AI-powered automation testing services offers unparalleled benefits in terms of speed, accuracy, and efficiency, revolutionizing the way software testing is conducted. By harnessing the power of AI algorithms, organizations can ensure the quality and reliability of their software products while accelerating time-to-market and reducing costs. For more visit: https://www.tftus.com/automation-testing
The current growth of AI and ML augments tester’s intellect by allowing them to swiftly access a variety of data and make better-informed decisions, as well as assist them in optimizing test techniques, selecting increased automation, and more.
Read more: https://www.cigniti.com/blog/ai-autonomous-testing/
In this PDF, we explore the importance of automation testing services in the fast-paced and constantly evolving digital landscape. We discuss the benefits of automation testing, such as increased efficiency and reliability, and how it can help businesses stay ahead of their competition. Are you looking to hire anyone connect with leading Testrig Technologies, leading Automation testing company in USA
How Would Software Testing Change in the Future.docx.docxSun Technologies
Automation and AI-based approaches are often used in non-functional testing to identify and prioritize application components that may be more vulnerable to performance or security concerns.
Continuous Testing Is Key for Enterprises to Adopt AI PlatformsCognizant
While the introduction of AI-as-a-Service is a paradigm shift that makes AI adoption easier for enterprises, AI assurance is even harder in the SaaS model. Establishing a continuous testing ecosystem helps deploy both rapid upgrades to the AI platform and continuous changes to enterprise IT assets. Here is a practitioner’s view of design considerations for establishing such an ecosystem for AI-as-a-Service adoption.
Now-a-days the world of testing has shifted towards a Continuous Testing model. With increasing digital transformation, Agile & DevOps principles, the need to scale up quality initiatives becomes inevitable. Moreover, with increasing complexity and continuous integration cycles, the frequency of tests to release apps in a shorter time frame with continuous testing becomes the need of the hour to match the speed of Agile & DevOps.
Fast feedback loops and immediate responses allow businesses to adapt to changes in the market quicker than ever before. This is made possible with automation and continuous testing. But how do you achieve continuous testing?
In this, our specialist Sushma Nayak will discuss the present-day best practices in test automation at Knoldus and will examine the key testing trends that focus on the adoption of Continuous Delivery and the evolution of test automation in the coming year.
watch the video of this session on our website: https://www.knoldus.com/learn/webinars
New technologies are being brought to the world every day, leading to new testing approaches. Here are a few software testing trends that will rise in 2019.
The Future of Automation Testing Emerging Trends and TechnologiesAlpha BOLD
In today's rapidly evolving technological landscape, software development, and testing have become increasingly crucial for organizations across various industries. Automation testing, a process that uses software tools and scripts to execute test cases, has gained significant
popularity due to its ability to enhance efficiency, accuracy, and scalability in testing procedures. As we venture into the future, automation testing is poised to undergo remarkable
transformations.
AI-powered automation testing services offers unparalleled benefits in terms of speed, accuracy, and efficiency, revolutionizing the way software testing is conducted. By harnessing the power of AI algorithms, organizations can ensure the quality and reliability of their software products while accelerating time-to-market and reducing costs. For more visit: https://www.tftus.com/automation-testing
The current growth of AI and ML augments tester’s intellect by allowing them to swiftly access a variety of data and make better-informed decisions, as well as assist them in optimizing test techniques, selecting increased automation, and more.
Read more: https://www.cigniti.com/blog/ai-autonomous-testing/
In this PDF, we explore the importance of automation testing services in the fast-paced and constantly evolving digital landscape. We discuss the benefits of automation testing, such as increased efficiency and reliability, and how it can help businesses stay ahead of their competition. Are you looking to hire anyone connect with leading Testrig Technologies, leading Automation testing company in USA
How Would Software Testing Change in the Future.docx.docxSun Technologies
Automation and AI-based approaches are often used in non-functional testing to identify and prioritize application components that may be more vulnerable to performance or security concerns.
