Category: Blog

What is Codeless Automated Testing & How Does it Work?

Codeless platforms relieve the time-intensive burden of writing code to automate tests. Codeless automated testing has emerged as an excellent way to enhance testing protocols and streamline repetitive manual processes. However, many companies have yet to adopt this innovative technology practice. This guide focuses on codeless test automation, how it works, when to use it, and how to choose the right solution for your business. 

A Guide to Decentralized Applications: Pros, Cons, Examples

Decentralized applications are emerging as an application solution with the potential to transform industries, transactions, and even ways of life. By shifting the control from corporations or singular entities to users, decentralized applications are a technology practice that significantly improves privacy, transparency, and efficiency. This guide provides the definition, working principles, examples, and pros and cons of decentralized applications. 

Best Practices for Headless CMS and SEO

Headless CMS is gaining widespread popularity as businesses opt for a CMS solution that provides more control and flexibility on the backend. However, a Headless CMS does not control how the content is rendered on the frontend. So, how do businesses ensure top search results with a Headless CMS? This guide to Headless CMS SEO lists best practices and tips to achieve SEO success with headless CMS’es. 

How to Boost Teamwork with Asynchronous Communication

While real-time, face-to-face interaction holds its value, the reality of modern workplaces often requires the utilization of asynchronous collaboration. When implemented effectively and combined with direct interaction, asynchronous collaboration can foster team alignment and improve overall efficiency.

How to Adopt Scrum in Your Team

Over the past decade, the role of the Scrum Master has gained immense relevance in the global market. This can be attributed to the increasing number of companies striving to embrace agile to effectively address their customers’ needs.

AI-Augmented Observability: GPT-4-powered cloud Insights for everyone

You’ve undoubtedly heard the buzz surrounding OpenAI’s GPT-4. You might have even dabbled with it, integrating its capabilities into your daily tasks. But now, as you delve deeper, you’re on the lookout for more advanced use cases. You’re probably wondering if you could leverage GPT-4 capabilities to achieve tasks related to cloud-based applications and perhaps, looking to achieve more cloud-strategic goals. Have you ever wanted a way to easily inventory your cloud resources? Perhaps you’re considering reviewing your cloud attack surface? Or are you pondering effective planning for cloud costs? All of the above?  

What We Learned from Using GitHub Copilot to Develop a Machine Learning Project

Background   The history of software engineering is defined by the journey from complexity to simplicity through ever-growing levels of abstraction. Tools, such as programming languages, debuggers, static code analyzers, version control tools, and integrated development environments (IDEs), aim to make the work of software engineers easier and faster by allowing them to operate with code at increasingly higher levels of abstraction. This, combined with the advancements in hardware processing power, has enabled the development of progressively intricate and powerful systems.   

Can Agile and AI Work Together?

Agile methodologies have gained widespread adoption across all market sectors since their conception, yielding positive results. The industry’s acceptance of Agile continues to grow even today. As companies increasingly integrate Artificial Intelligence-powered technologies into their products, questions arise regarding project and initiative management around these products. Is Agile the solution for AI development, or should organizations seek alternative methods to manage their AI-related software projects?To begin, AI development differs in many ways from traditional software development. The programming paradigm varies between the two, making it challenging to apply the same agile or predictive framework to support the necessary activities for anticipated

The Pursuit of Digital Transformation in an Archaic Industry—In a Pandemic?

The COVID-19 pandemic has upended much of the world as we know it, wreaking havoc on industries of all sizes to varying degrees. And while business may be booming for networking technology companies or healthcare suppliers, for most industries the outlook is a bit more complex.In the years preceding the pandemic, the landscape of the insurance industry had begun to shift dramatically. The industry had been experiencing a fundamental transformation driven by the emergence of InsurTech—which has accelerated product innovation and introduced new business models—and an increasingly stringent regulatory environment.In an industry not accustomed to radical change, insurance organizations are

Low-code in Software Development is the Future of Business Agility

A recent survey from Gartner and Forecaster that the market for the low-code platform would remain robust in 2021. The results also predicted that the rise in virtual work spaces would reshape the importance of ‘agility’ in the future of work. In the post-pandemic market scenario, business agility will play an important role in sustaining business operations and achieving competitive advantage.A massive shift in the adoption of low-code solutions in 2020 is a testament to the fact that businesses are looking for a more agile framework that they can quickly adapt to changing market conditions in order to meet customer

Why Companies Are Using Dynamic Data Masking

Many companies are turning to dynamic data masking (DDM) as a way to protect their sensitive data while it is being used for activities such as software testing, sales demos, or user training. In short, DDM prevents non-authorized access to sensitive data by rendering it unreadable. Those with authorization, or proper privileges, are able to access the data. Data protection remains a priority for companies as cybersecurity threats continue to arise, and DDM stands to offer many benefits and a wide range of applications for data security. 

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