Trends in Automation

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Hyperautomation is a combination of technologies like RPA, iPaaS, Artificial Intelligence, and process mining that can transform business operations. Natural Language Processing, OCR, and machine learning help in understanding and processing human language and data, while RPA and low-code platforms enable automation of various business processes. To achieve hyperautomation excellence, it is necessary to begin with task automation and gradually include all business operations. AutomationEdge is a hyperautomation platform that offers a combination of automation and AI technologies, including UI automation, IT Process Automation, and chatbots. With features like security, audit logs, and user management, AutomationEdge has achieved partnerships with global organizations. Read this presentation by Siva Juturi, Chief Customer Success & EVP at AutomationEdge to learn more.

Technology

Welcome Note
Siva Juturi
Chief Customer Success & EVP
Your photo

Humanizing Hyperautomation – Rita at Unimed
Observe
Hear & Speak
Understand
Perform
02
04
01
03
Observe (Vision of Digital Workers)
Understand (Minds of Digital Workers)
Hear & Speak (Ears & Mouth of Digital Workers)
Technologies like optical character recognition (OCR), which scans documents to
convert them into electronic files, and intelligent character recognition (ICR) that
recognizes fonts and different styles of handwriting, images, and videos, can
generate insights.
Perform (Action of Digital Workers)
With this capability, machines can read, write, speak and interpret natural human
languages. The underlying technology here is natural language processing (NLP), a branch of
AI. NLP breaks down a human’s natural sentence into fragments to analyze the syntax and
semantics.
This capability is about executing specific tasks for which you program the bots, for
example, automating data collection, data entry, filing applications and
authenticating users, sending emails, preparing reports, data reconciliation, and
more. With technologies like RPA and low-code platforms, it is possible to create
intelligent, smart workflows.
Take the above instance of data collection. Once the data is collected, it needs to be
analyzed for deriving key insights and decision-making. By leveraging machine
learning, data mining and visualization, and big data management, data can be
ingested into various databases, after which the required decisions are made.

AutomationEdge Platform
Top 5 FTE Spends for a CIO – 2022-23 – Source Gartner
RPA – Business Workflow Automation
iPaaS – Integration Platform As a Service
ITPA with ServiceNow
Conversational /Chatbot
Low Code/No Code HyperAutomation
Platform

The Path to Hyperautomation
Hyperautomation Uses a
Combination of Technologies and
Tools Integrated into RPA
Process
Mining
Advanced
Analytics
Artificial
Intelligence
BPMS
iPaas
RPA

Only Automation vendor mentioned in both
ITPA and RPA Market Guides

Banking Insurance
Other Financial Services
Retail and Consumer Products
Industrial Products
Travel , Hotel and Real Estate
Others
Media and Communication
Technology and BPO
Healthcare
Happy Global Customers

Robotic process automation and intelligent character recognition: Smart data capture In this era of technology disruption, enterprises are under immense pressure to digitise operations, and they are gearing up for a future where human work can be augmented by software robots. Digitisation and automation continue to be the key business drivers across various sectors and industries globally, including government organisations, which have now jumped onto the automation bandwagon. Enterprises are looking to build a digital workforce as part of their automation strategy by combining elements of robotic process automation (RPA), artificial intelligence (AI), optical/intelligent character recognition (OCR/ICR) and analytics to automate their business processes. While RPA technologies are capable of taking on low-value activities in a quick and efficient manner, the next phase is leveraging such automation technologies to deliver intelligent process automation (IPA). OCR is a technology that primarily aims to analyse an image, detect based on patterns if the image contains text, and extract that text into a machine readable format. This helps convert scanned documents into a digitally editable format while comparing the images of the available characters to the ones stored on its database for traditional OCR engines. The newer versions of OCR use machine learning (ML) techniques to recreate the characters and render the best possible match to the user. Based on the image type and type of data that needs to be extracted, these character recognition engines use the options below to recognise text. ICR/OCR: ICR helps in converting handwritten text characters into a machine-readable format. The core difference between OCR and ICR is that in the case of OCR, its capability is restricted to printed data that looks the same given the standardisation of multiple fonts. However, in the case of ICR, it is intelligent enough to decipher data from non-standard documents, which contain handwritten texts with varied formats. templatised with a fixed location for specific data sets. This makes it easier for the OCR engines within the RPA tools to search for data as they can be trained to look for a particular data set on the document at a specified place. Nothing usually moves or changes around these forms of data; therefore, it becomes easier for the bot to look in the same place every time for the information to be extracted. Examples of structured data documents are banking forms, surveys, exam templatised with a fixed location for specific data sets. This makes it easier for the OCR engines within the RPA tools to search for data as they can be trained to look for a particular data set on the document at a specified place. Nothing usually moves or changes around these forms of data; therefore, it becomes easier for the bot to look in the same place every time for the information to be extracted. Examples of structured data documents are banking forms, surveys, e

