Trending December 2023 # Rpa And Cognitive Automation Together Changing Automation # Suggested January 2024 # Top 15 Popular

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Cognitive automation or additionally called smart or intelligent automation is the most smoking field in automation. Converse with any RPA organization CEO and they will begin discussing cognitive automation. While automation is as old as the industrial revolution, digitization incredibly expanded activities that could be automated. However, as you can read more on RPA tools, starting tools for automation, which incorporates contents, macros and robotic process automation (RPA) bots, focus around automating simple, redundant procedures. This bodes well on the grounds that most core corporate procedures are very tedious yet not monotonous enough to totally remove humans from the circle with simple programming. In any case, as those procedures are automated with the assistance of all the more programming and better RPA tools, processes that require higher-level cognitive capacities are next in line for automation. In its most basic structure, AI includes the capacity of machines to learn from data and apply that learning to tackle new issues it hasn’t seen at this point. Supervised learning is a specific methodology of AI that learns from well-marked examples. Organizations are utilizing supervised machine learning to deal with machines on how procedures work such that gives intelligent bots a chance to learn total human tasks rather than simply being programmed to pursue a progression of steps. This has brought about more tasks being accessible for automation and real business efficiency gains. With regards to automation, tasks performed by easy work process automation bots are quickest when those tasks can be done in a tedious format. Procedures that pursue a basic flow and set of principles are best for yielding quickly viable outcomes with non-intelligent bots. For instance, employees who go through hours consistently moving records or reordering data starting with one source then onto the next will discover huge value from task automation. In any case, there are times when data is deficient, requires extra improvement or consolidates with different sources to finish a specific task. For instance, customer data may have fragmented history that isn’t required in one framework, however, it’s required in another. In these cases, companies need tools with more intelligence. The capacity to catch more prominent understanding from unstructured data is as of now at the forefront of any intelligent automation tasks. Something very important in cognitive automation is judgement. This includes consolidating data with past rules and patterns to choose a strategy. It tends to be effectively part into two sorts; rules-based judgment and trends-based judgment.

Rules-Based Judgment

Rules-based judgment includes decision making dependent on configurable guidelines. For instance, a payable receipt is agreeable if it has a lot of key data present. These principles can without much of a stretch be designed to convey touch-free automation. A lot of decision making in an enterprise process is rules-based once every one of the information is accessible in a predictable format.

Trends-Based Judgment

This includes decision making dependent on past patterns, for example, the choice to write-off short installments from clients. While a considerable lot of the fluffy decision-making in an enterprise process can be classified, extraordinary occasions (e.g., promoting efforts, period-ends, money position, and so on.) can require an instinct-based decision making that can be learned through involvement yet can’t be documented as rules. People play a fundamental job in such territories in being quick and accountable. While a large number of the trend-based judgment decisions will require human input, we see that AI will diminish the requirement for some processing exceptions by foreseeing the best decision. These forecasts can be automated depending on the confidence level or may require human on top of it to improve the models when the confidence level does not meet the edge for automation. A huge part of figuring out what is successful for process automation is distinguishing what sort of tasks require genuine cognitive capacities. While machine learning has made some amazing progress, enterprise automation tools are not fit for understanding, instinct-based judgment or broad analysis that may draw from existing learning in different territories. Since cognitive automation bots are still just trained dependent on information, these aspects of process automation are increasingly hard for machines.

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Email Marketing And Automation Online Training Course

Email Marketing and Automation Learning Path Improve your email communications and marketing automation using a strategic, data-driven approach and best practices How will this Learning Path help me and my business?

This structured e-learning activity will help you or your team learn how a strategic approach to email marketing communications and targeting can boost audience engagement and sales. You will also learn practical tips and view examples that will help you to optimize your emails to boost response.

What is a Learning Path?

Smart Insight’s Learning Paths are our unique interactive online training courses which explain concepts, give examples and test understanding.

Unlike many online e-learning courses, each module is self-contained, so you can quickly access guidance to help improve your marketing activities.

Common modules are shared between Learning Paths to avoid duplication of learning material. You can also complete the full Learning Path to earn a CPDSO certification.

We appreciate finding time for skills development is a challenge. Our Learning Paths enable training to be bite-sized, engaging and – crucially – results orientated. When combined with our suite of templates, you’ll soon be taking your marketing activities to the next level.