Continuous Testing Is Key for Enterprises to Adopt AI PlatformsCognizant
While the introduction of AI-as-a-Service is a paradigm shift that makes AI adoption easier for enterprises, AI assurance is even harder in the SaaS model. Establishing a continuous testing ecosystem helps deploy both rapid upgrades to the AI platform and continuous changes to enterprise IT assets. Here is a practitioner’s view of design considerations for establishing such an ecosystem for AI-as-a-Service adoption.
Now-a-days the world of testing has shifted towards a Continuous Testing model. With increasing digital transformation, Agile & DevOps principles, the need to scale up quality initiatives becomes inevitable. Moreover, with increasing complexity and continuous integration cycles, the frequency of tests to release apps in a shorter time frame with continuous testing becomes the need of the hour to match the speed of Agile & DevOps.
Fast feedback loops and immediate responses allow businesses to adapt to changes in the market quicker than ever before. This is made possible with automation and continuous testing. But how do you achieve continuous testing?
In this, our specialist Sushma Nayak will discuss the present-day best practices in test automation at Knoldus and will examine the key testing trends that focus on the adoption of Continuous Delivery and the evolution of test automation in the coming year.
watch the video of this session on our website: https://www.knoldus.com/learn/webinars
New technologies are being brought to the world every day, leading to new testing approaches. Here are a few software testing trends that will rise in 2019.
The Future of Automation Testing Emerging Trends and TechnologiesAlpha BOLD
In today's rapidly evolving technological landscape, software development, and testing have become increasingly crucial for organizations across various industries. Automation testing, a process that uses software tools and scripts to execute test cases, has gained significant
popularity due to its ability to enhance efficiency, accuracy, and scalability in testing procedures. As we venture into the future, automation testing is poised to undergo remarkable
transformations.
Future of Software Testing and What are the Trends to follow in 2023.pdfAnanthReddy38
The Future of Software Testing: Embracing Emerging Trends
As technology continues to evolve at an unprecedented pace, the software testing landscape is also undergoing significant transformations. In an era characterized by the rise of artificial intelligence (AI), automation, and DevOps, software testing is no longer a standalone process but an integrated and dynamic part of the software development life cycle. In this article, we will explore the future of software testing and highlight some key trends to watch out for.
Shift-Left and Shift-Right Testing
The traditional approach of testing at the end of the development cycle is giving way to early and continuous testing practices. Shift-left testing involves starting the testing process as early as possible in the software development life cycle, ensuring defects are identified and fixed at the earliest stages. On the other hand, shift-right testing focuses on gathering real-time user feedback and monitoring production environments to proactively address issues. The combination of both approaches ensures a more comprehensive and proactive testing strategy.
Test Automation and AI
Automation has been a game-changer in software testing, enabling faster test execution, increased test coverage, and improved efficiency. However, the future lies in leveraging AI and machine learning (ML) techniques to enhance test automation further. AI-powered testing tools can intelligently generate test cases, detect anomalies, and even self-heal test scripts. ML algorithms can analyze large volumes of test data to identify patterns, predict potential defects, and optimize test coverage. The integration of AI and automation streamlines the testing process and enhances overall quality.
Continuous Testing and DevOps
DevOps practices have revolutionized software development by fostering collaboration, agility, and faster release cycles. Continuous integration and continuous delivery (CI/CD) pipelines have become the norm, necessitating the adoption of continuous testing. Continuous testing ensures that every change introduced into the software is thoroughly tested, guaranteeing that the overall quality remains intact. Test environments are provisioned dynamically, and test suites are executed automatically as part of the CI/CD pipeline. The collaboration between developers, testers, and operations teams is essential for successful continuous testing implementation.
Test Data Management
Test data is a critical component of software testing, but managing test data effectively can be a challenge. The future of software testing involves innovative approaches to test data management. Synthetic test data generation techniques can create realistic data sets, ensuring privacy and compliance. Data virtualization allows testers to access and manipulate data without the need for physical copies. Additionally, data masking and anonymization techniques help protect sensitive information during testing.
Today, the usage of codeless tools has drastically increased and gained immense popularity in the software industry across the globe. It is capable of addressing many challenges within the process of automation. Right at its core, the no-code revolution relies upon AI technology, which enables and facilitates innovation. In addition, the no-code platforms unlock a completely new level of efficiency, quality, and profitability.
