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#AIautomation
wordmuse · 1 year
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This image was created by AI from my prompt: "mystic landscape in cyberpunk city." I suppose that the "mystic" is from the hazy glows that sort of wash out the other parts of the photos. You can create your own images (currently for free) at https://stablefusionweb.com
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profresh16 · 2 days
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Looking for a Reliable Provider of Custom AI Software Development Services?
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Looking for a Reliable Provider of Custom AI Software Development Services? https://bit.ly/3s4n7jQ
We specialize in delivering custom AI solutions that cater to your specific requirements, ensuring optimal performance and innovation. Kickstart your project and leverage our expertise in developing AI solutions from scratch.
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webomates · 18 days
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What is Automated Regression Testing? & Best Practices
What is Automated Regression Testing?
Automated regression testing is a software testing process. It repeats previously developed test cases to ensure that recent changes in test cases or enhancements to the software have not negatively affected its existing functionality and efficiency.
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In other words, there is always a risk of damage to existing features when new code is added or changes which are made to a software application. Regression testing helps to tackle this risk by systematically retesting the software parts.
Automation in regression testing means using automated test tools or scripts to run test cases instead of manually. This process increases productivity and accuracy. As it allows repeated testing without the need for manual interference. Automated regression testing is particularly useful in projects that require frequent updates or ongoing integration/deployment processes. In this manual testing alone may not be the best option due to time consumption and the number of tests required in regression testing.
Why choose automatic regression testing?
Regression testing is one of the important ways to ensure that recent changes to your software have not negatively impacted existing services and software performance but manual regression testing can be time-consuming, error-prone, and costly. While automation testing can significantly reduce testing time and testing costs. Moreover, it will improve the efficiency and accuracy of the test.
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Best practices for automating regression tests
Comprehensive Test Coverage: During the software testing process, you should prioritize the basic functionality and features of regression testing. It will greatly improve your independent testing and help you focus on the areas of greatest impact.
Modular Test Design: You should divide your test case into smaller reusable modules. This modular approach can increase the maintainability and scalability of the trial and facilitate efficient trial design and execution.
Version Control Integration: Regression testing should be integrated into version control systems such as Webomates to facilitate integration with test management. This will ensure that your test is always up to date with the latest regulatory changes.
Continuous Integration (CI) Pipeline: Add regression testing to your CI pipeline to identify problems early in the development lifecycle of software. It integrates easily with popular CI/CD tools and enables automatic testing as part of your workflow.
Regularly maintain testing: Update and maintain your automated test case regularly to keep up with changes to the application that is tested. A good interface simplifies testing and maintenance tasks. It will ensure that your testing remains robust and reliable over time.
Automated Visual Regression Testing
Visual regression testing is essential to detect visual changes during software updates. It offers advanced testing capabilities. Also, it will allow you to compare visuals of your application across different platforms and applications. With pixel-perfect accuracy and a stable comparison system, you can detect optical anomalies with accuracy and reliability.
Unlock the Power of Automation with Webomates
Whether you are a software developer, tester, or quality assurance professional, with Webomates you can empower your testing efforts and you can confidently deliver superior software. With our comprehensive automation solutions and best practices for regression testing, you can speed up release cycles, and reduce errors. For more information click here Automated regression testing
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diginyze · 1 month
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Speed and Sustainability: Navigating the Future of Online Shopping with Q-Commerce and Recommerce
The future of shopping is here and it's faster and greener than ever! Check out our new blog post and see how Diginyze is at the forefront of this exciting evolution.
From lightning-fast deliveries to eco-friendly shopping habits, we're redefining what it means to shop online.
visit: https://www.diginyze.com/blog/speed-and-sustainability-navigating-the-future-of-online-shopping-with-qcommerce-and-recommerce/
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clevertalelover · 2 months
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AI Side Hustle Review 2024 – (Joshua Zamora)
Hi readers, welcome to my new blog post AI Side Hustle Review. If you lack experience but desire to begin earning money online, this blog is tailored for you. This AI Side Hustle offers a comprehensive, step-by-step guide to help you get started.
