Big data is a game-changer for businesses of all sizes. Scalable cloud solutions, open-source tools, and strategic outsourcing have dismantled barriers, placing advanced analytics within reach.
Automated tests helps companies not only save costs and improve efficiency but also ensure that they are delivering the best possible product to their customers.
Our Deep Learning series concludes with a feature on mission-critical domains. Learn more about how mission-critical operations are leveraging deep learning to benefit from adaptive decision-making, scalability and efficiency.
Part 2 of our Deep Learning blog series explores the transformative potential of transfer learning and reinforcement learning techniques. Learn about real-world applications and how these techniques can optimize decision-making and drive innovation.
Deep learning encompasses neural network architectures and generative models, which are key concepts in this field.
In this post, we explore the specific talent needs of software QA and DevOps professionals in this transformative era.
Learn how AI is enabling software QA teams to handle the complexities of cross-browser and cross-platform testing.
Digital transformation is a collective effort, and it is impossible to achieve success without collaborating with stakeholders across the organization
Learn about the advantages of cloud hosting and the factors that have contributed to its rise.
Learn about Role-Based Access Control (RBAC) and how it can be used to appropriately balance resources across multiple QA teams.
Learn whether a Testing Center of Excellence (TCoE) is appropriate for your QA team and the benefits it will provide if your organization establishes one.
5 absolutely essential books on Machine Learning for any level
AI/ML models require cloud servers to optimize their performance. In this post, we will dive into the reasons why AI technology necessitates the use of cloud servers and the advantages that can be anticipated.
Let’s take an in-depth look at the requirements for setting up and managing tests on-prem or in a private cloud vs. using the cutting-edge Functionize Test Cloud.
Learn about the various online test data generation tools that will help you generate data for test cases.
A look at some of the most common frustrations, dislikes and challenges faced in QA by software testers, and solutions to ease such difficulties.
Boost software quality and resilience by moving defect detection as early in the workflow as possible.
Learn about the common challenges and benefits of user-based feedback in the design, development and testing phases of software development projects.
The benefits of diversity in software testing teams that include people with various backgrounds, experiences, perspectives, and skill sets.
Learn why it is common for bugs to appear in clusters, and what teams can do to help minimize this occurrence.
A look at the advantages and disadvantages of Selenium wrappers, and how Functionize differs from them with its unique AI/ML-first approach to testing.
Learn how non-coding testers can apply their technical skills to the QA process, from using no-code tools to understanding product and business requirements.
A look into the evolving and increasingly important role of QA in organizations big and small.
Here’s a rundown of 5.3 release highlights including loops & conditionals, neural net, extension actions, SMS send, and element miner.
Automated web tests can be run in different environments. This often leads to a debate — Should tests be run on local browsers or run in the virtualized cloud?
The Shadow DOM is notorious for making Salesforce test automation nearly impossible. Find out how Functionize uses machine learning to break through the Shadow DOM.
Functionize is a great fit for Test Project users looking for alternative options. Read on to learn why Functionize is the best solution to replace Test Project.
Many organizations are not able to hire QA teams. In these cases, you can still accomplish quality by enabling business and technology teams with the right tools.
In sprint automation is an approach that is the most in tune with the core philosophy that governs workflows like Agile and DevOps.
Here’s a recap of release highlights including expressions, role based access control, audit log, learning mode, and input encryption.
Despite economic unpredictabilities, AI solutions can help produce long-term gains, and bring major benefits to IT organizations.
A closer look at parallel execution, which enables modern QA teams to speed up the testing process and improve efficiency.
A deep dive into smoke vs. regression testing, including common myths, basic functions, when, and how to use each for optimal software testing.
Learn why shorter tests are considered a software testing best practice, for faster, more resilient, and reusable test cases which positively impact your overall testing strategy.
Learn how implementing modern testing strategies and AI-powered tools can help teams prevent DevOps overcommitment.