Making informed investment decisions is critical for business success. But how can you truly understand the impact of a new solution without trying it?Look no further than The Total Economic Impact™ of Qyrus.
“There were a lot of test platforms out there that do mobile or web or API testing. The beauty of Qyrus is that you can build a scenario and string add-in components of all three to create an end-to-end scenario. That is what we found to be most impressive in Qyrus.” – CTO, A Digital Bank Headquartered in the UK.
This independent Forrester research provides a comprehensive analysis of the potential return on investment (ROI) you can achieve with Qyrus. The Forrester TEI report leverages real-world customer data and Forrester’s proven methodology to uncover the following:
The Forrester TEI report for Qyrus delves deeper into specific benefits you can expect, including:
Pain points and opportunities that led the customers to invest in Qyrus.
Measurable productivity gains driven by automation and streamlined workflows.
Tangible revenue growth opportunities unlocked by improved decision-making.
Quantifiable cost savings achieved through increased efficiency and reduced errors.
Unquantifiable benefits like team collaboration, solution integration capabilities, and organizational agility accomplished and identified with automation.
Faster time-to-market through streamlined processes and improved workflows.
Enhanced user productivity by reducing production errors.
Increased customer satisfaction by delivering accelerated feature release and market response.
Ready to unlock Qyrus’ true potential? Download your free copy of the Forrester TEI report and discover the quantifiable impact it can have on your business. Simply fill out the form below and get immediate access to this valuable resource.
Don’t wait! See how Qyrus can transform your business with the insights from the Forrester TEI report.
The rise in prominence of AI chatbots over traditional rule-based types is at an all-time high. For example, contact centers will save agent labor costs of $80 Billion using conversational AI by 2026. Similar usage trends are evident in other business verticals as well.
Conversational AI-based chatbots rely on machine learning and natural language processing to deliver optimal interactions. End-to-end technology enablement helps these bots overcome the flexibility limitations of other chatbot types.
Despite the all-pervasive power of AI, certain issues raise the need for checks and balances. For example, recently, generative AI has been mired in issues like accuracy, bias, and privacy concerns. And corporate AI chatbots can have no room for errors or ‘hallucination.’
Join us as we unravel different chatbot types, components, testing, and challenges. As part of this journey, you will understand the importance of terms like utterance, intent, and entity in AI chatbot technology. We have also thrown in use cases to demonstrate how you can test an AI chatbot’s intent and entity detection capability.
This eBook includes ways to leverage AI for testing with Qyrus’ Sage platform. Sage’s seamless integration with bot-building platforms simplifies chatbot testing and reduces turnaround times. Its intuitive interface, detailed insights, and loop closure mechanisms enable single-click AI model training options for developers.
Download this eBook to understand how you can:
Optimally test chatbots for implementation success
Extract intents and entities for ideal AI chatbot outcomes
Overcome challenges in intent and entity extraction.
Exploit the power of AIand automation for chatbot testing.
Simplify AI chatbot tests with the Sage testing platform.
Software testing myths are common in many teams. For example, your key stakeholders might feel that software testing is an unnecessary, time-intensive expense. Or your peers may think that tests are required only at the end of the SDLC.
API testing is a case in point. Our recent survey indicates that 78% of businesses consider API testing to be a highly complex process. Such testing myths negatively impact project outcomes and the resultant ROI. The prevalence of such can be a setback for the entire software testing lifecycle. In this e-book, we examine actual software testing facts to dispel such concerns.
Advances like codeless automated testing eliminate the complexities and resource-intensive nature of legacy software testing models. It is possible to reduce test execution times by 40% using the Qyrus codeless test automation platform.
Our e-book presents a detailed overview of the myths and facts of software testing. It also offers takeaways to:
Reduce software testing lifecycle costs and complexity
Enhance software testing with codeless test automation
Boost test efficiency and coverage
Roll out unique test cases in a faster manner
Realize the need for agile DevOps environments
Increase collaboration to achieve goals of software testing
Did you know that more than 50% of development efforts across organizations are taken up by APIs? Source
The API testing market will be worth USD 1.56 billion in 2022, and exhibit a CAGR of 18.97 per cent between 2023 and 2032. Source
While there is no doubt that API investments remain strong, and the API testing market is growing rapidly, API testing might not be a top priority for organizations as they cannot address its complexities.