Welcome to the future of earning, where Artificial Intelligence (AI) is not just a buzzword but the cornerstone of your next lucrative side hustle.
The advent of AI technology has brought with it an unprecedented opportunity for those ready to embrace the new digital frontier.
Read the full review here>>>
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rtc-tek · 4 months
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Our AI-based test automation is set to revolutionize the testing processes. By utilizing self-healing test cases and simplified creation methods, alongside intelligent task prioritization, our system elevates efficiency. Moreover, our advanced results analysis and comprehensive reporting ensure unparalleled insights. Learn more about our services at https://rtctek.com/automation-testing-services. Contact our experts at https://rtctek.com/contact-us/ now!
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artificicyai · 4 months
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Easily Create Stunning Videos with FlexClip Video Maker - "flexclip"
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amyrasheldon · 5 months
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Enhancing Software QA & Testing Services with AI-Powered Automation
Revolutionize software QA & testing with AI-powered automation! Discover how cutting-edge technology elevates precision, efficiency, and speed in our latest blog. Unleash the power of AI!
Source: https://ankitakapoor23.medium.com/enhancing-software-qa-testing-services-with-ai-powered-automation-ba3fc6e12dfb
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avisys · 5 months
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Stat Of The Day: Telcos using AI have seen a 40% jump in efficiency and a 30% reduction in operational costs.
Ready to join the revolution? Read our blog to find out how: https://www.avisysservices.com/blog/the-ai-effect-how-telcos-are-winning-with-oss-bss-intelligence/
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profresh16 · 2 days
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techlaunchreviews · 7 months
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🚀 Exciting News! 🚀
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🤖 Unlock the power of AI to automate your channel, create engaging content effortlessly, and earn passive income. Say goodbye to on-camera stress! 📹
Join us on this exciting journey to YouTube success. Get started now and be part of the AI revolution! 💰📈 Visit: https://techlaunchreviews.com/
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jinactusconsulting · 7 months
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Can you describe the process of implementing Enate and how long it typically takes to see results in operations improvement?
The process of implementing Enate and the timeline for realizing operational improvements can vary based on factors such as the complexity of your organization's processes, the scope of automation, and the readiness of your team. Here's a general overview of the steps involved in implementing Enate and a rough estimate of the time it might take to see results:
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1. Discovery and Assessment (2-4 weeks):
Understand your existing processes: Begin by thoroughly assessing your current business processes and identifying areas that can benefit from automation and orchestration.
Define objectives: Set clear goals and objectives for the Enate implementation, including specific KPIs you want to improve.
2. Process Design and Workflow Modeling (4-8 weeks):
Design workflows: Work with Enate's team or consultants to design and model the workflows you want to automate and optimize. Customize these workflows to meet your organization's unique needs.
Integration planning: Determine how Enate will integrate with your existing systems and applications, if necessary.
3. Customization and Configuration (6-12 weeks):
Customize workflows: Customize the Enate platform to align with your organization's specific requirements. This may involve configuring rules, notifications, and user roles.
Data integration: Set up integrations with your existing systems to ensure seamless data exchange.
4. Testing and Quality Assurance (4-8 weeks):
Conduct testing: Thoroughly test the automated workflows to identify and address any issues or bugs.
User acceptance testing (UAT): Involve end-users in UAT to ensure the system meets their needs and expectations.
5. Training and Onboarding (2-4 weeks):
Train employees: Provide training to process owners, administrators, and end-users who will interact with the Enate platform.
Onboard users: Familiarize your team with the new automated processes and ensure they understand how to use the platform effectively.
6. Deployment (2-4 weeks):
Roll out Enate: Deploy the Enate solution to the relevant teams or departments in your organization.
7. Monitoring and Optimization (Ongoing):
Monitor performance: Begin monitoring the performance of the automated processes using Enate's real-time tracking and reporting features.
