Hassen DAI’s Post

In today's fast-paced tech landscape, ensuring top-notch quality in software products is more challenging than ever. With the rise of AI and machine learning, how are you adapting your quality assurance strategies to keep up? Are you leveraging automated testing, or do you still rely heavily on manual processes? Let's discuss the balance between automation and human oversight in QA. What has worked best for your organization, and what pitfalls have you encountered? Share your insights and let's learn from each other's experiences. #TechQuality #QA #Automation #AI #MachineLearning #TechLeadership #CLevelChat

🚀 Challenges in Testing AI-Driven Applications in 2024 🧠 As QA professionals, we’ve adapted to various changes over the years, but are we testing AI systems? That's a whole new beast! 🦄 Traditional testing strategies aren't quite cutting it for AI, and the testing community is facing some real challenges. 💡 Transparency: AI models can be a black box. How do you test the logic behind decisions when the model's reasoning isn’t clear? It’s not as easy as checking a few lines of code. ⚖️ Bias: Ensuring fairness in AI models has become mission-critical, but how do you create test cases for something as nuanced as bias in an ML model? 🔄 Non-Deterministic Outcomes: Unlike traditional apps, AI systems can give different results for the same inputs. How do you test that? How do you automate that? 😅 🛠️ AI-Specific Testing Tools: Yes, tools are emerging, but many still fall short of keeping pace with the rapid evolution of AI systems. Should we push for better innovation in this area? As AI takes centre stage in modern applications, we, as QA professionals, must evolve and adapt our testing practices. 2024 is the year where testing AI applications is no longer a niche—it’s becoming mainstream. Are you ready for it? Let's talk strategies! #AI #QA #SoftwareTesting #AITesting #TechCommunity

Ai isn’t a magic wand. People may want you to believe that it is. But, It’s not. It’s okay to be skeptical about the AI claims or outputs. Critical thinking, questioning, etc. in fact, is encouraged. These will help you know the real value and separate out false claims. All the best! Repost if you agree :) If you want resources to get better at this stuff, comment "ai". Follow Rahul Parwal for more such posts on software testing 😍 Need Guidance? Connect with me on Topmate: topmate.io/parwalrahul #testing #skilledtesting #automation #rahulparwal #testingtitbits

𝐄𝐦𝐛𝐫𝐚𝐜𝐢𝐧𝐠 𝐀𝐈 𝐢𝐧 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐀𝐬𝐬𝐮𝐫𝐚𝐧𝐜𝐞: 𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 As the tech industry continues to evolve, the integration of Artificial Intelligence (AI) in Quality Assurance (QA) is reshaping the landscape of software testing. Here’s why AI-driven testing is becoming a game-changer for QA Engineers: - 𝙴𝚗𝚑𝚊𝚗𝚌𝚎𝚍 𝚃𝚎𝚜𝚝 𝙲𝚘𝚟𝚎𝚛𝚊𝚐𝚎 📈: AI algorithms can generate extensive test cases that cover more scenarios than traditional testing methods, ensuring comprehensive testing. - 𝙸𝚖𝚙𝚛𝚘𝚟𝚎𝚍 𝙰𝚌𝚌𝚞𝚛𝚊𝚌𝚢 ✅: AI reduces human error by automating repetitive and mundane tasks, leading to more precise results. - 𝙵𝚊𝚜𝚝𝚎𝚛 𝚃𝚒𝚖𝚎-𝚝𝚘-𝙼𝚊𝚛𝚔𝚎𝚝⏱️: By automating regression tests and other repetitive tasks, AI accelerates the testing process, helping companies release products faster. - 𝙿𝚛𝚎𝚍𝚒𝚌𝚝𝚒𝚟𝚎 𝙰𝚗𝚊𝚕𝚢𝚝𝚒𝚌𝚜 🔮: AI can analyze historical data to predict potential failures and bugs, allowing proactive measures to be taken before issues arise. - 𝚁𝚎𝚜𝚘𝚞𝚛𝚌𝚎 𝙾𝚙𝚝𝚒𝚖𝚒𝚣𝚊𝚝𝚒𝚘𝚗 💡: AI enables smarter allocation of resources by identifying which tests to run and which areas to focus on, optimizing both time and cost. - 𝚂𝚎𝚕𝚏-𝙻𝚎𝚊𝚛𝚗𝚒𝚗𝚐 𝚂𝚢𝚜𝚝𝚎𝚖𝚜 🤖: Machine learning algorithms continuously improve and adapt based on new data, enhancing the efficiency and effectiveness of testing over time. - 𝙴𝚗𝚑𝚊𝚗𝚌𝚎𝚍 𝚄𝚜𝚎𝚛 𝙴𝚡𝚙𝚎𝚛𝚒𝚎𝚗𝚌𝚎 🌟: By simulating real-world user interactions more accurately, AI helps in delivering a product that meets user expectations and provides a better overall experience. QA Engineers, it's time to embrace AI and take our testing capabilities to the next level! 🚀 #QualityAssurance #SoftwareTesting #AI #MachineLearning #TestAutomation #QATrends #TechInnovation #SoftwareDevelopment #AutomationTesting #FutureOfQA