From Continuous to Autonomous Testing with AICognizant
Continuous testing, or DevOps embedded with QA, helps organizations keep pace with market dynamics. Artificial intelligence can augment testing to be autonomous and zero touch.
Benefits of implementing CI & CD for Machine LearningCiente
Implementing CI & CD in Machine Learning is a strategic move toward optimizing development workflows, enhancing collaboration, and accelerating the deployment of robust and reliable ML models
The Future of Quality Assurance Emerging Trends and Predictions.pdfjackthomasjt1997
Quality Assurance (QA) has long been a cornerstone of software development and product manufacturing processes. However, in an era characterized by rapid technological advancements and changing customer expectations, the future of quality assurance is evolving to meet new challenges. Emerging trends and predictions offer a glimpse into what lies ahead for quality assurance services.
Software that just works, for a global tax and accounting provider.Mindtree Ltd.
Enterprises realize the critical importance of efficient and effective test automation. Though automation is an efficient and reliable way of testing, it requires significant time and investment to reap the benefits.
Here is a story on how Mindtree built a meaningful test automation solution, that is simple to use and comprehensive in coverage.
The realm of software testing is undergoing swift evolution, witnessing a substantial shift from traditional manual practices to automation in recent years.
Read this Article here: https://medium.com/@cienteteam/autonomous-testing-tools-a922d6430eb6
Learn more: https://ciente.io/blog/
Follow for more such Articles: https://ciente.io/
Infographic: Top 7 Mobile App Testing Trends 2022KiwiQA
Want to test your mobile app? Check out top 7 trends for mobile app testing you should not miss.
To learn more about mobile app testing, visit: https://www.kiwiqa.com/mobile-testing.html
Performing testing according to different technologies is vital for software applications, especially if you want to boost customer satisfaction, inspire client’s confidence, prevent catastrophic corporate emergencies, maintain excellent user experience, promote organizational efficiency and productivity. What software testing trends can you expect to be popular in 2021? Check out the PPT to know.
There’s been a significant evolution in the field of software testing in recent years, with many new software testing trends entering the sector. The advancements in software design, development, testing, test data automation, and application delivery have been made possible by cutting-edge technologies. The majority of IT leaders support integrating the most recent IT methodologies into their company's operations.
Quality Engineering Best Practices Balancing Speed, Quality, and Precision fo...pcloudy2
In today’s business world, where customers are at the centre, people expect high-quality mobile and web applications. Users want their apps to work smoothly, be easy to use, and have quick response time. To keep up with these expectations, companies need to adopt strong quality engineering practices that maintain a balance between speed, quality, and precision.
Everything you didn’t know (and should) about User Acceptance Testingpanayaofficial
From planning to scoping to execution: optimize your IT- Business User collaboration for a comprehensive, seamless Testing process.
Get expert tips based on real customer use cases for your ERP & Enterprise UATs (e.g. SAP, Oracle, Salesforce, ServiceNow, WorkDay).
Learn how to:
- Easily engage non-technical, business users with differentiating ease of use and powerful testing accelerators.
- Improve visibility and control over the entire UAT testing cycles via real-time, actionable insights.
- Automate test documentation for high-quality evidence and compliance
- Manage smart defect management with closed-loop workflows
- Know exactly what to (not) test and eliminate risk, using AI powered Change Analysis
- Reduce testing time & costs
Cigniti Technologies is an Independent Software Testing Services Company, headquartered
in Irving, TX. Our test offerings include TCoE, Testing on Cloud, Enterprise Mobility
Testing, Big Data Testing, Functional, Automation, Security and Performance Testing
services. Our workforce is equally distributed between NA & India with a vision to be your
local partner. Cigniti's SMART Tools and Cloud Enabled test labs provide cost effective
solutions with early Return on Investments.
ACOMPREHENSIVE GUIDE TO TESTING AI APPLICATION METRICSijscai
This study examines key metrics for assessing the performance of AI applications. With AI rapidly
expanding across industries, these metrics ensure systems are reliable, efficient, and effective. The paper
analyzes measures like Return on Investment, Customer Satisfaction, Business Process Efficiency,
Accuracy and Predictability, and Risk Mitigation. These metrics collectively provide valuable insights into
an AI application's quality and reliability.
