Tech

For organisations to compete in the modern business market and achieve customer expectations, testing is a crucial component of the digital transformation that is taking place today. Automation Testing has evolved into one of the software testing methodologies that has made testing simpler and easier for testing teams thanks to test automation technologies.

Professionals dissatisfied with the conventional methods of manually testing their software can use technologies like Selenium to automate tried-and-true QA testing approaches for validating their apps. If you’re new to Selenium and need convincing arguments for why businesses should transition to automation testing, this article has all the information you need right now.

Due to the abundance of options available when testing software, you might need to remember to include Selenium on your list of the best tools for testing mobile apps. You will find all the information you need in this post, including the prerequisites to begin automating Selenium testing.

Understanding Selenium

Selenium is an open-source software suite that provides a set of tools and libraries for automating web browsers. It enables programmers and testers to create scripts or code that interacts with online components, executes commands, and checks the functionality of web applications.

Selenium has applications outside functional testing; these include web scraping, regression testing, and performance testing. Users may implement Selenium into their current testing ecosystems because of how effectively it connects with other testing frameworks and tools.

Selenium is an open-source project, and ‌it has a sizable and vibrant community that supports it, contributes to its development, and exchanges resources. It has become a popular alternative for automating web application testing thanks to this community-driven strategy, enabling quicker and more effective testing procedures.

Selenium Automation Testing: An Overview

Selenium automation testing is a well-liked framework for automating web applications. To save time and effort on routine manual testing tasks, it offers a set of tools and libraries that testers can use to automate the execution of tests on web browsers.

At its core, Selenium is an open-source software suite comprising several components. The most popular one is Selenium WebDriver, which provides a programming interface for interacting with web elements, performing actions like clicking buttons, filling forms, and verifying page content. Testers can write tests in their preferred language thanks to WebDriver’s support for a variety of programming languages, including Java, Python, C#, and Ruby.

Selenium’s architecture follows a client-server model, where the WebDriver acts as a client that sends commands to a browser driver, which ‌controls the browser and executes the desired actions. This architecture makes Selenium compatible with a wide range of browsers, including Chrome, Firefox, Safari, and Internet Explorer.

Best Practices For Selenium Automation Testing

Selenium is an indispensable tool for web application testing because it is a commonly used open-source framework for automating web browsers. It’s crucial to adhere to recommended practices for Selenium automation testing to ensure effectiveness and efficiency. Here are some essential rules:

1. Use a Reliable Test Framework

To structure and arrange your Selenium tests, pick a trustworthy test framework like TestNG or JUnit. You may efficiently develop and run tests by using a strong test framework, which offers crucial features like test dependency management, test parallelization, and reporting capabilities.

2. Use a Page Object Model (POM)

Use the Page Object Model design to make your Selenium tests easier to maintain and reuse. POM separates from the underlying page structure the test logic, making updates and revisions simpler. Your application’s pages should each have a corresponding page object that encapsulates the page’s interactions and components.

3. Use Explicit Waits

Explicit waits are essential for keeping your tests in sync with the application’s actions. You can tell Selenium to wait for particular circumstances before moving on to the next phase by using explicit waits. By using this method, you may ensure that the items you need to interact with are available, visible, or in the desired condition before taking any action.

4. Implement Test Data Management

Maintaining test integrity and repeatability requires effective test data management. Use data-driven methods to handle various test scenarios and keep your test data and scripts separate. It is simple to maintain and reuse test data when it is externalized into independent files or databases.

5. Perform Cross-browser Testing

It is necessary to ensure compatibility with your web application because Selenium supports a variety of browsers. To confirm that your application works properly in diverse situations, set up your tests to run on numerous browser setups, such as Chrome, Firefox, Safari, and Edge.

5. Utilize Parallel Execution

Selenium tests can take a long time to run, particularly when working with big test suites. Utilize the test framework’s parallel execution features to execute tests simultaneously on many threads or machines. This greatly shortens the total execution time and enables feedback on test findings to be given more quickly.