I busted my brains learning about the importance of AI in software testing. And what I noticed was that it's an immense time-saver and honestly, a lifesaver! AI can test software far more rapidly than us humans, leading to faster deployments and updates. Which made me think, just imagine being freed from all those mundane, repetitive tests- we'd be able to focus our attention on more complex, high value tasks. And that's when I realized, software testers aren't going to be out of jobs- they'll just level up. Their roles will evolve to something way more creative and strategy-focused. So, if you're in this field, don't fear AI. Instead, get to know it, embrace it. It's not here to replace you but to make you stronger, more versatile. Isn't it time we start seeing AI as an ally rather than a threat?

🌟 Monday Motivation: Embracing AI in QA Testing 🌟 As we kick off another week, I'm excited to share my thoughts on a topic that’s transforming the QA industry: AI in testing. AI is no longer a futuristic concept; it's here and revolutionizing how we approach quality assurance. Here's why AI in QA is a game-changer: ➡ Automated Test Case Generation: AI can generate and execute test cases automatically, reducing manual effort and human error. ➡Predictive Analytics: Identify potential issues before they arise, saving time and resources. ➡Continuous Testing: Integrate AI into CI/CD pipelines for real-time testing and feedback. Let’s Chat: How are you integrating AI into your testing strategies? Have you experienced any breakthroughs or challenges? Let’s learn from each other’s experiences! 💬 Fun Fact: The global AI in testing market is expected to grow to $1.2 billion by 2025. Are you ready to be part of this growth? Your Thoughts: Do you believe AI is the future of QA? How do you see it impacting your work? Let’s discuss! 🚀 #MondayMotivation #AITesting #QATrends #Innovation #LambdaTest #SoftwareTesting

AI can do the heavy lifting, but QA still needs a human mind behind it. 💡🤖 As our cofounder, Ivan Barajas, explains, human expertise remains crucial for interpreting results and defining strategies. How are your teams integrating AI into their QA efforts? #aitesting #TestAutomation #SoftwareQuality #AI

With the evolution of AI, many test automation tools are being created to let engineers automate without needing to code. This saves time and allows focus on the logic of tests and software quality. Even though these tools make automation easier, technical knowledge is still important. Understanding how systems work and making smart adjustments to tests is a key role for QA. But can we fully trust AI without risking the quality of our product? Have you tried no-code automation? #SoftwareTesting #AutomationTesting #AI #NoCodeAutomation #QualityAssurance

👨💻 Curious testers, come explore the game-changing skill of #promptengineering! Whether you're new or experienced, this webinar will help you harness #AI for more efficient #testing. Rahul Parwal, an expert software tester & recipient of the prestigious 🏆 Jerry Weinberg Testing Excellence Award, will be taking you through prompt foundations, hacks, and unleashed #generativeAI 🧠 Attend the session by registering: https://gag.gl/SLGuaX?

Do you want to Develop AI Solutions? Let Mammoth-AI build for you! Not only are we experts in QA Testing we also have an expert Development team. AI is all around us. If you want to hear about some of the latest projects we've been developing drop me a DM! #Development #AIDevelopment #SoftwareTesting