In the ever-evolving world of Software Development, it is essential to maximize testing efficiency. From Tech Biggies like Deloitte and IBM to startups and small IT companies-Everyone wants their testing efficiency to be at its best.
Cyberattacks are growing rapidly in terms of complexity and numbers. Attackers are becoming more crafty and audacious than ever. In a summary:
Digital Transformation has become a necessity for organizations to ensure productivity and continuous growth.
End-to-End testing has become the most crucial factor to ensure the quality and reliability of software applications. This testing process involves testing an application’s workflow from start-to-finish in real user scenarios.
With the launch of 5G services in India in October 2023, people are anticipating that this wireless access technology is going to bring a digital revolution to the country.
Artificial Intelligence is the latest Buzzword. With the invention of OpenAI’s in-house tool ChatGPT-The whole world is now riding the AI hype cycle.
With the ever evolution in digitization, Companies have noticed a significant increase in breaches and cyber threats. The current scenario has made organizations rethink their operational strategy with digital approach. Hence, companies are implementing new testing strategies which identifies issues, vulnerabilities in the development phase itself and aids in proactively preventing potential cyber attacks.
We live in a world where Generative AI is ruling in every aspect. We all experienced Artificial Intelligence’s rise in November with OpenAI’s top-class invention ChatGPT. It is safe to say that ChatGPT created a sensation in today’s techy world. We cannot forget about Microsoft’s Bing Chat and Google’s Bard which were introduced in February and March respectively.
Finding the right balance between software quality and the release date is one of the most significant challenges in software development. While software testing ensures your product meets all customer requirements, addressing each product risk with a test case and running those test cases may significantly postpone the product’s launch.
As a QA professional, I have been fortunate to work with various individuals and companies in the tech ecosystem. Through these experiences, I have gained valuable insights from (in my opinion) some of the top software engineers in the Greek software engineering community.
In the marketing field, artificial intelligence (AI) has become increasingly prevalent, changing how firms interact with their target audiences.
Cloud automation doesn't need to be complex. With Ansible, you can easily set up secure cloud automation workflows with a handful of YAML files.
In AI development, success or failure lies significantly in a data science team’s ability to handle edge cases, or those rare occurrences in how an ML model reacts to data that cause inconsistencies and interrupt the usability of an AI tool. This is especially crucial now as generative AI, now newly-democratized, takes center stage.
The concept of Low-Code/No-Code platforms works in the same way. Such platforms speed up company operations and boost efficiency.
This week, I logged into ChatGPT to continue testing its ChatGPT plugins feature, only to notice a new addition to the beta feature section: Browse with Bing. Needless to say, I jumped on it — who doesn’t love a new toy? — and put it through its paces. However, not only was I amazed by how powerful this new feature is, I was a little unsettled by how it could be used as well.
Digital transformations among enterprises are non-negotiable as the lack of investment in emerging technologies for process automation will inevitably lead to a loss of competitive advantage. However, the flip side of greater reliance on programmable controllers, smart sensing technologies, and other embedded devices is the greater cybersecurity risks.
The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better. Will Douglas Heavenarchive page
Highlights n ChatGPT can reproduce and explain certain types of humor, particularly puns, based on learned patterns. n The AI struggles to produce original humorous content and has limitations in recognizing humor outside its learned patterns.
1. Low-Code or No-Code AI As we approach the midpoint of 2023, there has been a significant increase in the adoption of low-code or no-code Artificial Intelligence (AI). AI has moved away from technical jargon and toward user-friendly drag-and-drop interfaces.
This tutorial explains what COQ is, costs of good and poor quality, cost of quality formula, examples, and ways to improve quality to optimize COQ:
AI-powered personalization involves using artificial intelligence and machine learning to analyze customers’ data, understand their preferences and needs, and tailor their experience accordingly.
In today’s fast-paced environment, businesses are working on creating processes that can save time, streamline efforts and help them be more efficient. It is not necessary that everything needs to be done by a human, especially when the tasks are predictable and repetitive.
The Agile methodology for software development focuses on releasing high-quality software regularly. Agile testing plays an important part in that, as it helps to ensure that the software you release is free from bugs and delivers a quality user experience.