Is Codeless Automation Testing Revolutionizing the Testing Industry.pdfMindfire LLC
Codeless automation testing has been an industry buzzword for a while, and with good reason. It is quickly becoming an indispensable tool in test automation. Automation testing validates software’s proper functioning and features before launching it into production. Automation testing uses scripted sequences executed by various testing tools. It helps reduce human errors in application testing, simplifies the testing process into a set of scripts, ensures faster checking of the system, and runs multiple tests a day.
QARA Test brochure: Rapid Test Automation with Zero Coding and Manual Test Ca...The Digital Group
QARA Test is an integrated platform that supports declarative, zero coding functional test automation design, management, planning, and execution along with built-in reporting capabilities.
How AI Can Be Leveraged In All Aspects Of TestingAlisha Henderson
QA has become an essential practice for businesses that are in the digital space. To achieve digital transformation businesses should embrace the latest technologies in their software development process and build a strong data engineering foundation to fuel innovation.
Scenarios in Which Kubernetes is Used for Container Orchestration of a Web Ap...Sun Technologies
Kubernetes is commonly used for container orchestration of web applications in various scenarios where scalability, reliability, and efficient management of containerized workloads are required. Here are some scenarios where Kubernetes is used for container orchestration of web applications:
More Related Content
Similar to The next shift! decoding the modern test automation innovation in 2022
Future of Software Testing and What are the Trends to follow in 2023.pdfAnanthReddy38
The Future of Software Testing: Embracing Emerging Trends
As technology continues to evolve at an unprecedented pace, the software testing landscape is also undergoing significant transformations. In an era characterized by the rise of artificial intelligence (AI), automation, and DevOps, software testing is no longer a standalone process but an integrated and dynamic part of the software development life cycle. In this article, we will explore the future of software testing and highlight some key trends to watch out for.
Shift-Left and Shift-Right Testing
The traditional approach of testing at the end of the development cycle is giving way to early and continuous testing practices. Shift-left testing involves starting the testing process as early as possible in the software development life cycle, ensuring defects are identified and fixed at the earliest stages. On the other hand, shift-right testing focuses on gathering real-time user feedback and monitoring production environments to proactively address issues. The combination of both approaches ensures a more comprehensive and proactive testing strategy.
Test Automation and AI
Automation has been a game-changer in software testing, enabling faster test execution, increased test coverage, and improved efficiency. However, the future lies in leveraging AI and machine learning (ML) techniques to enhance test automation further. AI-powered testing tools can intelligently generate test cases, detect anomalies, and even self-heal test scripts. ML algorithms can analyze large volumes of test data to identify patterns, predict potential defects, and optimize test coverage. The integration of AI and automation streamlines the testing process and enhances overall quality.
Continuous Testing and DevOps
DevOps practices have revolutionized software development by fostering collaboration, agility, and faster release cycles. Continuous integration and continuous delivery (CI/CD) pipelines have become the norm, necessitating the adoption of continuous testing. Continuous testing ensures that every change introduced into the software is thoroughly tested, guaranteeing that the overall quality remains intact. Test environments are provisioned dynamically, and test suites are executed automatically as part of the CI/CD pipeline. The collaboration between developers, testers, and operations teams is essential for successful continuous testing implementation.
Test Data Management
Test data is a critical component of software testing, but managing test data effectively can be a challenge. The future of software testing involves innovative approaches to test data management. Synthetic test data generation techniques can create realistic data sets, ensuring privacy and compliance. Data virtualization allows testers to access and manipulate data without the need for physical copies. Additionally, data masking and anonymization techniques help protect sensitive information during testing.
Today, the usage of codeless tools has drastically increased and gained immense popularity in the software industry across the globe. It is capable of addressing many challenges within the process of automation. Right at its core, the no-code revolution relies upon AI technology, which enables and facilitates innovation. In addition, the no-code platforms unlock a completely new level of efficiency, quality, and profitability.