6. Implement Logging and Reporting

Include tools for logging and reporting in your Selenium tests to gather thorough data on test execution. Comprehensive reports give insight into test coverage, success rates, and trends while logging aids in diagnosing and debugging test failures. Making relevant reports is made easier with the help of programs like ExtentReports and TestNG reports.

7. Maintain Test Stability

Maintain the stability and dependability of your tests by using adequate synchronization, distinct and trustworthy locators, and suitable handling of dynamic aspects. Hardcoded waits should not be used because they can cause tests to fail. Review and update your test scripts frequently to reflect changes to the application.

8. Continuous Refactoring and Optimization

Refactor your test scripts frequently to make the code easier to read and manage. Follow best coding practices, reduce code duplication, and make your code more modular. This method reduces the amount of work necessary for test maintenance and makes it simpler for team members to work together.

9. Integrate with Continuous Integration (CI)

For smooth and automated test execution, integrate your Selenium tests with a CI platform like Jenkins or TeamCity. This guarantees that tests are launched immediately in response to code modifications, giving quick feedback on the functionality and stability of the program.

Getting Started with Selenium Automation Testing

Testers can automate web browsers on various platforms with the help of the robust and cost-free Selenium automation framework. It has many features, including support for multiple languages, cross-browser compatibility, and simple integration with various testing frameworks.

You may save testing time, increase test coverage, and boost the general quality of your online applications by utilizing Selenium automation testing. Let’s plunge in and explore the fascinating Selenium automated testing realm!

Setting Up Java

1. Java Development Kit (JDK) installation is necessary for Eclipse IDE to function on your computer. Therefore, before using the Eclipse IDE, it must be installed and configured. By going to the Java Downloads website, you can download JDK.
2. Download the JDK file for your computer’s operating system. Make sure to configure the environment variables after installing Java. By entering the following command into the command prompt along with Java -version, you can determine whether the installation process was successful.
3. The Eclipse IDE must be downloaded from the Eclipse IDE for the Java developers page after the JDK has been successfully installed and set up on your PC.
4. After downloading the zip file to the place where you want to begin the IDE, extract it there. The “eclipse.exe” file in the Eclipse folder can be opened by simply double-clicking it.

Setting up the Selenium Library

The Java Client Driver for Selenium will now be downloaded. The official page of the Selenium website offers a download for this.

Setting in a Browser Driver

You must now download the browser drivers to instantiate the browser.

• Go to the Browsers area of the Selenium website to obtain drivers for additional browsers.
• The executable path of a given browser must be specified specifically to launch it. When you’re done, create the driver instance, then carry on with the code execution.

This is a challenging operation because we have to perform these steps for every version upgrade. The “WebDriverManager” class from Selenium can be helpful in this circumstance. To execute Selenium automated testing, you can download the driver’s binary file (or.exe files) using WebDriverManager.

Run Selenium Test on Cloud Selenium Grid

We must be certain that we have a parallel testing method as the complexity of our application rises. Running several tests simultaneously allows them to be completed more quickly. Your tests will complete more quickly the more evenly dispersed they are among several machines.

The Selenium Grid enables parallel execution by directing commands from a hub server to distant Web Browser instances. Thanks to the Grid, you can test your website using many browsers and operating systems. However, running the Selenium test on several OS and browser combinations is a more realistic scenario.

LambdaTest is a unified intelligent cloud-based digital experience testing platform that offers a Selenium Grid that enables developers and testers to conduct concurrent tests across over 3000+ distinct browsers and operating systems, as opposed to depending on local Selenium. With LambdaTest Selenium Grid, you can effortlessly distribute your Selenium tests across a scalable cloud infrastructure, running them in parallel across multiple browsers, versions, and operating systems.