Accredited learning activities with the Continuing Professional Development Standards Office (CPDSO)

Each Smart Insights Learning Path has been independently assessed and accredited by the CPD Standards Office, so you can be confident that the quality of the learning and assessment experience has been audited and recognized for its quality.

Development Objective

Members who successfully complete this Learning Path have the ability to review the current contribution of email marketing and automation to their organization and then create a plan to improve subscriber engagement and value with activities to manage and optimize email sequences as part of the customer journey.

Once you have completed a Learning Path, send an email to [email protected] to request your CPD certificate.

Learning Objectives

Make a case for investment in email marketing and automation by reviewing opportunities and understanding marketing automation options.

Forecast email campaign response and programme improvement by defining goals and metrics as well as auditing current effectiveness against benchmark performance.

Review techniques to grow subscribers, increase subscriber engagement and improve email list quality.

Improve lead nurture, reactivation emails and integration of SMS marketing.

Review lifecycle automation options and the use of segmentation, targeting and creative optimization to improve the response of different email and newsletter formats.

Create and agree an email contact strategy and policy and improve pre-broadcast processes and checklists based on best times and frequency for broadcast.

How is the Learning Path structured?

The Learning Path is separated into these topics and modules:

Topic 1 – Discover email marketing and automation opportunities

Review opportunities for using email for acquisition and retention

Understand marketing automation opportunities

Audit email effectiveness

Topic 2 – Setting targets for email marketing

Goal setting for email

Review techniques to grow and improve email subscription lists

Benchmarking email performance

Topic 3 – Improving your use of email and SMS marketing

Review your use of different email types

Essential email design elements

Improve email copywriting

Create an effective e-newsletter

Test and optimize subject line effectiveness

Define data capture and profiling

Review and improve mobile email effectiveness

Integrated SMS marketing

Topic 4 – Segmentation and targeting for email

Segmentation and targeting

RFM analysis

Understand the principles of machine learning and AI

Topic 5 – Email frequency and contact strategy

Review email lifecycle automation options

Create an email contact strategy

Lead scoring and grading

Topic 6 – Improve email governance

Privacy law requirements for digital communications

Select an email supplier

Auditing and improving email deliverability

Roles who will find this Learning Path useful

Company owners and directors working for smaller businesses

Digital marketing managers, executives and specialists responsible for email marketing

Consultants or agency account managers

50+ Top Automation Testing Interview Questions And Answers

1) What is Automation testing?

Here are Automation Testing interview questions and answers for fresher and experienced candidates to get their dream job.

Automation Testing uses an automation tool to execute test cases. The main goal of Automation Testing is to reduce the number of test cases to be run manually and not eliminate Manual Testing.

2) When will you automate a test?

Automation is preferred in the following cases

Repetitive Tasks.

Regression Testing

Smoke and Sanity Tests.

Test with multiple data sets.

Testing is not recommended for one-off test cases. Usually, the decision on which test cases to automate is based on the ROI (Return on Investment). The more times the automated test is executed, the better the ROI.

3) When will you not Automate testing?

One should not automate in the following cases

When the Application Under Test changes frequently

One-time test cases

Adhoc – Random Testing

Exploratory Testing

Usability tests that generally need manual intervention to check the test results

Test cases with detailed setup requirements to be done before each execution

Test cases that return unpredicted test results

Exclude unplanned test case

4) What are the steps involved in the Automation Process?

In the automation process, the steps involved are

Selecting the Test tool

Define the scope of automation

Planning, design, and development

Test execution

Maintenance

5) What are the points covered while planning the phase of automation?

During the planning phase of automation, things that must be taken into concern are:

Selection of the “right” Automation tool

Selection Automation Framework, if any.

List of in-scope and out-of-scope items for automation.

Test Environment Setup.

Preparing Gantt Chart of Project timelines for test script development & execution.

Identify Test Deliverables.

6) In what condition you can’t use automation testing for the Agile method?

Automation testing is not helpful for agile methods in the following conditions:

When user stories are constantly changing

When an exhaustive level of documentation is required in Agile.

Only suitable for regression tests during agile testing, like continuous integration.

Learn more about Agile Testing.

7) What is a test script?

A test script is a code to perform a set of instructions on an application. It is used to verify whether the application is functioning as per the software requirements.

When you run your script, it gives the test results as a pass or fails, which is determined by whether the application works as per the expectations.

8) How to select a good test automation tool?