From Continuous to Autonomous Testing with AICognizant
Continuous testing, or DevOps embedded with QA, helps organizations keep pace with market dynamics. Artificial intelligence can augment testing to be autonomous and zero touch.
Benefits of implementing CI & CD for Machine LearningCiente
Implementing CI & CD in Machine Learning is a strategic move toward optimizing development workflows, enhancing collaboration, and accelerating the deployment of robust and reliable ML models
The Future of Quality Assurance Emerging Trends and Predictions.pdfjackthomasjt1997
Quality Assurance (QA) has long been a cornerstone of software development and product manufacturing processes. However, in an era characterized by rapid technological advancements and changing customer expectations, the future of quality assurance is evolving to meet new challenges. Emerging trends and predictions offer a glimpse into what lies ahead for quality assurance services.
Software that just works, for a global tax and accounting provider.Mindtree Ltd.
Enterprises realize the critical importance of efficient and effective test automation. Though automation is an efficient and reliable way of testing, it requires significant time and investment to reap the benefits.
Here is a story on how Mindtree built a meaningful test automation solution, that is simple to use and comprehensive in coverage.
The realm of software testing is undergoing swift evolution, witnessing a substantial shift from traditional manual practices to automation in recent years.
Read this Article here: https://medium.com/@cienteteam/autonomous-testing-tools-a922d6430eb6
Learn more: https://ciente.io/blog/
Follow for more such Articles: https://ciente.io/
Infographic: Top 7 Mobile App Testing Trends 2022KiwiQA
Want to test your mobile app? Check out top 7 trends for mobile app testing you should not miss.
To learn more about mobile app testing, visit: https://www.kiwiqa.com/mobile-testing.html
Performing testing according to different technologies is vital for software applications, especially if you want to boost customer satisfaction, inspire client’s confidence, prevent catastrophic corporate emergencies, maintain excellent user experience, promote organizational efficiency and productivity. What software testing trends can you expect to be popular in 2021? Check out the PPT to know.
There’s been a significant evolution in the field of software testing in recent years, with many new software testing trends entering the sector. The advancements in software design, development, testing, test data automation, and application delivery have been made possible by cutting-edge technologies. The majority of IT leaders support integrating the most recent IT methodologies into their company's operations.
Quality Engineering Best Practices Balancing Speed, Quality, and Precision fo...pcloudy2
In today’s business world, where customers are at the centre, people expect high-quality mobile and web applications. Users want their apps to work smoothly, be easy to use, and have quick response time. To keep up with these expectations, companies need to adopt strong quality engineering practices that maintain a balance between speed, quality, and precision.
Everything you didn’t know (and should) about User Acceptance Testingpanayaofficial
From planning to scoping to execution: optimize your IT- Business User collaboration for a comprehensive, seamless Testing process.
Get expert tips based on real customer use cases for your ERP & Enterprise UATs (e.g. SAP, Oracle, Salesforce, ServiceNow, WorkDay).
Learn how to:
- Easily engage non-technical, business users with differentiating ease of use and powerful testing accelerators.
- Improve visibility and control over the entire UAT testing cycles via real-time, actionable insights.
- Automate test documentation for high-quality evidence and compliance
- Manage smart defect management with closed-loop workflows
- Know exactly what to (not) test and eliminate risk, using AI powered Change Analysis
- Reduce testing time & costs
Cigniti Technologies is an Independent Software Testing Services Company, headquartered
in Irving, TX. Our test offerings include TCoE, Testing on Cloud, Enterprise Mobility
Testing, Big Data Testing, Functional, Automation, Security and Performance Testing
services. Our workforce is equally distributed between NA & India with a vision to be your
local partner. Cigniti's SMART Tools and Cloud Enabled test labs provide cost effective
solutions with early Return on Investments.
ACOMPREHENSIVE GUIDE TO TESTING AI APPLICATION METRICSijscai
This study examines key metrics for assessing the performance of AI applications. With AI rapidly
expanding across industries, these metrics ensure systems are reliable, efficient, and effective. The paper
analyzes measures like Return on Investment, Customer Satisfaction, Business Process Efficiency,
Accuracy and Predictability, and Risk Mitigation. These metrics collectively provide valuable insights into
an AI application's quality and reliability.
