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  • Elizabeth Bryant and the Kicktail Women of Southwest Airlines

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    NVIDIA is one of the most powerful graphics processors in the world. It has dominated the PC gaming industry for over a decade. Its market share is unbeatable, and its success has become an inspiration for many other companies in the industry. With its GPUs, NVIDIA has set the bar for deep learning. Today, deep learning has become one of the most dominant trends in artificial intelligence (AI). As a result, many companies are rushing to adopt the technology to build the next generation of AI-driven applications. However, N

    Problem Statement of the Case Study

    In today’s digital age, Deep Learning (DL) is the new black in the world of Artificial Intelligence (AI). There’s a big deal for companies to figure out how to leverage this new AI-led revolution and win. However, the battle for Deep Learning leadership has been tough for many years. There are two main players in the AI race — Google and NVIDIA. Google, an American tech giant, has been at the forefront of Deep Learning since its inception. It’s Google’s TensorFlow

    BCG Matrix Analysis

    NVIDIA is now a leader in the deep learning revolution, and it has a head start in terms of hardware, inference technology, and data science capabilities. In this matrix analysis published by Boston Consulting Group (BCG), NVIDIA takes the lead position with the top score of 2.34. I explain that NVIDIA is the first company to commercially deploy the full NVIDIA Neural Network Accelerator (NNA) system on a production system, which allows for advanced deep learning inference tasks. I then explain that the technology

    SWOT Analysis

    NVIDIA is undisputedly the top winner of the deep learning battle, but this should not be viewed as a straightforward win. It has a unique approach to deep learning technology that has enabled it to win the race. NVIDIA’s deep learning technology is not a one-hit wonder. Bonuses There’s a plethora of technology that NVIDIA has been contributing to the deep learning ecosystem. Its Tensor Processing Unit (TPU) is a powerful system that delivers deep learning workloads in real-time, which is critical to