Let’s face it, chatbots are no longer a new concept. They have already become a popular solution for businesses looking to streamline their operations and improve customer experience.
OpenAI has announced the release of its latest large language model, GPT-4. This model is a large multimodal model that can accept both image and text inputs and generate text outputs.
Load testing is a part of performance testing (non-functional testing type), which includes an effective process of subjecting applications, websites, servers, networks, or systems to varying loads per their specification limits to check the stability of the app, server, network, or system. This testing method includes
Along with the turning to cloud integration services, the optimization of business processes has begun. Over time, the range of tasks that they solve expands, and with it, the cost of the cloud grows. To understand what exactly is responsible for this growth and whether it can be reduced, Cloud FinOps practices were invented. Some of them will be discussed below.
A recent *study showed that 75% of organizations use a combination of manual and automated testing. This was a big difference from 2010 when I started my blog, which is dedicated to helping folks move toward more automation for their testing efforts. The number back then was probably around 5–10%. Even though the number of companies investing in automation has grown substantially, I still see a large gap. It seems that most of the engineers I speak with are still focusing solely on automated functional tests. It’s a great start, but many still miss a big opportunity
Thanks to the increasing usage of different software solutions, API usage has become an everyday practice. As such, API security is a more prevalent issue in app development than ever before.
A lot of people talk about red teams, blue teams, and purple teams when they talk about cybersecurity. But what’s the difference between each team, and why does it matter? In this article, we explain how these teams divide cybersecurity responsibilities and why purple teams are critical to a robust defense
Architecture emerged to be on top of conventional SOA. Microservices architecture brought many benefits, which is what you will learn about in this article.
Have you liked the ACCELQ platform but not sure how to migrate the automated tests from your existing test automation platform to this new platform? Don’t be worried. In this article, we cover the essentials for you. Knowing these details will give you some extra confidence.
Conversational Artificial Intelligence (AI) has been making waves in the technology industry, especially with the introduction of Microsoft’s ChatGPT. However, this chatbot has now found stiff competition with the announcement of a new rival that has been developed by Google, known as Google Bard. The next few months will witness how Bard will fare against ChatGPT in producing optimized, relevant results to all kinds of user queries.
Today, software developers have no option but to provide a software application near perfection. Automation is a great way to expand operations and save time and money. All the repetitive testing tasks that take a long time and are challenging to complete manually are automated using automated software tools. On the other hand, manual testing necessitates a trained human’s precise execution of test actions.
It’s ChatGPT vs Google, and the world is on the verge of a paradigm-shifting technological revolution. ChatGPT has undeniably taken the world by storm. The Internet is lit with its extraordinary natural language processing capabilities and crisp responses. However, the AI chatbot from OpenAI has gained more notoriety as the ‘would-be Google killer.’ Some experts consider it the ultimate nemesis of Google — the unchallenged ruler of the online world.
The snowflake is considered because of the following reasons. They are: • Snowflake is well-known for its easy to use interface. With the system, you can get answers quickly, and you can instantly or on the fly spin up or down high computational clusters of any size for just about any user or amount of work without meddling with other tasks.
There has been a lot of talk about Chat GPT since its launch in November 2022. This ‘smart chat’ has surprised even the most skeptical. In this post we will discuss how it works and how you can use Chat GPT in your projects.
The technique of protecting internet-connected systems such as computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks is known as cybersecurity.
Python will be celebrating its 30th anniversary in the year 2022. It will successfully complete its three decades in the arena and has successfully given many other significant programming languages great competition. So it is very obvious that Python is definitely going to be pretty important for software developers even in the upcoming year.
There are plenty of organizations that are dabbling with AI, but relatively few have decided to go all in on the technology. One that is decidedly on that path is Mastercard. Employing a combination of acquisitions and internal capabilities, Mastercard has the clear objective of becoming an AI powerhouse. Just what does that term mean, and how is it being applied at the company?
Given below is a list of all cross-browser compatibility testing tools available online for testing websites on multiple browsers.
