Understanding Google’s Roadmap for Hyperautomation

What is Hyperautomation?

Hyperautomation enables the Automation of virtually repetitive tasks that business users implement. It uses Artificial Intelligence with Robotic Process Automation to automate these tasks.

In any industry or organization, we have several backend and front-end tasks that are repetitive, time-consuming, and costly. These include recruitment, inventory management, onboarding, invoice processing, etc.

Automation is highly dependent on the organization’s existing IT architecture and business practices to be successful.

Soure: AI, ML, RPA and Hyperautomation

Components of Roadmap for Hyperautomation

Roadmap for Hyperautomation automates complex tasks using tools like Robotic Process Automation, Artificial Intelligence, Machine Learning, Process mining, Analytics, and other advanced tools.

RPA (Robotic Process Automation): RPA is integral to Hyperautomation. In RPA, a software robot mimics human action to perform rule-based, repetitive tasks.
Artificial Intelligence: Artificial intelligence is a system that can analyze and perform actions concerning the environment. AI machine learns similarly to a human learns.
Intelligence Business Management: It is a field of Automation in which rather than automating a single individual task, a whole end-to-end business process is automated.
Network Connectivity: The Internet is essential in today's world for each industry. As everything is moving to the cloud, connectivity is a vital component of Hyperautomation.

UiPath and Google Cloud AI

UiPath and Google collaborate to transform the workplace's productivity and accelerate Artificial Intelligence and the cloud journey. As they have a common goal, they announce their Integration with Google Cloud Centre AI. Companies constantly seek to become more productive and agile. They try to conquer business and technological challenges head-on. So Enterprises move not all but most of their workload to the cloud. Hence enterprises changed into digital businesses. They come with this partnership in which Google Cloud's AI capabilities are combined with the UiPath RPA platform. They provide the perfect infrastructure for introducing AI to a business environment.

Zero Touch Contact Centre Automation Solution

Enhancing customer satisfaction alleviates the overall time taken to respond to customer queries. This enables a human-like automated response while interacting with customers. For automating a complete contact center, one needs to collect resources from multiple resources. UiPath helps to manage resources from various resources. UiPath retrieves, manipulates, and presents information from multiple resources.

How is UiPath beneficial for Organizations?

UiPath integrates with the cloud machine learning engine, letting users run their machine learning models using the computing power of the Google cloud platform. Users can train and serve their models as well. They will get resources very quickly when they need them. In partnership, UiPath makes AI integration easier to manage and control. This helps Google face and handle upcoming challenges, such as Engineering work, high cost, and complexity. Their partnership provides embedding Machine Learning Models with the Google Cloud machine learning engine into the UiPath platform. This led to integrating special applications with holistic process automation. Some examples of these applications are:

Signature verification for cheque comparison
Scanning through job databases for HR purposes
Domain-specific classification or service request management
Provisioning of recommendation

Blue Prism and Google Cloud AI

Blue prism integrates with Google. As a result of their partnership, Blue prism provides Artificial Intelligence, Machine learning, and data analytic tools powered by Google cloud to its customer. According to this integration, the Blue prism will connect with the following Google API’s

Cloud Natural Language API
Google Cloud vision API
Cloud Translate API
Google Machine Learning Engine
Google Cloud storage
Cloud Pub/Sub.

This collaboration allows users of blue prism to fully integrate RPA into their data science pipeline. Users can train and consume custom machine learning models using Google's services. Hence they give their user experience of AI as the Google cloud platform provides pre-drilled AI capabilities. Automation and Artificial Intelligence help industries to transform their business processes.

Features they offer via Integration.

Support advance analytic by Google cloud BigQuery
Integrated Machine learning workflow
Google Cloud Storage
Google Authentication
Certified GCP reference architecture
Simple access to Google's pre-trained AI model

Automation Anywhere and Google Cloud AI
Infogain is a partner of Automation Anywhere. They integrate with Google Cloud for digital Hospitality Companies. They provide a platform for cognitive and on-demand Automation to the client. Infogain manages the list of a large number of properties for clients. Property agents have to gather information on the new property. They were doing this task manually. This task is very time-consuming and error-prone. For this Infogain, create an intelligent bot in Automation Anywhere. This bot can utilize Google Cloud’s Auto ML vision object detection API that automatically amenities by looking at the picture. This intelligent bot helped to double the listing activation. This case set an example of Automation using RPA and AI.

What are the Benefits of a Roadmap for Hyperautomation?

Using hyper-automation, enterprises can automate end-to-end tasks.
Here, software bots are performed, so there is a significantly less chance of errors. The machine will make mistakes only if it is programmed wrong. Otherwise, it will always give you false results.
It helps to advance the analysis and visualization of data.
Hyperautomation helps to automate tasks from basic to more complex.
It can manage Automation's full cycle from discovering automation opportunities to measuring ROI.

Using RPA with google cloud integration, RPA or AI can be called up on-demand or scheduled.

Hyperautomation Use Cases Across Industries

In Medical and Healthcare

Smart billing can be enabled by Automation by automatically compiling and analyzing bill details from every division. Because bills are generated and paid more quickly, this can save a lot of time. Insurance and claims administration in medical clinics can be streamlined with intelligent Automation using AI and RPA. The terms of policies can be recognized by computer-based intelligence, and a BOT can submit bills with crucial supporting materials.

For Data Storage

Data extraction, verification, sorting, organization, and storage in various formats and categories by requirements and usage in the organization are all successfully carried out due to hyper Automation. Making the data easily accessible and saving time frees the workforce from manual tasks where accuracy is one of the main items checked off the list. Data specific to the various departments are automatically forwarded after the processing of the original data is finished. Such labor-intensive jobs have significant applications for hyper-automation and RPA bots, which can

In Manufacturing

While the use of robots in manufacturing has been on the rise for several years, hyper-automation has more to offer. Hyperautomation technologies, contrary to the widespread misconception that "robots can replace humans, leading to a severe crisis and job loss," work in tandem with people to automate and complete tasks flawlessly. In other words, manufacturing hyper Automation is a complement to human labor. For instance, human workers can intervene and monitor the workflow with real-time analytics if Automation produces a part. Enterprise applications can be created using low code for various departments within the unit to streamline the workflow. Manufacturers can use intelligent workflows in a hybrid setup to accomplish the objectives.

In Recruitment

Recruiting employees is a Herculean task regardless of the industry. It starts with advertising, is followed by shortlisting profiles, screening candidates, scheduling rounds of interviews, filtering chosen candidates, and finally, onboarding. There are many parties involved, which leads to greater collaboration. Hyperautomation streamlines the process and modifies conventional practices.

Conclusion

In the end, Robotic Process Automation combined with Artificial Intelligence helps to process hyper-automation. Hyperautomation and Google services make life very easy. They automate things with intelligence. It allows enterprises to perform operations and give assistance to their customers efficiently. Roadmap for Hyperautomation saves time for users by automating repetitive manual tasks that took a lot of time. Those workers can utilize their time for tasks that need creativity. People should not automate things. They should hyper-automate things.