciding on any action that needs to be completed by a human and automate them. It involves observing, listening, comprehending, understanding, responding, and making decisions.

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Intelligent automation adds many complementary technologies to RPA. These capabilities include the kinds of work humans do now: looking at an invoice, reading an email, deciding for an approval of a loan application, responding to a customer and much more.This is also why why the most important tasks cannot be automated with RPA alone.

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Process Intelligence to Monitor Process Health

Process intelligence is the new normal.?Enterprises can monitor their processes, especially the manual processes. There are instances where organizations are not getting the expected returns from automation. This is generally because the processes aren’t monitored over a long enough period and not well understood before automation or restructuring.

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This is where process intelligence comes in. It adds data and intelligence layers to automation to improve the ongoing processes. The workplaces today have become hybrid with the mix of on-site and remote workers. Monitoring processes and staff becomes even more important now. Process intelligence takes the guesswork out of staffing needs, budgeting, SLA projections, and much more, even when processes are still being completed by people. Intelligent automation penetrates only so far, especially given the way current processes are designed. Unless we transform each process in business to be suitable for automation, process intelligence will become a necessity.

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Accessibility Testing

With more customers going digital, there’s a need to create software that is accessible to all our customers. The need for accessibility testing will be even more significant in the coming years.

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More Automation

The most important prediction for software testing trends is the need for more automation. The world of technology is moving at a rapid pace, and it’s difficult to know which emerging technologies to pin hopes on. However, automation capabilities help in building a proper foundation to make sure that processes help rather than hinder the future of businesses. These technologies are already becoming a reality in some leading organizations and will become the norm by 2025. Getting on board early will accelerate your existing automation efforts and pave the way for a future autonomous enterprise.

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Hyperautomation

Hyperautomation is a disciplined, business-driven approach to rapidly identify, vet and automate as many business and IT processes as possible. Hyperautomation enables scalability, remote operation and business model disruption.

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AI Engineering

AI engineering automates updates to data, models and applications to streamline AI delivery. Combined with strong AI governance, AI engineering will operationalize the delivery of AI to ensure its ongoing business value. Distributed enterprises better serve the needs of remote employees and consumers, who are fueling demand for virtual services and hybrid workplaces.

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Distributed Enterprises

Distributed enterprises reflect a digital-first, remote-first business model to improve employee experiences, digitalize consumer and partner touchpoints, and build out product experiences.

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Total Experience

Total experience is a business strategy that integrates employee experience, customer experience, user experience and multiexperience across multiple touchpoints to accelerate growth. Total experience can drive greater customer and employee confidence, satisfaction, loyalty and advocacy through holistic management of stakeholder experiences.

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Autonomic Systems

Autonomic systems are self-managed physical or software systems that learn from their environments and dynamically modify their own algorithms in real time to optimize their behavior in complex ecosystems. Autonomic systems create an agile set of technology capabilities that are able to support new requirements and situations, optimize performance and defend against attacks without human intervention.

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Generative AI

Generative AI learns about artifacts from data, and generates innovative new creations that are similar to the original but doesn’t repeat it. Generative AI has the potential to create new forms of creative content, such as video, and accelerate R&D cycles in fields ranging from medicine to product creation.

Feel free to contact us at [email protected] or https://www.cmsitservices.com/contact-sales/. Our team of experts is eager to collaborate with you to develop IT Process Automation that align with your business needs.

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