Conclusion

In conclusion, software testers can use Selenium Automation Testing as a strong tool to verify the dependability and quality of web applications. This starting guide has given a thorough explanation of Selenium, its elements, and important ideas. Users may easily generate test scripts and run automated tests by following step-by-step instructions.

Selenium is a great option for automated web application testing due to its adaptability, cross-browser interoperability, and support for many programming languages. Selenium gives testers the power to find bugs early, increase test coverage, and improve the overall quality of software. Thus, through continuous integration and sophisticated reporting features. Testers may speed up their testing procedures, minimize human labor, and provide end users with high-quality web apps by understanding Selenium automation testing.

In this article we look in detail at CNC turning, what parts can be made with it, what its advantages are and how it compares to other types of subtractive manufacturing.

What is CNC turning?

CNC turning is just one form of Computer numerical control machining, an umbrella term used to describe a series of similar subtractive manufacturing methods including both milling and cutting. Operated via digitalised design instructions, CNC turning uses a high-speed rotating metal bar positioned inside a chuck. The bar is fed into a lathe with portions of it removed by a precision cutting tool to achieve a required shape. Different cutting tools can be utilised to create a variety of contours and dimensions. Typically, CNC turning is used to mass produce cylindrical objects and components such as rings, tubes and other more complex circular shapes.

Types of CNC turning

There are a number of different types of CNC turning, including:

• Taper turning which uses a gradual reduction in diameter during operation to form a tapered shape.
• External turning manipulates the outer part of a workpiece and is one of the most common turning processes.
• Internal turning is when the inner diameter of the workpiece is machined and modified. Horizontal, longitudinal turning are versions of internal turning.

What can you make using CNC turning?

CNC turned parts are used in a variety of industries including electronics, manufacturing, telecommunications and automotive. They are made using a diversity of materials including aluminium, steel, plastic, copper and brass.

Typical components made using CNC turning include:

• Pins
• Nuts
• Connectors
• Studs
• Rivets
• Fasteners
• Nozzles
• Screws
• Rods

What are the benefits of CNC turning?

There are several key benefits to using CNC turning. Firstly, because of the speed at which parts can be produced, it is an ideal technology for fast turnaround projects. Along with speed, the accuracy at which the parts can be produced mean final products and components are ideal for industries where precision is paramount.

The large variety of materials suited to CNC turning is also a big advantage in terms of the scope of design possible, as well as the varying sizes of products that can be produced with turning. Further choice comes with a diversity of finishing options including galvanising, polishing, painting, nickel plating and various colour options.

What are the disadvantages of CNC turning?

Like other CNC machines, turning machines are expensive compared to those operated manually. Because CNC machines are computer controlled, they require the necessary skills from a trained operator, and in the event of a break down, highly skilled professionals are required to fix problems which can cause interruptions to production.

How is turning different from other CNC machining?

To get the full picture on how CNC turning is used, it’s useful to look at other forms of CNC machining. The fundamental difference in other subtractive processes such as milling and plasma cutting is that spinning tools are used to move along a stationery workpiece to cut it. With CNC turning, the workpiece itself rotates against stationery cutting tools.

CNC milling

Milling is often used for creating slots and holes as well as shaping objects. The cutting tool shapes the outer area of the workpiece which can be carried out in different directions on different axes, and also, at differing speeds and pressure.

CNC plasma cutting

A CNC plasma cutting machine uses a hot jet of ionised gas (plasma) to cut through conductive metals and form different shapes. They too are controlled numerically by computer. Plasma cutting is used extensively in automotive repair, construction and scrapping industries. It is a highly precise and speedy form of cutting and also, can be undertaken at a relatively low cost.

CNC laser cutting

CNC lasers cut through sheet metal using the beam from a laser to melt the material and form precise shapes. A high-pressure gas is used to remove molten material in the process. It is a technology flexible enough to work with a large range of materials, produces short lead times, causes relatively low damage and can produce complex and sophisticated shapes.

