Kenneth Yuan - Coding in the Clouds, Unveiling the World of YouTube Ads at Google.pptx

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Kenneth Yuan shares that working as a software engineer at Google, particularly in the realm of YouTube Ads, has been an exhilarating journey that seamlessly blends technological innovation with the dynamic landscape of digital advertising. My tenure at Google has not only enriched my technical acumen but has also exposed me to the intricacies of shaping the future of online advertising through one of the world's most influential platforms.

Engineering

Kenneth Yuan shares that working as a software engineer at Google,
particularly in the realm of YouTube Ads, has been an exhilarating
journey that seamlessly blends technological innovation with the
dynamic landscape of digital advertising. My tenure at Google has not
only enriched my technical acumen but has also exposed me to the
intricacies of shaping the future of online advertising through one of
the world's most influential platforms.

As a software engineer, my
role was centered around
the development and
enhancement of systems
that power YouTube Ads—a
domain that plays a pivotal
role in shaping the digital
marketing landscape.

The heartbeat of YouTube
Ads lies in its
recommendation and
targeting systems. As a
software engineer, I had
the privilege of
contributing to the
refinement of these
systems, constantly seeking
ways to enhance user
engagement while ensuring
that advertisers could
effectively reach their
target audience.

Kenneth Yuan says that one of the highlights of my journey was
the opportunity to work on a project aimed at optimizing ad
delivery based on user preferences. The challenge was to leverage
machine learning models to understand user behavior and serve
ads that resonated with their interests.

Kenneth Yuan - Coding in the Clouds, Unveiling the World of YouTube Ads at Google.pptx

Kenneth Yuan shares as a software engineer at Google, my role extends far beyond lines of code and algorithms; it's about creating experiences that inspire, engage, and transform the lives of people worldwide. One of the most impactful avenues for achieving this is through YouTube ads, a platform that reaches billions and has the power to influence, educate, and entertain. In the dynamic realm of technology, my mission is to not only craft innovative solutions but also to weave a narrative that resonates with diverse audiences, leaving an indelible mark on their minds.

Tech with Purpose, A Google Engineer's Journey At Google - Kenneth Yuan

KennethYuan2

broken image Kenneth Yuan shares as a software engineer at Google, my role extends far beyond lines of code and algorithms; it's about creating experiences that inspire, engage, and transform the lives of people worldwide. One of the most impactful avenues for achieving this is through YouTube ads, a platform that reaches billions and has the power to influence, educate, and entertain. In the dynamic realm of technology, my mission is to not only craft innovative solutions but also to weave a narrative that resonates with diverse audiences, leaving an indelible mark on their minds.

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Businesses are constantly looking for novel ways to engage their target audience in a world where the digital landscape is constantly changing and consumer attention is a finite resource. The importance of YouTube advertisements has been more prominent in this dynamic effort, giving marketers an excellent platform to forge close bonds with their audience in previously unheard-of ways. YouTube commercials have transformed the advertising landscape by giving businesses a platform to highlight their goods, tell stories and leave a lasting impression. This is thanks to their broad reach, creative diversity and highly-targeted capabilities.

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Running Head: DIAGNOSING THE CHANGE DIAGNOSING THE CHANGE Diagnosing the Change Within Google and YouTube Using the Star Model Abstract This paper uses the star model to diagnose how Google and YouTube execute their change mission. Both websites are under the Google Inc. leadership, whose goal is to provide free useful information, while profiting from online advertising. Google Inc. supports its strategy by investing in research and development, outlining a clear mission statement for employees, and rewarding network members by sharing advertising revenue. The paper also covers Google Inc.’s SWOT analysis. It is a leader in the web search and video sharing industry, and makes most of its profit from the growing internet advertising business. However, Google Inc. is facing steep competition from other companies in the industry, and some of its attempts to explore other ventures have failed. Introduction The internet continues to grow exponentially as more people from around the world gain access. One of the most interesting things about the internet is that it is very democratic. Anyone can purchase a web page with very little capital and share their opinions. Another reason for the growth in internet usage is that there are more platforms with internet usage capabilities, such as cell phones, and motor vehicles. Advertisers cannot ignore this growth in internet usage. In fact, the revenue from internet advertising is catching up with the revenue of TV advertising. This creates opportunities for web-based companies to increase their profits. Google and YouTube are profiting from this shift in advertising by adopting advertising based platforms. This paper covers their strategies, people and practices, structure, rewards system, and SWOT analysis. Strategy Google and YouTube are under the same leadership, with very similar strategies to success. As mentioned in previous papers Google and YouTube lacked direction when both companies began. Under new leadership, profitability was added to the equation, using an advertising model. The new leadership saw both companies as game changers due to the competitive advantage of the growth in internet use, the popularity of search engine use, and the increasing power of video sharing. Both companies were/are leaders in their sectors. Google Inc’s leaders had a clear vision for both companies, to provide free and useful information/products, while profiting from advertising. This way, users of the free products and information can advertise Google and YouTube, reducing the need for a widespread advertising campaign. For example, college students learn about various topics watching YouTube videos, while drivers all over the country benefit from Google maps. When those users talk about the benefits of using these features, Google Inc. gets free advertising, while profiting from businesses advertising on both websites. People and Practices Its ...

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This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks (CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations. When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10 and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing accuracy improvements over previous techniques. The results indicate that the combination of the volumetric input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating adversary training.

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Immunizing Image Classifiers Against Localized Adversary Attacks

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2. Kenneth Yuan shares that working as a software engineer at Google, particularly in the realm of YouTube Ads, has been an exhilarating journey that seamlessly blends technological innovation with the dynamic landscape of digital advertising. My tenure at Google has not only enriched my technical acumen but has also exposed me to the intricacies of shaping the future of online advertising through one of the world's most influential platforms.

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