Is Codeless Automation Testing Revolutionizing the Testing Industry.pdfMindfire LLC
Codeless automation testing has been an industry buzzword for a while, and with good reason. It is quickly becoming an indispensable tool in test automation. Automation testing validates software’s proper functioning and features before launching it into production. Automation testing uses scripted sequences executed by various testing tools. It helps reduce human errors in application testing, simplifies the testing process into a set of scripts, ensures faster checking of the system, and runs multiple tests a day.
QARA Test brochure: Rapid Test Automation with Zero Coding and Manual Test Ca...The Digital Group
QARA Test is an integrated platform that supports declarative, zero coding functional test automation design, management, planning, and execution along with built-in reporting capabilities.
How AI Can Be Leveraged In All Aspects Of TestingAlisha Henderson
QA has become an essential practice for businesses that are in the digital space. To achieve digital transformation businesses should embrace the latest technologies in their software development process and build a strong data engineering foundation to fuel innovation.
Similar to The next shift! decoding the modern test automation innovation in 2022 (20)
Scenarios in Which Kubernetes is Used for Container Orchestration of a Web Ap...Sun Technologies
Kubernetes is commonly used for container orchestration of web applications in various scenarios where scalability, reliability, and efficient management of containerized workloads are required. Here are some scenarios where Kubernetes is used for container orchestration of web applications:
Why You Need Data Engineers to Enable Efficient Analytics and Maintaining Ana...Sun Technologies
Explore Use Cases Involving Data Engineering Skills Required by DevOps.
Learn how Data Engineers are powering DevOps Teams to integrate advanced analytics using Legacy Infrastructure.
Discover a No-Code route to automation that ensures your goods and services are delivered faster; your invoices paid sooner;
and your employees spend less time on mundane, error-prone tasks.
Monolithic Architecture: A Closer Look at the Benefits and DrawbacksSun Technologies
A monolith architecture is a software application approach in which a single unit is constructed that is independent of other applications. The phrase "monolith" is commonly used to denote anything large and sluggish, which is similar to a monolith architecture in software design. A monolith is a huge computer network with a single code base that contains all business needs. To make a change in this sort of application, you must update the entire stack by accessing the code base and building and deploying an updated version of your service-side interface, which is cumbersome and time-consuming. Monoliths are important in the early stages of a project because they simplify code management, reduce cognitive overhead, and allow for quick deployment. Everything in the monolith can be released at once.
Maximizing Efficiency with Contract AI and O2C AutomationSun Technologies
Contract AI refers to using machine learning and artificial intelligence (AI) technologies to streamline and optimize the management of contracts throughout their lifecycle. It involves the application of AI algorithms to analyze, extract, and interpret data from contracts, automate contract-related processes, and improve contract risk management and compliance. Contract AI aims to enhance efficiency, reduce manual labor, mitigate risks, and facilitate better decision-making in managing legal agreements and contracts within organizations.
Data lakes are central repositories that store large volumes of structured, unstructured, and semi-structured data. They are ideal for machine learning use cases and support SQL-based access and programmatic distributed data processing frameworks. Data lakes can store data in the same format as its source systems or transform it before storing it. They support native streaming and are best suited for storing raw data without an intended use case. Data quality and governance practices are crucial to avoid a data swamp. Data lakes enable end-users to leverage insights for improved business performance and enable advanced analytics.
RPA and API Partnership at the heart of hyperautomation.pdfSun Technologies
Robotic Process Automation involves using software robots or "bots" to automate repetitive, rule-based tasks typically performed by humans. RPA bots interact with user interfaces, mimic human actions, and execute tasks across various applications and systems. However, RPA alone is limited to specific applications or systems, and it requires a bridge to connect with external systems and leverage data from multiple sources. This is where APIs come into play.
Digital Transformation Roadmap: Transforming Your Business to the Digital EraSun Technologies
The digital era has altered the corporate environment, and organizations must adapt to remain relevant and competitive. Digital technologies continuously evolve, and businesses are digitizing their consumer experiences, business models, and operations. As a result, companies must embrace digital transformation, develop a digital strategy, invest in technology, have a robust online presence, implement agile practices, and prioritize the customer experience to remain competitive.