CNC routers

A CNC router is used for tasks such as cutting builders’ foam, engraving granite, cutting cardboard templates and milling brass. It is a tool which replaces a hand-held version and thanks to its digital control, produces more accuracy and consistency.

Conclusion

Understanding the different forms of CNC machining puts CNC turning into a greater context and it’s easy to see with so many different product requirements in a modern world, why the specific results produced by turning will continue to be sought on a global scale. CNC machining remains a thriving sector and with further developments in technology and machinery, alongside the reliance of key industries upon it, it looks set to remain a dominant form of manufacturing.

Virtual Phone System  – Success in today’s fast-paced business relies on efficient, seamless communication. Achieving this can sometimes seem like a daunting task. That’s where virtual phone systems come in handy; they are reliable and effective modern-day solutions that help alleviate this common challenge.

Whether managing 15 or 150 employees, you’ll benefit from a virtual phone system that modules incoming calls amongst your staff as needed to ensure prompt customer service promptly and appropriately manage all of your latest business needs.

This is where a virtual phone system comes into play. A virtual phone system offers a range of features and benefits that can significantly enhance your business communications. Let’s explore the top four advantages of a virtual phone system for your business.

1. Enhanced Professionalism with Phone Numbers

A virtual phone system allows you to choose from various phone number options. You can opt for local numbers to establish a local presence, toll-free numbers to give your customers a convenient way to reach you without incurring charges, 800 numbers for a prestigious and recognizable image, or even vanity phone numbers that spell out a word or phrase related to your business. Having a professional and easily memorable phone number enhances your business’s credibility and makes it easier for customers to contact you.

Another feature of it is an advanced caller ID. Show your business name & number on the outgoing caller ID. This adds a sense of professionalism and makes it easier for customers to recognize you. This allows you to identify incoming callers to better prepare for the conversation and provide prompt customer service.

Set dates & times for when your phones are available. This ensures that calls are unanswered during off-hours, saving your business from any possible customer confusion. You can also create automated message greetings for customers that call outside of your regular business hours.

A virtual phone system can make it easier for customers to reach your business during operating hours. This feature allows you to configure the system based on the time of day or day of the week, allowing you to accurately route calls to specific departments or numbers outside of regular working hours. This way, customers can quickly contact someone when they need most assistance.

2. Streamlined Call Management with Advanced Features

One of the significant benefits of a virtual phone system is the capability to forward efficiently and route business calls to any location. Whether working from the office, traveling, or remotely, you can effortlessly direct incoming calls to the appropriate person or department. This functionality eliminates the necessity for multiple phone lines or hardware, streamlining call management seamlessly.

In voice calls, a virtual phone system can send and receive SMS and MMS messages for seamless business communication. Text messaging offers a swift and convenient means of connecting with your clients, colleagues, and employees. It serves multiple purposes, including appointment reminders, order updates, customer support, and more.

Call Stacking is another valuable feature of a virtual phone system. It allows you to store and organize incoming calls based on their priority and relevancy. You can also assign certain calls to specific departments or staff members for better management. This eliminates the need to search through customer calls, saving time and energy manually; no more busy signals when receiving multiple calls simultaneously. With call stacking, you can stack incoming calls and route them to different phone numbers for swift response times.

Customize welcome, menu, voicemail greetings & more. You can customize your phone system to suit your business’s needs. This feature lets you change the company’s automated greetings for different departments, holidays, or special occasions. This helps create a more professional and personalized experience for incoming callers.

3. Efficient Collaboration with Meetings and Conferencing

Virtual phone systems often include video conferencing capabilities, enabling efficient collaboration among team members and clients. With the ability to host video meetings with up to 100 participants, you can conduct virtual conferences, presentations, and team discussions from anywhere in the world. Video conferencing eliminates the need for travel, saves time, and facilitates remote work arrangements.

Live call transfer ensures that your customers never experience a dropped call, as all calls can be routed to the right person or department quickly and efficiently. Call recording allows you to review calls for quality assurance and customer support.

