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アウトプットしよう これはあなたの成長の物語
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真吾 吉田
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2020.03.28 JAWS DAYS 2020 オンラインの講演資料です。
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With AWS, companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100 percent API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session, we talk about some key concepts and design patterns for continuous deployment and continuous integration, two elements of lean development of applications and infrastructures.
Continuous Integration and Deployment Best Practices on AWS (ARC307) | AWS re...
Continuous Integration and Deployment Best Practices on AWS (ARC307) | AWS re...
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Intro to "Asgard"
Intro to "Asgard"
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June 2017 Denver AWS Users' Group intro slides
June 2017 Denver AWS Users' Group intro slides
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AWSKRUGの現状 (Sanguk Park) - JAWS Days 2017
AWSKRUG - AWS한국사용자모임
【クラウド上の最新ディープラーニング開発環境を体験しよう!】簡単に人工知能アプリを作る為のAmazon SageMakerクラウド・ハンズオン(https://lab-kadokawa50.peatix.com/ )で使用した資料です。 AWS上での機械学習システムの構築とSageMakerの概要を説明しています。
2018512 AWS上での機械学習システムの構築とSageMaker
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Richard Cole of Amazon Gives Lightning Tallk at BigDataCamp
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How to build unified Batch & Streaming Pipelines with Apache Beam and Dataflow
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OpenStack and serverless - long shot or sure thing
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Surviving Hadoop on AWS
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AWS for Java Developers in 2019 - AWS Summit Sydney
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Startup Best Practices on AWS
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Jax WS JAX RS and Java Web Apps with WSO2 Platform
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AWS for Java Developers in 2019 - AWS Summit Sydney
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2018.3.20 @ AliEaters #2 で発表した資料です。
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Kubernetes on Alibaba Cloud
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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
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アウトプットしよう これはあなたの成長の物語
1.
株式会社サイダス 取締役CTO 吉⽥真吾 @yoshidashingo
2.
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Oracle SA p 113 / pAWS n ( ) CTO p SaaS ( ) pAWS DevOps n pAWS (2012 ) pAWS Samurai 2014 / 2016 pAWS Serverless Hero
4.
CYDAS @yoshidashingo CTO
5.
JAWS-UG 10 4 https://www.publickey1.jp/blog/10/amazon_5.htmlhttps://atnd.org/events/3102
6.
JAWS-UGは、AWSのユーザーグループです。 全国各地で、有志メンバー(運営)が勉強会を開催しています。
7.
JAWS-UG JAWS-UG 6 http://jaws-ug.jp/calendar/
8.
7 https://www.amazon.co.jp/dp/453405677X/
9.
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10.
9 https://www.amazon.co.jp/dp/453405677X/
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20.
19https://www.amazon.co.jp/dp/4532321433/
21.
20 https://www.gallup.com/
22.
21 https://www.gallup.com/
23.
22 https://www.gallup.com/
24.
23
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26.
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28.
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29.
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30.
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31.
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32.
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33.
#AWS 32 https://aws.amazon.com/jp/campaigns/manga/ © 2020, Amazon
Web Services, Inc. or its a liates. All Rights Reserved.
34.
#AWS 33 https://aws.amazon.com/jp/campaigns/manga/ © 2020, Amazon
Web Services, Inc. or its a liates. All Rights Reserved.
35.
#AWS 34 https://aws.amazon.com/jp/campaigns/manga/ © 2020, Amazon
Web Services, Inc. or its a liates. All Rights Reserved.
36.
#AWS 35 https://aws.amazon.com/jp/campaigns/manga/ © 2020, Amazon
Web Services, Inc. or its a liates. All Rights Reserved.
37.
36