Wide Test Environment support

Easy to use

Good debugging facility

Robust object identification

Record and Playback

Supports common programming languages for test script creation, for example, Java

Image testing abilities

Testing of database

Parameterization

Support multiple automation frameworks

Type of support is available for the tools like documentation, tutorials, training, etc

Cost and budget

Good reporting system

9) Can you tell me some good coding practices while automation?

Here are good automation practices:

You should identify the reusable methods and write them in a separate file.

Must follow the language-specific coding conventions.

Store the test data in a separate file.

Run your scripts regularly.

10) What is a Modular Testing framework?

Modular Testing framework is built on the concept of abstraction. In this type of framework, the tester creates scripts for all the application modules under test, and then these scripts are combined in a hierarchical order to create test cases.

11) Data-Driven Testing framework

In Data driven testing framework, the input and expected output data corresponding to the input data is stored in a file or database.

The automated script runs the same test steps for multiple data sets. It also allows you to run multiple test cases where only the input data differs, but the steps of execution remain the same.

12) What version control systems do you use?

We use GitHub. Version control helps you to track code changes. It controls the test script source code with a recorded history of changes to simplify the modification process. You may also revert to previous code versions if you make a mistake.

13) What are XPath Axes? Name some of them.

XPath is a syntax that manipulates XML (Extensible Markup Language) data. They help to locate nodes related to those on the tree. Some important XPath Axes are ancestor, child, namespace, parent, etc.

14) How can you speed up an auto test suite?

Applications that require UI testing that interacts with multiple elements can slow down the testing process. It’s better to create a simple test script that speeds up test execution.

15) Is documentation necessary in Automation Testing?

Documentation plays a vital role in Test Automation. You should document all the methods and procedures to ensure their repeatability. Test specifications, designs, code changes, test cases, automation plans, bug reports

16) What types of frameworks are used in software automation testing?

Four types of frameworks used are

Data-driven automation framework

Keyword-driven automation framework

Modular automation framework

Hybrid automation framework

Learn more about automation frameworks

17) Is it possible to achieve 100% automation?

No, it is not possible to automate everything. Achieving 100% automation is difficult as there are some scenarios where a registration page has a captcha or some test cases we don’t execute often. Moreover, automating these test cases will not add value to the automation or bring positive ROI.

18) What is the average number of test cases you have automated per day?

The answer depends on the length and complexity of the test scenario. Generally, a QA tester can automate 2-4 test scenarios daily when the complexity is limited. However, sometimes it might reduce to 1-2 when the complexity is high.

19) What is the scripting standard while performing automation testing?

While writing the scripts for automation, you must consider the following things:

Uniform naming convention.

Adequate indentation.

Robust error handling and recovery scenario.

Use of Frameworks wherever possible.

20) What are the most popular tools for automation testing?

The most popular test tool for automation testing are:

Selenium

UFT.

Rational Robot.

Here is a complete list of automation testing tools.

21) How can you measure the success of automation testing?

Following criteria can map the success of automation testing:

Defect Detection Ratio

Automation execution time and time savings to release the product

Reduction in Labour & other costs

Manual testing requires more time and more resources.

Inaccuracy

Executing the same test case repeatedly is error-prone and tedious.

It is impractical to do manual testing on very large and time-bound projects.

23) What are the differences between open-source tools, vendor tools, & in-house tools in automation testing?

Here are the differences between all:

Open-Source Tools: They are free tools with source code available on the internet. Example: Selenium

Vendor Tools: These testing tools are developed by companies, and you need to purchase their licenses. Example: Microfocus UFT.

In-house Tools: It is built by companies for their use.

24) What are the Prerequisites of Automation Testing?

A few important pre-requisites of Automation Testing are:

A stable build

Functionalities to be tested

Test cases for automated Testing

25) Can you do automation without a framework?

Frameworks are guidelines and not mandatory to create and execute automation scripts. So, yes, we can automate without a framework. Enhancing and maintaining test scripts would be easy if we created and followed a framework.

26) Tell me what you know about Selenium

Selenium is a free (open source) test automation suite. It is used to automate Web and Mobile environments. It consists of the following.

Selenium IDE (Browser Addon–Record and Playback Tool)

Selenium WebDriver

Selenium Grid (Distributed Testing)

Selenium supports scripting in languages like Java, C#, Python, Ruby, PHP, Perl, and JavaScript.