Create account users & grant special access permissions. Manage multiple account users with different access levels and permissions. You can create roles and assign specific tasks to each user, such as voicemail only or call forwarding only. This feature makes it easier for businesses to manage their virtual phone system efficiently.

Compatible with a wide range of platforms, including MacOS, Windows, Linux, iOS, Android, and browsers, a virtual phone system facilitates effortless call-making and receiving on any device. Whether working from a desktop computer, laptop, tablet, or smartphone, staying connected is a breeze. With cloud-based contact storage, your contacts are accessible from anywhere. Additionally, the user-friendly interface ensures effortless usage and configuration.

4. Simplified Call Handling with Smart Automation

A virtual phone system offers auto attendant or interactive voice response (IVR) menus, which allow you to create customized greetings and menu options for callers. This feature ensures incoming calls are directed to the appropriate department or extension without requiring manual transfer. IVR menus streamline call handling, improve customer experience, and save time for your business and callers.

Virtual phone systems often include the ability to record incoming and outgoing calls. Call recording can be valuable for training, quality assurance, and documentation. Additionally, virtual phone systems provide detailed call history reports and exportable call data, allowing you to analyze call patterns, monitor performance, and make informed business decisions.

Top 4 Advantages A Virtual Phone System Can Provide Your Business – In Summary

By leveraging a virtual phone system, your business can benefit from enhanced professionalism, streamlined call management, efficient collaboration, and intelligent automation. A virtual phone system has various advantageous features that can improve employee and stakeholder communication. This delicate process is smooth and error-free and essential for boosting company productivity.

A virtual phone system assures customers of an efficient listening ear so they feel heard and that their queries or concerns are addressed promptly at all times, thus creating customer satisfaction. Invest in a virtual phone system today to take your business communications to the next level.

Artificial intelligence, machine learning, natural language processing, and other related technologies are paving the way for a smarter “everything.” The integration of advanced technologies with finance provides better accuracy and data consistency across different operations.

Where interpreting raw financial data has become easier NLP, it is also helping us make better predictions and financial decisions. NLP in finance includes semantic analysis, information extraction, and text analysis. As a result, we can automate manual processes, improve risk management, comply with regulations, and maintain data consistency. Going further, we will explore the benefits of natural language processing in finance and its use cases.

How Data Labeling Works in Finance?

Within NLP, data labeling allows machine learning models to isolate finance-related variables in different datasets. Using this training data, machine learning models can optimize data annotation, prediction, and analysis. Machine learning and artificial intelligence models need high-quality data to deliver the required results with higher accuracy and precision.

However, to help these models provide optimized results, NLP labeling is essential. Financial data labeling with NLP is exercised with the following techniques;

1. Named Entity Recognition (NER) helps identify important financial indicators and data from the provided text.

1. Sentiment Analysis helps understand the sentiment behind investment decisions made by customers and investors.
2. Document Categorization includes sorting documents into groups for better classification and organization. The categories can be customized according to the data and requirements.
3. Optical Character Recognition is a classification and organization NLP technique for document classification and digitization.

Using these techniques, we can implement NLP for financial documents for effective data interpretation. Using this data, financial analysts and organizations can make informed decisions.

Use Cases of NLP Data Labeling in Finance

Labeled data is used to train machine learning models, creating a better scope for supervised learning. As we get better data usability with NLP labeling, the number of applications increases.

●     Unstructured Data Processing

We generate tremendous amounts of financial data every day, and the vast majority of this data is unstructured. While analyzing this data is beneficial for the entire industry, doing so is a tedious task.

To get useful information from this data, NLP models are deployed to analyze text and extract useful information. Financial organizations need accurate information to make better decisions for compliance and regulatory evaluation. With NLP, they can also stay updated with the changes in regulations and compliance requirements.

