We made it— 300 episodes of This Is Woman’s Work ! And we’re marking this milestone by giving you something that could seriously change the game in your business or career: the skill of pitching yourself effectively. Whether you’re dreaming of being a podcast guest, landing a speaking gig, signing a client, or just asking for what you want with confidence—you’re already pitching yourself, every day. But are you doing it well? In this milestone episode, Nicole breaks down exactly how to pitch yourself to be a podcast guest … and actually hear “yes.” With hundreds of pitches landing in her inbox each month, she shares what makes a guest stand out (or get deleted), the biggest mistakes people make, and why podcast guesting is still one of the most powerful ways to grow your reach, authority, and influence. In This Episode, We Cover: ✅ Why we all need to pitch ourselves—and how to do it without feeling gross ✅ The step-by-step process for landing guest spots on podcasts (and more) ✅ A breakdown of the 3 podcast levels: Practice, Peer, and A-List—and how to approach each ✅ The must-haves of a successful podcast pitch (including real examples) ✅ How to craft a pitch that gets read, gets remembered, and gets results Whether you’re new to pitching or want to level up your game, this episode gives you the exact strategy Nicole and her team use to land guest spots on dozens of podcasts every year. Because your voice deserves to be heard. And the world needs what only you can bring. 🎁 Get the FREE Podcast Pitch Checklist + Additional Information on your Practice Group, Peer Group, and A-List Group Strategies: https://nicolekalil.com/podcast 📥 Download The Podcast Pitch Checklist Here Related Podcast Episodes: Shameless and Strategic: How to Brag About Yourself with Tiffany Houser | 298 How To Write & Publish A Book with Michelle Savage | 279 How To Land Your TED Talk and Skyrocket Your Personal Brand with Ashley Stahl | 250 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music…
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#006 Quality Performance Testing
Manage episode 446914355 series 3609053
Contenido proporcionado por Voxstar - Gene Da Rocha. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Voxstar - Gene Da Rocha o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Just as with TDD and BDD, it is recommended that performance testing be started as early as possible. It’s much harder to change an application’s architecture once your software has been developed, so you want to ensure it’s done before you start any performance analysis.
Within the software quality assurance world, performance testing generally speaking is performed to see how your software responses to load, stress and responsiveness with different data workloads and timings.
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CompartirManage episode 446914355 series 3609053
Contenido proporcionado por Voxstar - Gene Da Rocha. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Voxstar - Gene Da Rocha o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Just as with TDD and BDD, it is recommended that performance testing be started as early as possible. It’s much harder to change an application’s architecture once your software has been developed, so you want to ensure it’s done before you start any performance analysis.
Within the software quality assurance world, performance testing generally speaking is performed to see how your software responses to load, stress and responsiveness with different data workloads and timings.
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Artificial Intelligence (AI) has been advancing rapidly in recent years, and one of the most intriguing topics in the field is Artificial General Intelligence (AGI). AGI is the hypothetical intelligence of a machine that can understand or learn any intellectual task that a human can. In simpler terms, AGI refers to a machine that has the cognitive abilities of a human being. #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #ComputerVision #AI #DataScience #NaturalLanguageProcessing #BigData #Robotics #Automation #IntelligentSystems #CognitiveComputing #SmartTechnology #Analytics #Innovation #Industry40 #FutureTech #QuantumComputing #Iot #blog #Blog #Writing #ContentMarketing #Tech #Technology #Science #Innovation #Entrepreneurship #Startup #Business #Marketing #Education #SelfImprovement #Productivity #Leadership #Creativity #Inspiration #Motivation #LifeLessons #PersonalDevelopment #voxstar1 #genedarocha…
Another key difference between the two models is the type of tasks they were trained to perform. While ChatGPT was trained primarily to generate natural language responses to a given prompt, Gemini was trained to perform a broader range of tasks, including summarization, translation, and even image captioning. This means that Gemini is more versatile than ChatGPT and can be used for a wider range of applications. The race is very close.…
The regulation of AI systems is becoming increasingly important, as more businesses and organizations adopt AI technologies to automate processes, improve decision-making, and enhance customer experiences. Governments, including the USA and UK, have a crucial role to play in ensuring that these technologies are developed and deployed safely and responsibly. In this response, I will outline some of the key considerations for governments when regulating AI systems.…
Delysium is a blockchain-based gaming platform that aims to revolutionize the gaming industry. The company was founded in 2017 by a team of gaming and blockchain experts who recognized the potential for blockchain technology to transform the way games are designed, created, and played.
“RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures” is a research paper authored by Mike Pound, Andrew French, and others, which was published in the journal “Plant Physiology” in 2016. The paper presents a novel approach to automatically navigating complex plant root architectures using deep learning.…
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Voxstar AI Automation
1 #22 Quick Analysis on AI Report on ImageNet Classification with Deep Convolutional Neural Networks 14:23
This is a research paper titled “ImageNet Classification with Deep Convolutional Neural Networks” authored by Geoffrey Hinton, Alex Krizhevsky, and Ilya Sutskever. This paper is a seminal work in the field of artificial intelligence and deep learning and was published in 2012.
The new demo from Microsoft, Bing looks ace with the New Bing Search, which uses a powerful more adaptive of ChatGPT, a special training model for Search, Chat, and the browser. This is the new co-pilot for Web Searches. They will be many skeptics as they should be with new tech.
Battery Technology Breakthroughs 1.Solid-State Batteries:Tesla is introducing solid-state batteries in its upcoming vehicles, such as the Tesla Model Q 2025. These batteries replace liquid electrolytes with solid ones, offering several advantages: •Faster charging times (10–15 minutes). •Enhanced safety by eliminating risks like thermal runaway. •Higher energy density, potentially increasing EV range by up to 80%.The Model Q will also leverage this technology to reduce production costs by 27%, making EVs more affordable with a starting price under $19,789.…
Preparing for the next frontier- Quantum Computing We’re on the cusp of a new frontier in technology... One that could change computing forever. It's called Quantum Computing. In short, we've been using bits to store data since the beginning of computing. But what if there was another way? What if we could use something else entirely different? That's exactly what quantum computing does! Instead of bits, it uses quantum particles to solve our problems. As you might expect, it works very differently than regular computers.…
In 2025, software development is changing fast, thanks to no-code platforms. These tools let people with little coding know-how make apps and automate tasks quickly and well. This is a big deal for those who want to create software but don't know how to code. No-code platforms are changing how we make software. They make it easy for more people to create apps. With visual tools and simple interfaces, anyone can start making apps fast, without needing to know how to code.…
Did you know ChatGPT can remember thousands of tokens? This lets it have deep and meaningful conversations. We'll explore how ChatGPT's memory works, including its architecture and functions. Key Takeaways ChatGPT keeps a memory of thousands of tokens, making conversations rich and meaningful. Its memory system has parts for processing, storing, and managing chat info. ChatGPT remembers the context, follows the flow of info, and switches between topics smoothly. Even though ChatGPT's memory is vast, it's not endless. It has limits in storing and processing tokens. Using prompts well can help make the most of ChatGPT's memory and conversation skills.…
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Voxstar AI Automation
Imagine a world where simple prompts can turn into million-dollar business ideas. Sounds like science fiction, right? In this digital age, a new trend prompt engineering is doing just that—transforming creative sparks into real wealth. Together, let's explore this innovative technique and unveil how it's capturing the essence of human creativity, leading to sudden financial success for some. Understanding Prompt Engineering Prompt engineering, at its core, involves designing specific prompts or instructions to guide advanced AI systems in generating useful outcomes. It is akin to the maestro orchestrating an AI symphony, coaxing the best performances from complex algorithms.…
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Voxstar AI Automation
In the fast-evolving world of artificial intelligence, mastering the art of prompt engineering is akin to wielding a powerful tool that can significantly enhance your AI interactions. Whether you're a data scientist, developer, or AI enthusiast, understanding how to craft effective prompts can elevate your AI applications and yield impressive results. In this article, we'll explore ten transformative hacks for prompt engineering that can transform your experience with AI models, providing you with insights and practical techniques to optimize your dialogues.…
At its core, ChatGPT uses a type of neural network called a Transformer network. This network is designed to process sequential data, such as text, and generate predictions about what should come next in the sequence. In the case of ChatGPT, the network is trained to predict the next word in a text conversation, based on the context of the words that came before it. When a user inputs text into the model, the network processes the input and generates a response that is meant to be a continuation of the conversation. This response is generated by predicting the next word in the sequence and then using that information to generate a full response. The model repeats this process for each subsequent input in the conversation until the conversation reaches a natural end. Do you need Consultancy for AI, contact Voxstar.com, do you need a coding framework to build AI Apps then use Voxstar.ai. Do you need to create content, then use writeplus.co, do you need to showcase your app, then use AIToolboard.com and if you need to concentrate and focus, meditate with music, try out WireVibeApp.com. Thanks…
There are many languages out there to learn for machine learning, like Python, Golang, Java, and JavaScript. I was trying to investigate and find out, by using the browser’s inbuilt JavaScript services. JavaScript is a popular, dynamic, and interpreted programming language that can be used to create web pages and applications. In recent years, it has become a powerful tool in the field of machine learning, as more and more libraries are being developed to make it easier for developers to use machine learning algorithms in their applications. Here is a brief overview of how to use JavaScript with machine learning, along with some of the most popular libraries and tools that you can use.…
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Voxstar AI Automation
Machine learning is a powerful tool for data analysis, allowing us to identify patterns, make predictions, and automate decision-making. The key to success in machine learning is having a structured approach to analyzing a data set. Here is a step-by-step approach to studying any input data set with machine learning.…
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Voxstar AI Automation
Artificial Intelligence, or AI, is a rapidly evolving field that has the potential to change the way we live, work, and interact with the world around us. AI refers to What is Artificial Intelligence?
