As the number of tests increases and the demand for more frequent execution emerges, the expense of manual testing can quickly escalate. Automation can be an excellent approach to cutting expenses; nevertheless, the transition from manual to automated testing needs considerable effort. Let's examine when and how you should make this shift, assess the present health of your manual tests, and identify the most efficient strategy for migrating these assets to automation.
An exciting conversation with CEO and Co-Founder of OpKey Pankaj Goel around Test Automation. Pankaj shares valuable insights on how OpKey can help cut down implementation timelines of applications like SalesForce, CRM Dynamics, SAP, etc. He also discusses the increasing trend around No Code Development, best practices to succeed with test automation, Artificial Intelligence, and many more. Pankaj also touches upon how pre-fabricated automation assets can help start with test automation quickly.
In this episode of Automation Hangout, Shriram Krishnan, Vice President of ACCELQ, joins us to discuss the capabilities of his company's test automation platform. He discusses how cloud technology and artificial intelligence can improve efficiency. He also touches upon the need for end-to-end testing and the key reasons behind the improved adoption of scriptless automation platforms.
In this episode of Automation Hangout, Geraint Waters, CEO, and Co-Founder of Provar joins us to discuss the capabilities of the Provar Test Automation platform. He shares several best practices for implementing test automation effectively and trends around SalesForce DevOps, handling automation script failure, Provar's capabilities for end-to-end testing, and the roadmap for the platform. We are happy to inform you that our podcast has been listed by Feedspot last month in the Top 20 Software Testing Podcasts.
In this episode of Automation Hangout, Eran Kinsbruner, the Chief DevOps Evangelist at Perforce Software, joins us. He is a well-known blogger and conference speaker, and he has written four books on software engineering. Eran shares his thoughts and several use cases on how AI and automation can help improve software testing efficiency. He also discusses the usage of RPA for test life cycle automation, AI Ops, and his most recent book, "A Frontend Web Developer's Guide to Testing."
Bad data caused by flaws in the ETL process can lead to poor strategic decision-making. and can cost up to $14 million per year on average. Bill Hayduk, Founder, and CEO of RTTS/QuerySurge discuss the latest data engineering and validation trends. He discusses how data validation tests can be integrated into the DevOps pipeline and the skills needed to succeed in the data testing stream.
An estimated 85 percent of the world's enterprise data is stored in an unstructured format, which is out of the reach of traditional automation, BI, and Analytics solutions. Slater Victoroff, CTO of Indico Platform, shares his views on how data analytics, advanced artificial intelligence, and machine learning can analyze and process unstructured data. He also touches upon how insights and process automation capabilities can be used to accelerate business transformation initiatives.
Prabhjot Singh is the CEO of Pyze, a Process Intelligence Platform. He joins Automation Hangout to share insights on applying process intelligence and analytics to identify bottlenecks, improve productivity and drive business results. Prabhjot also touches upon several use cases around product development, customer services, and application modernization, where process intelligence and business value analytics can be applied to maximize results.
Test data management is a critical and time-consuming activity in the testing lifecycle. Test cycles are slowed by a heavy reliance on production data and centralized test data teams. Garth Rose, the CEO of Genrocket, joins us in this episode to discuss how synthetic test data can help us accelerate test cycles. Garth also discusses self-service portals, reusable test data packs, DevOps integration, and the use of synthetic data to test AI-powered applications. #testdata #genrocket #testing #DevOps
Organizations must meet the demands for speed, quality, and flexibility to manage the expectations of both the business team and end customers. Organizations have made significant improvements in the past decade to implement Agile methodologies like Lean-Agile, Kanban, Scrum, Extreme Programming, etc, and modern software development tools. However, they are challenged by a lack of collaboration, low automation levels, and low focus on continuous improvement. The pandemic and remote made of working have also impacted some of the Agile practices and ceremonies. We talk with Lisa Crispin, an industry-renowned Agile Testing Coach, and Practitioner, in the episode. Lisa talks about improving software testing effectiveness, driving continuous improvement, and increasing test automation levels. Lisa also provides the need for having a common automation toolset and reviewing feedback from production.
User Experience Testing plays a vital role in delivering compelling value to the end consumer and the business. However, the product engineering team is often challenged with implementing shift-left practices for UX testing, Artificial Intelligence capabilities, and blending UX practices within Agile Sprints. In the episode, we talk with Aldrich Huang, CEO, and Founder of UXTesting.io. Aldrich talks about how AI can help us augment UX Testing and gain a deeper understanding of the customers. In addition, Aldrich discusses the five-step testing process for Shift-Left UX Testing and the ten-point checklist for blending UX practices within Agile Sprints.
Nowadays, businesses are competing harder than ever before to release the best products possible. But after they're in the wild, quality engineering teams rarely study what their customers are doing and how they're reacting. This leads to high defect leakage and low application availability, resulting in a poor user experience. But organizations also realize that there is a need for additional focus and commitment to improving customer satisfaction. The episode will provide valuable insights on how production ticket analysis, application performance monitoring, usage pattern analysis, and sentiment analysis can help improve the overall end-user experience and application availability.