●     Risk Assessment

Another application of NLP in finance is risk assessment, where organizations can determine the risk levels associated with a customer or entity based on their documentation and history. NLP can help declutter the information provided and extract information with NER and document categorization.

Within this, the organizations can also use NLP risk models to automatically rank a customer’s credit profile to deliver a comprehensive analysis.

●     Sentiment Analysis

Financial sentiment analysis is a bit different from regular sentiment analysis, even though both are performed with NLP. In the former, the analysis includes determining the market and customer reaction based on the stock price, market condition, a major event that can impact the markets, stocks, etc.

Financial companies can use the information obtained to make better investment decisions and align their services with the market conditions and sentiment.

●     Fraud Detection

When banks and other financial institutions give out loans, they need to assess every profile for any sort of default risk or fraud. With NLP, organizations can fast-track this process as automated technologies help identify relevant information from a load of documents.

NLP can easily analyze credit history, loan transactions, and income history with the motive to find and flag unusual activity. For this, the NLP techniques used are anomaly detection, sentiment annotation, classification, sequence annotation, and entity annotation.

●     Accounting and Auditing

Financial organizations are also using NLP to make their accounts and auditing efficient. As NLP techniques can be used for documentation and text classification, this is beneficial for documenting reviews, checking procurement agreements, and other types of data.

Within this, the organizations can also detect fraudulent activities and find traces of money laundering. As we employ NLP for financial documents, the techniques used include NER, sentiment analysis, topic modeling, and keyword extraction.

●     Intelligent Document Processing (IDP)

Hidden between the vast amounts of data, NLP can find, identify, and extract relevant documents. As NLP technology and techniques use patterns to discover information, it is useful to process large amounts of unstructured data.

The NLP techniques for this finance task include NER and Optical Character Recognition (OCR).

●     ChatGPT for Finance

The merger of ChatGPT and NLP in finance can provide better risk management and text-based financial analysis. Where GPT models are programmed with artificial intelligence and are meant to make our work productive and fast, ChatGPT can be deployed for in-depth text-based analysis.

In addition to analysis, it can be used for sentiment analysis, NER, and sentiment analysis. If that’s not all, we can also use ChatGPT to generate financial reports create summaries, and forecasts.

Conclusion

Natural language processing (NLP) has started an information extraction and analysis revolution in all industries. The versatility of this technology is also evolving to deliver better solutions and new applications. The usage of NLP in finance is not limited to the applications we have mentioned above. With time, we can use this technology and its techniques for even more complex tasks and operations.

As we expect the NLP technology to grow further and help with speech recognition, better data privacy, spam classification, etc. Shaip is at the forefront of understanding these applications and bringing them to your doorstep. We deliver intelligent NLP services aimed at delivering high-quality results to our clients. Better analysis and implementation will help you have a competitive advantage in the industry.

Author Bio

Vatsal Ghiya is a serial entrepreneur with more than 20 years of experience in healthcare AI software and services. He is the CEO and co-founder of Shaip, which enables the on-demand scaling of our platform, processes, and people for companies with the most demanding machine learning and artificial intelligence initiatives.Linkedin: https://www.linkedin.com/in/vatsal-ghiya-4191855/

Data-Driven, Human-Guided – Humans and machines have coexisted for centuries. These devices, created by and for the people who use them, make it easier to get things done. From the simple wheel to the Industrial Revolution, humans have invented machines to become more efficient. AI is no different. It’s the latest contraption in a long list of inventions to improve the world everyone lives in.

But with AI’s presence quickly advancing, people aren’t quite sure what to make of it. Some are holding off, wary of the long-lasting implications of a robot that has the potential to become conscious. Others are diving in head-first, handing their problems over to AI, hoping it spits out viable solutions. The answer may lie in the middle, as AI is missing the key to well-balanced solutions — human guidance. Below are ways to balance AI’s data and the human perspective.

