Articles

  • 3 weeks ago | startupnation.com | Hazel Raoult |byHazel Raoult

    For startups, selecting the right tools in the tech stack is important not only for boosting performance but also for achieving crucial business goals. While you can cover the basics by investing in a payroll management tool or a user-friendly communication solution, implementing a powerful tool to map your daily tasks with your company goals and objectives will help you stay on top of your game.

  • 3 weeks ago | cxm.co.uk | Hazel Raoult

    Objectives and key results (OKRs) are essentially a goal-setting framework. In companies like Google and LinkedIn, teams and individuals have used this framework to set challenging, ambitious goals with measurable results. OKRs consist of an ‘objective’ that is a clearly defined goal. And ‘key results’, which are specific measures used to track the achievement of the objective.

  • Jan 7, 2025 | trainingindustry.com | Hazel Raoult

    A network in computing terms refers to a collection of computers, servers, mainframes, network devices, peripherals or other devices connected to one another to allow the sharing of data. An effective network serves as the backbone of operations for both small and large organizations, enabling communication, data transfer and connectivity among users and devices across locations.

  • Dec 4, 2024 | tdan.com | Hazel Raoult

    TheInternet of Things (IoT) technology has taken the world by storm. From smarthomes and wearables to connected cars and fitness trackers, IoT devices arebecoming prevalent across various industries and aspects of daily life. There are approximately 15.14 billion connected IoT devices in 2023, and this number is expected to grow to around 29.42 billion by 2030. While this rapid growth and connectivity offer numerous benefits, they also bring severe security challenges.

  • Dec 4, 2024 | tdan.com | Hazel Raoult

    Imagine this: a generative model working silently in a data center, processing information at lightning speed. Its job might be done for now, but the neurons inside its deep learning layers are still firing. What happens during those quiet moments? What does a generative model “dream” of when it isn’t under human supervision? Generative models are built on complex architectures such as GANs (Generative Adversarial Networks), transformers, or diffusion models.

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