A Cognitive computer or system learns at scale, reasons with purpose and interacts with humans naturally. Rather than being explicitly programmed, these systems learn and reason from their interactions with human beings and their experiences with their environment. Cognitive computing overlaps with Artificial Intelligence and involves similar technologies to power cognitive applications. In this article, we will learn more about Cognitive AI in the following sequence:
With deployments of IoT devices and the arrival of 5G fast wireless, placing computing, storage, and analytics close to where data is created is making a case for edge computing.
Quantum computing is an area of computer science that uses the principles of quantum theory. Quantum theory explains the behavior of energy and material on the atomic and subatomic levels.
More CIOS are turning to robotic process automation to eliminate tedious tasks, freeing corporate workers to focus on higher-value work. But RPA requires proper design, planning and governance if it's to bolster the business, experts say.
What Is Data Science? Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.
We saw a breakthrough in the evolution of software development and the applications that turned the world around. The recent applications have proven that life could be simple, not just with their ease of use but also with an effortless application-building process. Modern applications are built using a simple user interface that follows Low or No-code development principles. In this article, you will surf through almost everything about the Low-code or No-code development principles and procedures
What is Blockchain Technology? How Does Blockchain Work? Over the past few years, you have consistently heard the term ‘blockchain technology,’ probably regarding cryptocurrencies, like Bitcoin. In fact, you may be asking yourself, “what is blockchain technology?” It seems like blockchain is a platitude but in a hypothetical sense, as there is no real meaning that the layman can understand easily. It is imperative to answer “what is blockchain technology, “including the technology that is used, how it works, and how it’s becoming vital in the digital world.
What is the difference between AR and VR? While both technologies involve simulated reality, AR and VR rely on different underlying components and generally serve different audiences.
An enterprise architecture (EA) is a conceptual blueprint that defines the structure and operation of organizations. The intent of enterprise architecture is to determine how an organization can effectively achieve its current and future objectives. Enterprise architecture involves the practice of analyzing, planning, designing and eventual implementing of analysis on an enterprise.
What is cloud computing? Cloud computing is a general term for anything that involves delivering hosted services over the internet. These services are divided into three main categories or types of cloud computing: infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS).
The age of the smartphone opened up a whole new window for businesses to connect with their customers in an interactive way using apps.
What is 5G? Fifth-generation wireless (5G) is the latest iteration of cellular technology, engineered to greatly increase the speed and responsiveness of wireless networks. With 5G, data transmitted over wireless broadband connections can travel at multigigabit speeds,
Data breaches are regular occurrences that affect companies of all sizes and in every industry — exposing the sensitive data of millions of people every year and costing businesses millions of dollars. In fact, the average cost of a data breach in 2022 is $4.35 million, up from $4.24 million in 2021.
Why Every Organization Needs an Augmented Reality Strategy
An executive guide to artificial intelligence, from machine learning and general AI to neural networks.
Ranorex Studio is a powerful GUI Automation Test tool that is used for testing Desktop, Web and Mobile based applications. It supports the development of automated test modules with the help of standard programming languages such as VB.NET and C#.
As of 2019, there were over 2.5 billion active Android devices in circulation. That number is only going up. You might have access to an Android phone or device. But what if you don’t? That’s where an Android emulator can help; it can simulate an Android OS and interface so that you can test your application. This article highlights detailed information about Android emulators, how they work, how they are used, and the extent to which they can correctly test your Android and web applications.
Without any further ado, here is a list of things which I personally believe, every programmer should know, irrespective of the job he is doing. These are basic skills and will serve you for a long time. Any investment made into these skills in terms of time, money, and effort will reap rewards throughout your career.
Here’s a brief description of each mobile application testing tool to showcase each tool’s best use case, some noteworthy features, and screenshots to give a snapshot of the user interface.
This is our list of the latest technology trends for 2022-2025. In this in-depth report we’ll cover: • Quantum Computing • Blockchain • Cybersecurity • And lots more In addition to exploring these important tech trends, we’ll also peek around the corner to understand what's coming next. Enjoy!
Robotic Process Automation (RPA): As the name suggests, RPA is a commonly used technology for businesses that deal with a large amount of repetitive tasks. A great example of such a business would be hospitals that deal ...