Artificial Intelligence, or AI, is a rapidly evolving field that has the potential to change the way we live, work, and interact with the world around us. AI refers to the development of computer systems that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems.…
How can AI improve the Job Recruitment process? AI has the potential to revolutionise the recruitment process and make it more efficient, objective, and cost-effective. Here are some ways AI can be used to improve the recruitment job process: CV Screening: AI algorithms can quickly sort through hundreds of resumes to identify the most relevant candidates based on pre-defined criteria such as experience, skills, education, etc. This saves recruiters time and ensures that the best candidates are not overlooked.…
Software automation refers to the use of software to perform tasks without human intervention. This can be achieved using software programs that are specifically designed to automate certain tasks, or by using programming languages to write code that can perform these tasks automatically. Some examples of software automation include: Creating scripts that can automatically perform a series of actions, such as setting up a development environment, deploying code, or running tests. Using tools that can automatically perform tasks, such as building and deploying applications, running tests, or generating reports. Using programming languages to write code that can perform tasks automatically, such as scraping data from websites, processing and analyzing data, or controlling hardware devices.…
Mobile testing tools should enable you to identify objects by native properties. In TestComplete, you have complete access to mobile device sensor data such as GPS, accelerometers, and gyroscopes. Expand coverage by simulating GPS coordinates, Wifi, or switching application languages
Just as with TDD and BDD, it is recommended that performance testing be started as early as possible. It’s much harder to change an application’s architecture once your software has been developed, so you want to ensure it’s done before you start any performance analysis. Within the software quality assurance world, performance testing generally speaking is performed to see how your software responses to load, stress and responsiveness with different data workloads and timings.…
Cypress (www.cypress.io) is the new End and End testing automation tool on the block from Brian Mann, a developer, a tool for Developers and QA Engineers to command the art of testing. I used this tool when it first came and it has improved so much over the years.
You can run Selenium automation tests on a scalable, secure, and reliable cloud-based Selenium grid. Perform automated cross-browser testing across many browsers and ensure that your users get a perfect experience across all browsers, browser versions, and operating systems. This testing is independent of the deployment environments. Thus, it can be done in dev, test, QA or even production environments depending upon the availability of the application in each of these environments. Also, each browser has its browser engine and they have their concept of displaying/rendering the Web content/pages, to test these we are performing testing on different browsers. So that making sure all the functionality and CSS are correct.…
Mobile testing tools should enable you to identify objects by native properties. In TestComplete, you have complete access to mobile device sensor data such as GPS, accelerometers, and gyroscopes. Expand coverage by simulating GPS coordinates, Wifi, or switching application languages. ‘A good unit test suite augments the developer documentation for your app. This helps new developers come up to speed by describing the functionality of specific methods. When coupled with good code coverage, a unit test acts as a safeguard against regressions. Testing coverage should ensure your website and mobile devices are WCAG 2.0 compliant. WCAG 2.0 is a globally accepted standard for web accessibility developed by an international team of experts, the World Wide Web Consortium (W3C). WCAG 2.0 sets out guidelines for organisations to make their websites more accessible for people with disabilities. QA Consultants can help you become compliant. We have the skilled people, software to test compliance for your website. We can work closely with your in-house development teams and outside vendors to correct non-accessible web pages and interfaces.…
At the organisational level, code or script and even the framework should be reusable within cross-functional teams. Your test automation strategy should include the reusability of test scripts if you are using scripts for test automation. This will help to reduce scripting development efforts. In the event that testing does start to lag a sprint behind the development, automated testing can help QA catch up. This is when an external solution can come to the rescue. Having off-site QA engineers develop scripts for past sprints can bring in-house teams together. The importance of that can’t be overstated. When teams are working on the same sprint, they can speak the same language and help improve the testability of the product as it is being built.…
The importance of software testing in the software development process can never be overemphasised. While automated test engineers are in high demand today, it should be known that automated testing has been in existence since the 1990s. Different automation test tools were available in the early days of automated testing, those from Mercury Interactive Corporation were quite prominent. These tools served as solutions to the problems faced with manual testing at the time but they weren’t efficient enough.…
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