1. Improve Team Performance

Humans are pretty good at sensing when something’s not going their way. For organizations, those “somethings” can be declining sales, increased turnover, and lowered productivity. The money’s not rolling in, and people aren’t showing up like they should. So, it doesn’t take rocket science to predict the company’s trajectory.

Still, where humans often fall short is figuring out the why behind the what. They may not add two and two together, letting personal biases and agendas guide their conclusions. Arguably, AI can have biases too. However, it’s much better at taking loads of data and identifying relationships. And this includes relationships between undesired performance results, employee behaviors, and existing processes. 

When it comes to performance analytics, algorithms can describe, diagnose, predict, and prescribe. AI will tell you what the problem is while foreshadowing what will happen if nothing changes. Algorithms can also point you toward potential solutions. But it’s up to you to look at the story AI is telling and decide what actions to take. Sales might be down because customers are pulling the plug, but improving retention rates could involve a multi-layered approach.

2. Increase Accuracy

When you go to a doctor’s office, you’re seeking answers for troubling symptoms. You want relief so you can carry on with your life and its daily demands. When you go to an emergency room, the stakes are higher. You’ve got life-threatening symptoms or injuries you need immediate help with.

You’re also trusting a doctor’s expertise and decision-making abilities. Yes, you know they’re human, so they can make mistakes. Yet you don’t automatically think they’ll make an error in your case. Misdiagnoses frequently happen, though. Estimates place the number as high as 7.4 million per year.

Medical errors can lead to inadequate and delayed care, sometimes even permanent injury and death. For the most part, doctors are troubleshooting the symptoms and data they’re given to reach a diagnosis. It’s not a perfect process, but AI can help improve accuracy. AI can quickly analyze data from diagnostic tests, medical histories, and symptoms. It won’t overlook patterns in the information or become influenced by high-stress environments.

3. Boost Creativity

Creative ideas seem to come out of nowhere, but there’s a process involved. Brainstorming is part of it, but creativity takes time and space to put concepts on paper. Putting ideas into motion and to the test is where the real work begins. These stages can become repetitive, taking time away from ideation.

Consider marketing campaigns as an example. There’s a need for fresh ideas with each new promo or product launch. The problem is the team gets busy with designs, social media posts, emails, and videos. It feels like there’s not enough time to come up with something brilliant. So, the team may fall back on recycling old concepts.

What AI can do is help guide the creative process and take over for the more repetitive marketing-related tasks. Topic generators can provide a launchpad for new campaign themes, blog posts, and social media conversation starters. AI programs streamline concept testing and the publishing of posts. The technology can also help create designs and drafts so marketing teams have more time for creating and refining ideas.

4. Prevent Hiring Mistakes

Like doctors, hiring managers don’t follow a perfect process. Many speculate there isn’t much science and logic to hiring. From an outside perspective, hiring managers’ gut instincts and personal preferences appear to rule. There’s a grain of truth there, as humans make snap decisions based on first impressions from resumes and interviews.

Hiring managers must often rely on their instincts from past experiences. Sometimes they prove to be correct, but when they’re not, it can cost an organization. On average, a bad hire ends up costing $15,000. It’s far from chump change, as the consequences may range from lost customers to unfinished tasks.

The use of AI in the recruiting industry gets its fair share of criticism. Some people wonder whether the technology excludes good candidates because they didn’t use the “right” keywords. And HR experts have plenty to say about one-way interviewing software screening responses based on predetermined criteria. Neither 100% human nor computer-based hiring will hit a home run. Combining the two increases efficiency and accuracy by filling the gaps both sides create.

Humanizing Data-Driven Decisions

AI may be the latest invention to make headlines and waves. The technology’s full impact has yet to be realized. In the meantime, questions about how to best leverage its capabilities are being challenged in corporate boardrooms and online forums. While AI is clearly skilled at analyzing and synching data, its ability to completely call the shots is debatable. Like most machines of the past, human guidance is necessary to get the most out of technology’s potential.