In 2023, AI will turbocharge your tactics for digital transformation.Sun Technologies
Artificial intelligence is a formidable technology that can help you accelerate your digital transformation.
Businesses are becoming increasingly data-driven due to digitalization, which enables smooth access to everything. This has enabled businesses to use cutting-edge technologies to make better decisions.
Along with the trends, 5g became a potential weapon to change the standards across all industries. Initially, mobile network communication providers are facing enormous challenges and complexities like logs of data analysis, security, mundane repetitive tasks, etc
Agile methodology for successful digital transformation.docxSun Technologies
Approach to dealing with difficulties, software development, and project management help teams deliver quality services to their customers faster with minor faults. It is a framework for the software development process that lies under concepts of scrums, springs, high programming.
5G network is surging the growth of IOT for building up new applications and business execution models. Implementation of the latest techniques, IOT, requires new performance standards such as security, great connectivity, low latency, ultra-authentic, the extent of wireless communication, etc., to boost cellular operations.
How AIOps (Artificial Intelligence in IT Operations) help in improving IT ope...Sun Technologies
AIOps is the future scope of innovation, designed with multi-layered technology to enhance IT operations using Big data analytics and Machine learning. Integration of Machine learning and Big data on AIOps process to successful IT operational tasks.
Big data + Machine learning = Successful IT Operations
AIOps hold Big data by gathering heterogeneous data from various IT operational app devices to encounter issues in real-time scenarios that automatically produce accurate outcomes with
Artificial Intelligence and Data Analysis, which drives robust enhancements for organizations.
Our managed NOC services offer a unified management platform for IT Infrastructure Management, Network Provisioning, IT Monitoring, IT Service Desk, and IT Problem Management. Our dedicated network operation center facility offers a comprehensive variety of service assurance and service fulfillment services. We adhere to a well-defined NOC monitoring service organization structure to assure complete operational and fault-free managed services.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
2. Scriptless test automation
enables organizations to
manage the increased
density of data.
Top trends that drive test
automation evolution
Scriptless & Robust
AI-powered monitoring
& integration
Self-healing DevOps process
AI-powered tools identify
bugs, help diagnose the
occurrences, and make
efficient decisions.
AI enables a more significant
focus on innovation and
enhanced accuracy of self-
healing automation.
DevOps enables seamless
collaboration between
developers, testers, clients,
and end-users to deliver
consistent business value.
www.suntechnologies.com
3. How AI & ML capabilities can minimize
the testing efforts and enhance test
coverage
Build more reliable test cases
Self-Healing for Test Automation
Enhance test stability
Auto Generation of Test Scripts
Improve test reusability
Use High Quantities of Test Data Effectively
www.suntechnologies.com
4. Improved customer experience
with Sun Technologies test
automation
Due to the covid-19 crisis, the remote working culture and the
increasing demands for improved customer experiences have
increased the need for intelligent automation. Organizations
continue to stay up-to-date to a continuous testing environment
to embrace automation across the organization.
Many companies started to invest in AI and IA technologies to
optimize test automation and improve production quality.
www.suntechnologies.com
5. Augmenting application testing quality
and velocity with our IA usecases
Setting up clear and simple goals before
starting with test automation initiatives
100% Quality Assurance
Manage test automation like software
development project by dedicating time and
expert resources to test automation efforts
Expert Strategy
Focusing on the places with the most
significant benefits by using our quality -
driven test automation strategy
Maximum Benefits
www.suntechnologies.com
6. IntelliSWAUT provides capabilities for
advanced self-optimizing and adaptive
automated testing in the following areas
Test case creation and generation
Test suite optimization
Test coverage analysis
Test efficacy and scalability
Defect prediction
Decision making
www.suntechnologies.com
7. Sun Technologies can help you
automate your business by
incorporating AI/ML technologies
into your projects and business
environments with flexible
offerings depending on your
requirements
Contact our solutions expert today and get answers to all your
queries.
www.suntechnologies.com