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There is no doubt the universe of artificial intelligence extends far beyond the world of robotic process automation. AI is actually an umbrella covering a broad set of methods, algorithms and technologies that make software ‘smart’. Machine learning, computer vision, natural language processing, robotics and related topics are all part of AI. They collectively form a subset of AI broadly termed ‘cognitive technologies’.

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Communauté UiPath Suisse romande - Séance de janvier 2024

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Commençons l'année 2024 par une séance de notre communauté UiPath en Suisse romande le jeudi 18 janvier à 13h. Pour cette séance, nous vous proposons une présentation de la solution d'Intelligent Document Processing de UiPath basée sur Communications Mining et Document Understanding. Vous pourrez ainsi découvrir la toute dernière interface "Active Learning" facilitant et accélérant la mise en place de votre modèle spécialisé. Vous pouvez encore nous faire un retour sur la précédente séance et partager votre intérêt pour de futurs sujets dans le formulaire Google ci-dessous : 👉 https://forms.gle/K1mqqSRFivWydV1M9 Nous vous attendons nombreux. En attendant, nous vous souhaitons une très bonne année 2024.

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UiPathCommunity

Artificial Intelligence Solutions are proving to be a valuable asset in today's changing market landscape as businesses strive to remain competitive. The business world is undergoing a huge transformation thanks to artificial intelligence, and companies are already innovating to remain competitive. As we look to the future, it is evident that AI will continue to play a large role in business. By leveraging AI technologies, businesses can gain a competitive advantage as they become more sophisticated. Know More: https://www.rydotinfotech.com/blog/how-artificial-intelligence-is-transforming-business/

Ai Development Company

Ruchir Kakkad

With advancing technology, we are into the age where raw data is so much and the Desire for a system that does computing intelligently, Artificial Intelligence has a very bright future in all the major sectors like Financial Services, Government, Health Care, Military, Transportation and Oil & Gas. On the other hand, Machine Learning is a part of AI, it’s a necessity is a vital factor as advanced systems constantly need an algorithm that self evolves based on patterns and gives output wisely. We relentlessly research and work on solutions that make life easier. Visit: https://www.weboccult.com/services/artificial-intelligence/

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My presentation at the BBC2019 conference. While the current AI fascination is fueled by Machine Learning, the architecture and application landscape is being redesigned around Microservices and APIs. These technologies are combining forces to affect many facets of business, creating a paradigm shift all around you. Do you know how to take advantage of the tsunami created by these technologies? In this session, we will explain these technologies and how to extract business value from them. We will demonstrate how line of business people can integrate machine learning into business decisions that are explainable, auditable, and traceable and how they can easily assemble business automations that orchestrate a series of microservices via modern API platforms. With this knowledge in hand, you will be ready to face the next wave of technologies that are hitting your organization.

Achieving Business Transformation with UiPath RPA

Celonis

UiPath delivers the most advanced Enterprise RPA Platform, built for business and IT. As you strive to benefit from the opportunities of the “Automation First” era, your digital transformation can be accelerated here. And UiPath RPA is constantly adding new AI skills that can be applied to more complex use cases. Join Christian Berg, Director of AI Product Management, and Bella Liu, AI Partnership Lead to learn how UiPath RPA is enabling robots to address process automation end to end with new AI skills powered by Celonis. Presenters: Bella Liu, AI Partnership Lead, UiPath Christian Berg, Director of AI Product Management, UiPath

AI & DEEP LEARNING

Mobiloitte Technologies

AI/ML is a fundamental transformation in how computers are designed, built, used, and experienced by people. Deep learning allows the utilization of large neural networks with various layers of processing units, which helps in taking the advantage of advanced computing energy and improves the training strategies. Deep learning and artificial intelligence represent exciting and most powerful machine learning-based techniques to resolve real-world problems.

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