Measure results: Continuously measure KPIs and compare them to predefined objectives to assess the impact of the implementation.
Iterate and optimize: Based on data and feedback, refine and optimize the automated processes to improve efficiency further.
The timeline for realizing significant operational improvements can vary widely. Some organizations may start to see immediate benefits in terms of reduced manual work, improved accuracy, and increased efficiency as soon as the automated workflows are deployed. However, it may take several months to a year to achieve the full extent of the impact as the system matures and becomes fully integrated into daily operations.
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To get a more accurate estimate of the implementation timeline and expected results, it's essential to work closely with Enate's implementation and support teams. They can provide guidance, best practices, and insights based on your organization's specific needs and objectives. Regularly tracking and evaluating KPIs will also help you gauge the progress and effectiveness of your Enate implementation.
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artsandai · 9 months
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In this engaging discussion, I sit down with Surya, the owner of an AI automation agency, to delve into the exciting world of starting an agency and the most recent advancements in AI technology. From the opportunities and challenges to the cutting-edge projects led by her team, our conversation covers a diverse range of topics that both enthusiasts and professionals will find enlightening. I hope you find our talk stimulating and informative.
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osintelligence · 1 year
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https://bit.ly/3LWzVPj - 🤖 The Air Force Research Laboratory (AFRL), in collaboration with The Ohio State University (OSU) and industry partners CapSen Robotics and Yaskawa Motoman, has successfully demonstrated an AI-driven autonomous robotic system, AI-FORGE, designed to enhance the manufacturing capabilities of the Department of the Air Force (DAF). The system is primed to bring transformative changes to metamorphic manufacturing or robotic blacksmithing. #AFRL #AI #ManufacturingInnovation #RoboticBlacksmithing ✈️ AI-FORGE employs incremental forming, a heat-assisted metalworking process, enabling the manufacture of small batches of custom parts for military aircraft. Its AI capabilities allow it to make crucial forming decisions independently, thus optimizing cost and time, and enhancing the ability to replace hard-to-find aircraft structural parts. #AerospaceEngineering #AIinManufacturing 💰 The project received $500,000 in funding from the Advanced Robotics for Manufacturing (ARM) Institute and $150,000 in post-doctoral research support from AFRL’s Materials and Manufacturing Directorate. It also included contributions from CapSen Robotics and Yaskawa Motoman, who provided key software and hardware components respectively. #Funding #ResearchSupport 🔬 The system underwent rigorous testing at the Warner-Robins Air Logistics Complex (WR-ALC) under challenging conditions, operating autonomously for approximately six hours without human intervention. The demonstration confirmed the system's potential to operate effectively in a depot environment. #AIinAction #FieldTest ⚙️ AI-FORGE’s operation is akin to a human metalworker using heat and pressure to forge replacement parts. The AI in this context helps automate specific portions of the forging process, from positioning and deforming a part to create desired formations. #AIAutomation #Metallurgy 🔧 The project’s next phase aims to develop a more advanced system that allows users to control the inner microstructure of the parts, especially those initially manufactured additively. This local control could transform tech development, enabling new designs and innovative material usage. #MaterialScience #FutureofManufacturing 👨‍⚕️ Looking ahead, the application of this technology could extend beyond aerospace. Artificially intelligent incremental forming methods could be used in the creation of personalized medical devices, such as metal implants, offering improvements in accuracy and customization. #AIinMedicine #HealthTech 🤝 The project stands as a testament to successful partnerships between AFRL, academia, industry, the ARM Institute, and the depot, highlighting the potential of collaborative efforts in bringing transformative changes in technology. #Partnerships #Collaboration 🚀 AFRL remains committed to supporting the warfighter, adapting to changes, and continually advancing its mission through innovative technologies like AI-FORGE.
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🚀🤑 Unleash AI-Powered 10K Commission Bots! NO Experience Needed! 💯🔥 #Aff...
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