Their API testing strategy is unable to shift left, which leaves APIs just short of becoming a strategic asset. Organizations must move to an automated API testing approach to accelerate the API testing process and ensure various stakeholders can identify bugs early on in the development cycle.
In this e-book, we discuss the various API testing challenges that stop an organization from moving to shift left testing and how an automated approach to API testing helps address these challenges.
This e-book also covers:
The Importance of the Shift Left Approach to Testing
Testing Complexities that Act as a Barrier to the Approach
Addressing Complexities with Automated API Testing
How Qyrus Supports API Testing Efforts?
Tangible Results from Qyrus
A Gartner study has mentioned that by 2024, 75% of large enterprises will use AI-enabled test automation tools for continuous testing. Also, 80% of the participants intend to increase the number of AI-based trials and proofs of concept, as per the World Quality Report survey. Such reports on industry trends indicate that AI-based automated testing is on the rise and on track for more than just a passing grade.
We at Qyrus believe that an AI-led quality assurance testing solution should be based on an approach guided by a continuous cycle of Discover >Understand > Predict > Respond.
Read this e-book to know:
How Artificial Intelligence help software developers and testers across industries?
How can Qyrus help in shaping the QA & testing space using AI?
How can AI make test automation more productive?
Businesses that deliver and maintain high-quality outcomes for customers over a sustained period are the ones that tend to rule the roost. And to that effect, enterprise CIOs—from technology startups to multinational companies are going all out to include high-performance, feature-rich, and secure software systems in their tech stack. But achieving this hyper-performance, hyper-quality vision is easier said than done.
Even organizations that have streamlined software and application development processes expect their development teams to improve the testing speed for faster time-to-market. In this conflicting environment, CIOs increasingly look for quality assurance processes for testing automation that helps them address end-user expectations more effectively and stay responsive to testing standards changes.
Download this whitepaper to know:
How CIOs can benefit from test automation
Key steps to ensure quality at speed in continuous testing
How Qyrus can help businesses in any segment to make their tests faster, smarter, and more quality-oriented
Did you know that 68% of developers expect to rely more on APIs this year, than they did last year? In an age when more organizations than ever depend on APIs to drive revenue, are seeking to capitalize on the API economy, and are adopting micro services, it’s critical to modernize API testing with automation.
Download Re-imagining API Testing: The Path to the Future.
Discover how to overcome the barriers associated with API testing and create dependable, high-performing, and secure APIs, quickly and cost-effectively. Get the speed, security, cost efficiency, quality, and test coverage your business needs to accelerate software delivery—and ramp up digital transformation and enhance customer experience.
Did you know that 68% of developers expect to rely more on APIs this year, than they did last year? In an age when more organizations than ever depend on APIs to drive revenue, are seeking to capitalize on the API economy, and are adopting micro services, it’s critical to modernize API testing with automation.
Download Re-imagining API Testing: The Path to the Future.
Discover how to overcome the barriers associated with API testing and create dependable, high-performing, and secure APIs, quickly and cost-effectively. Get the speed, security, cost efficiency, quality, and test coverage your business needs to accelerate software delivery—and ramp up digital transformation and enhance customer experience.
Qyrus simplifies Salesforce testing. Its testing coverage cuts across multiple complex testing scenarios, is easy to implement, and its codeless test automation enables you to navigate some of the more complex Salesforce testing challenges.
Qyrus’ no-code testing for Salesforce ensures testers, developers and business users can use the various point-and-click features to build their own tests for different use cases. Users do not have to worry about repetitious manual tests and more importantly changes can be incorporated without worrying whether any changes made will impact third-party app integration.
Learn how to maximize your test coverage and leverage the Qyrus Automation Platform with the Salesforce eBook.
Learn More About:
Salesforce Integration Complexities
Salesforce Testing Challenges
Limitations of Conventional Test Automation Tools
Qyrus – Delivering E2E Codeless Testing for Salesforce
Qyrus Differentiators and Advantages
Jerin Mathew
Manager
Jerin Mathew M M is a seasoned professional currently serving as a Content Manager at Qyrus. He possesses over 10 years of experience in content writing and editing, primarily within the international business and technology sectors. Prior to his current role, he worked as a Content Manager at Tookitaki Technologies, leading corporate and marketing communications. His background includes significant tenures as a Senior Copy Editor at The Economic Times and a Correspondent for the International Business Times UK. Jerin is skilled in digital marketing trends, SEO management, and crafting analytical, research-backed content.