27) Tell me about QTP

QTP (Quick Test Professional) is now known as Microfocus UFT. It is a commercial automation tool and supports an extensive range of test environments: Web, Desktop, SAP, Delphi, Net, ActiveX, Flex, Java, Oracle, Mobile, PeopleSoft, PowerBuilder, Siebel, Stingray, and Visual Basic, amongst others.

The scripting language is VBScript. The tool gels well with ALM (Test Management Tool) and LoadRunner (Performance Testing Tool).

Salient features of QTP include Business Process Testing, keyword-driven framework, XML support, robust checkpoints, and test results.

28) What is SikuliX?

SikuliX is a tool that uses the “Visual Image Match” method to automate the graphical user interface. All the web elements in SikuliX should be taken as an image and stored inside the project.

SikuliX is comprised of

SikuliX Script

Visual Scripting API for Jython

SikuliX IDE

Practical uses of SikuliX are:

It can automate window-based applications and anything you see on screen without using internal API support.

It provides a simple API.

It can be easily linked with tools like Selenium.

Web applications can be automated.

SikuliX offers extensive support to automate flash objects.

It can work on any technology chúng tôi Java.

29) Mention what the difference between Selenium and SikuliX is?

SikuliX Selenium

It provides extensive support to automate flash objects It cannot automate flash objects like video players or audio players.

It has a simple API It has got complicated API

It uses a visual match to find elements on the screen. So, we can automate anything we see on the screen. It uses CSS, ID, locators, and other selected to identify GUI elements

It can automate the web as well as windows application It can automate only web applications

30) What are the attributes of a good automation framework?

Here are some important attributes of a good automation framework:

Modular: It is a framework that should be adaptable to change. So that testers should be able to modify the scripts as per the environment.

Reusable: It should be reusable so that methods or utilities should be written in a common file accessible to all the scripts.

Consistent: It should be written in a consistent format.

Independent: The automation scripts should be written in such a way that they are independent of each other.

Integration: Automation Framework should be developed in such a way that it is easy to integrate with other applications.

31) What is Cross-Browser Testing?

It is a subset of browser automation testing that helps you ensure that the online application operates correctly across different browsers. Google Chrome, Mozilla Firefox, Microsoft Edge, Safari, etc.

The main aim of cross-browser testing is to check that your website or web app works correctly on different combinations of browsers and OS.

32) Which Testing can be done using the Selenium Framework?

You can use a Selenium framework for the following testing:

Load testing of web applications.

Regression testing of web applications.

Functional testing of web applications.

33) Is Automation testing white box testing or black box testing?

Automation testing is primarily black box testing.

34) What keyword is used to fetch the URL of the current page in Selenium?

Selenium WebDriver can help you find the current URL of a page with the getcurrentURL(). This method will find the URL of the open applications and result in a string.

35) Where will you maintain information like URL, login, and password?

URL, login, and password are important information used very often and change frequently. They should always be maintained in a separate file. If not done, then the automation tester must change it in every file with its reference.

36) What are the Extensions and Test Assets of QTP?

Some Important Test Assets and extensions of QTP are:

Results .xml

Recovery scenario .qrs

Test batch runner .mtb

Shared object repository .tsr

Local object repository .mtr

Test file .mts

Function library .qfl

37) What are the differences between manual testing and automation testing?

Here are some major differences between manual and automation testing:

Parameters Manual Testing Automation Testing

Time consumption More Less

STLC Follow manually Follows using tool

Cos Less expensive Expensive

Reliability Less Reliable Highly Reliable

Quality Low High

Skill Set Less skill set required High skill set is required.

38) What are the essential modules of an automation testing framework?

Here are some essential modules of the automation testing framework:

Test Assertion Tool: This testing tool will provide assert statements for assessing the expected values in the application under test. For Example, Junit, TestNG, Junit, etc.

Data Setup: Ensures that each test case takes the test data from the database, a file, or embedded in the test script.

Build Management Tool: The framework requires to be built and deployed to create test scripts.

Continuous integration tool: They are required to integrate and deploy the changes done in the framework at each iteration.

Reporting tool: It helps to generate a readable report after the test cases for a better view of the steps, failures, and results.

Logging tool: They help in better debugging of the error and bugs.

39) What is Cucumber? 40) What is Test Complete?

TestComplete is an automated UI testing tool for desktop applications, web, mobile, etc. It offers the flexibility to record a test case on one browser and run it on multiple browsers, thus supporting cross browsers testing.

41) What is Cypress?

Cypress is an open-source testing framework. It is developed in JavaScript and has lately gained popularity because of its simplicity and extensive capabilities that enable browser testing, and user manuals should be thoroughly documented.

42) How can you handle the alert popups in Selenium WebDriver?

Selenium gives alerts if there are issues while you test. The pop-up interface allows you to handle the alert by switching the control to the pop-up, pressing the OK or Cancel buttons, and turning back to the source page screen.

String srcPage = driver.getWindowHandle(); Alert pop = driver.switchTo().alert(); 43) What is a Hybrid Testing framework?

The Hybrid Testing framework develops the test cases from modular scripts by combining them in the modular testing framework.

44) Write steps to automate primary “login” functionality test cases for an application?

Here are the steps to automate basic login functionality:

Step 1) Understand the project requirement.

Step 2) Identify the Test scenarios

Step 3) Prepare a data input file with the data corresponding to each scenario

Step 4) Launch the tool from the program.

Step 5) Identify the username, password, and login buttons.

Step 6) Verify that the error message for negative scenarios is the same as the success message for positive test -scenarios.

These interview questions will also help in your viva(orals)

What Is Marketing Automation And How It Helps Businesses Grow

blog / Sales and Marketing What is Marketing Automation and How it Helps Businesses Grow

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Effective marketing is often synonymous with the consistent repetition of diverse engagement strategies. But tedious and monotonous tasks can eat up not just resources, but also precious production time. This is why about 56% of companies worldwide currently use marketing automation. It has unfolded a systematic mix of human and Artificial Intelligence (AI) to reach the right message to the correct audience at the precise time. So, what is marketing automation and why are so many companies adopting it within their marketing paradigms?

What is Marketing Automation? How Does Marketing Automation Work?

The following features are critical for understanding what is marketing automation and how it works:

Marketing automation optimizes workflows, enriches campaigns by personalizing them, and anchors the sales and marketing teams in one organic vision.

Automation software systems automate emails, social media posts, ad campaigns, chatbots, and CRM strategies, with the end goal of maximizing customer conversion rates.

Marketing Automation Examples

Welcome emails:

This is the most common approach to personalization and momentum building for new and old customers alike.

Customer quizzes on social media:

User polls multiply engagement as they are crisp and demand less bandwidth from a potential customer.

Intelligent social media automation:

This long-term automation strategy yields engagement with a consistent social media presence and a stable content base to build a large following.

Focus on incomplete buys:

According to a

Generix report

, 55% to 75% of shopping carts are abandoned in the pricing stage. Rethinking email marketing or notification campaigns with direct links to shopping carts will help you secure buys and avoid user distraction.

ALSO READ: Is Inbound Marketing the Strategy You Need to Boost Sales?

What is Marketing Automation Used for?

Thorough integration with other aspects of your business enables automation to achieve the following objectives:

Tailored content:

By capturing the right data and meticulously analyzing customer preferences, marketing automation pushes you toward an informed and satisfied customer base.

Enhanced team creativity:

Allows the marketing department to focus more on ingenious marketing strategies and boost your business prospects.

Converting customer base to brand loyalists:

Once users achieve a sense of comfort due to consistent active responses to individual customer needs, they prefer sticking with your brand.

What Tools are Used for Marketing Automation?

Here’s a list of some popular automation tools:

Hubspot:

All-in-one inbound marketing software

Eloqua:

An automation tool supporting third-party integration

Customer.io:

A lightweight automation tool offering superior customizations

Constant Contact:

An end-to-end automation tool for small businesses

Best Practices for Marketing Automation

Marketing automation isn’t just about blindly automating all your marketing strategies. Here are some best practices:

Personalized welcome emails:

Categorize email strategies according to consumer status before sending them out. A customer resuming a subscription after two months should receive a different confirmation email than someone who just became a new customer.

Personalized consumer data usage:

Occasions of offers and discounts should cater to customers of varied tastes. Keep track of birthdays, anniversaries, and personal religious rituals —

Yom Kippur,

Thanksgiving, Christmas — of the customer base to maximize intuitive customer responses to your push notifications.

Brand loyalists:

RSS-push notifications, if channelized correctly, can target brand loyalists who have the highest chance of engaging with the company and increase sales via word of mouth.

How Does Marketing Automation Impact the Customer Journey?

Let’s see what the role is of automation in improving customer satisfaction to ensure minimal friction in the different stages of the customer journey.

Gaps in research:

With detailed consumer data, filling research gaps on specific customer bases accelerates the onboarding process of new market segments.

Removing unnecessary friction:

Automation of marketing channels also means centralizing your resources. Implementing a sequential marketing order greatly reduces fluctuations in consumer decisions as the effects are measured and optimized.

ALSO READ: How to Become a Marketing Manager Who Can Foster Growth

What Can Marketing Automation do for Your Business?

Let’s focus on what is marketing automation’s direct significance to a company.

Customer centricity:

Automation strategies ensure that the customer is at the center of all your business development efforts. Apart from reducing customer effort along the marketing funnel, it streamlines the work processes that function well after the purchasing decision has been made.

Cross-functional workflows:

Marketing automation streamlines cross-functional teams who share insights with each other and drive superior content practices, removing complicated hand-off procedures such as data collation or updating individual team progress.

Career Outlook for Marketing Automation Professionals

According to the U.S. Bureau of Labor Statistics, marketing professionals will witness a 10% surge in demand between 2023 and 2031. As consumer-company relationships become more digitalized, there will be a proliferation in the variety of jobs on offer. A marketing automation professional can bag the following portfolios:

Product Manager

Event/campaign manager

Market analyst

Business analyst

Social media manager

Media planner

Public relations (PR) representative

Knowing what is marketing automation provides you with the best answers for organizational needs pertaining to seamless digital experiences for the modern-day consumer. You can make the most of the opportunities presented by marketing automation by pursuing Emeritus’ online sales and marketing courses developed in collaboration with some of the best universities in the world.

By Bishwadeep Mitra

Write to us at [email protected]

Intelligent Automation Strategy: 5 Key Components In 2023

According to an IBM and IDC joint study, companies that are first movers in AI-powered automation initiatives are more likely than laggards to track innovation (42% vs 17%), efficiency (35% vs 26%), and customer satisfaction (32% vs 14%), as seen in Figure 1.

Figure 1. Business outcomes from intelligent automation. Source: IBM

However, it is important to note that implementing automation solutions without proper orchestration across the enterprise can cause solutions to work in silos and result in redundant use of automation tools with inconsistent governance, as Forrester suggests.

Business leaders must develop a solid strategy to ensure the long-term success of their automation efforts. In this article, we’ll explore 5 steps to a successful intelligent automation strategy.

1. Start with defining your business strategy

As with other strategic enterprise initiatives, automation initiatives’ success depends on developing a business strategy and aligning with it. Intelligent process automation shouldn’t be implemented for its own sake. Instead, it should deliver positive business results and return on investment (ROI). So, businesses should determine:

The desired business outcomes of implementing intelligent automation,

Whether intelligent automation tools are suitable to achieve these outcomes,

How intelligent automation fits into their overall digital transformation and hyperautomation strategy,

How to measure the success of the initiative.

Determining these will enable organizations to:

Review their business strategy and align it with what intelligent automation offers,

Improve their intelligent automation strategy according to success metrics,

Avoid costly failures.

2. Establish an automation center of excellence (CoE)

An automation center of excellence (CoE) is a business unit that oversees and coordinates all automation initiatives within your organization. Consisting of automation strategy leaders, analysts, and developers, such a dedicated unit is crucial for enterprise-wide efforts because:

It develops a unified vision and standardized practices for intelligent automation across the entire organization,

It closes the gap between technical implementation of the automation technologies and business decision-making,

It tracks performance and identifies improvement opportunities,

It helps adopt automation at scale as it coordinates automation efforts across different business departments.

Check our articles on RPA CoE and AI CoE for best practices for building centers of excellence.

3. Leverage process intelligence

Before implementing intelligent automation to specific business processes, businesses need to ensure that:

They automate the right processes,

Selected processes are optimized and ready for automation.

Having a comprehensive understanding of how different business processes function and how they relate to each other is essential to ensure these outcomes. On the other hand, real processes and workflows are often complex and can have unnoticeable discrepancies than assumed processes.

Process intelligence is an ideal technology to understand the as-is state of existing business processes. It involves collecting real-time process data to identify improvement and optimization opportunities and prepare processes for automation, with tools such as:

For instance, by using process mining during robotic process automation (RPA) implementation, businesses can increase the business value by 40%, reduce RPA implementation time by 50%, and decrease the RPA project risk by 60%.

Explore our comprehensive guidelines to deploy process mining for your RPA project management.

Also, you can check our article on how to identify and prioritize processes to automate.

4. Select the right tool

Vendor selection can be challenging and time-consuming because process automation tools come in different types, and some have additional capabilities, even when marketed under the same name. For instance, within the RPA & intelligent automation landscape, some factors to consider when choosing a tool include:

Cognitive capabilities

Attended vs. unattended bots

Low/no code bot creation capability

Process mining capability

Self-learning bots

Integration with other enterprise software

Choosing the wrong vendor can be costly when selecting an intelligent automation tool because almost all platforms are proprietary, and the bots you build with them will remain on that platform, resulting in vendor lock-in. Therefore, businesses must include a vendor selection strategy within their intelligent automation strategy.

We have written comprehensive articles on how to select an RPA & intelligent automation vendor to help businesses in their vendor selection process:

We also have data-driven lists of RPA software and intelligent automation solutions.

5. Ensure employee engagement

Most executives believe that their organization does not have the necessary skills for process automation. Moreover, employee resistance is one of the top challenges when implementing RPA and other automation technologies. Around two-thirds of executives say company culture is a barrier to digital transformation.

These facts demonstrate the importance of employee engagement for the success of intelligent automation and other digital transformation efforts across the enterprise. Artificial intelligence (AI) and RPA have many myths surrounding them, most notably employees’ fear of being replaced by intelligent technologies. Thus, companies should:

Develop a change management strategy and create a company culture around AI and automation,

Provide reskilling and upskilling opportunities for employees,

Ensure that all stakeholders are on-board with the changes,

Exchange feedback with employees.

Check our article on AI myths and RPA myths to learn more about misconceptions about these technologies.

Moving From Multicloud To Supercloud: Automation Takes Charge

Supercloud: a new approach to security in a multi-cloud environment with automation

Multicloud is really not about the public clouds it’s built on. The use of multiple clouds is both an intentional strategy and the inevitable result of the nature of early cloud adoption. Beginning to emerge, such as supercloud, distributed cloud, meta cloud, abstract cloud, and cloud-native. It is an innovation enabling to benefit from “on-demand” security services for multi-cloud environments. Security and dependability of data and services in a multicloud environment: this is now possible thanks to the supercloud project.

Automation has become a requirement in any field. Data from the cloud can’t be manually manipulated, controlled, and operated; customers expect a seamless experience. Automation eliminates waste with cost policies that alert on cost anomalies and take automated actions on idle and underused resources. And supercloud improved automation across clouds, application functionality, and efficiency of certain workflows, such as the ability to conduct analytics without data movement and reduced risk of failures or cybersecurity attacks

From Multicloud to Supercloud:

The meta cloud concept will be the single focus for the next 5 to 10 years as we begin to put public clouds to work. Having a collection of cloud services managed with abstraction and automation is much more valuable than attempting to leverage each public cloud provider on its terms rather than yours. It provides a decentralized alternative to the traditional cloud computing paradigm.

Public cloud providers through abstract interfaces access specific services, such as storage, computing, artificial intelligence, data, etc. It enables freedom from the barriers set by current public or private clouds, and the combination of the deployment security that one finds in private clouds with the upscaling flexibility of public clouds.

Cloud-spanning technology allows us to use those services more effectively. It is a type of cloud delivery model in which an application is deployed and executed over multiple simultaneous cloud platforms and infrastructure. And it enables a cloud application to distribute its computations and components across one or more cloud environments. It also reduces vendor lock-in by combining several cloud solutions to form an enterprise cloud solution.

However, managing a multi-cloud environment can be complex, challenging, and expensive without proper planning, and execution. A meta cloud removes the complexity that multicloud brings these days. This user-centric architecture enables the user to choose, autonomously and on-demand, their protection requirements and the security services necessary to guarantee these. The medical field is far from being the only area that could benefit from this new security model in multi-cloud environments: supercloud uses are virtually limitless.

Datacenter providers, such as CoreSite, automate access from primarily enterprise customers to multiple clouds; this translates into better speeds and control for customers, more responsiveness, and an overall better customer experience. These solutions can be leveraged by similar companies that operate within their vertical markets, and are often made available as free, open-source tools. The goal is to deliver value above and beyond what’s currently available within an existing cloud platform while making it easier for teams to get what they need out of these powerful resources.