シャドーイング練習: What's Next with AWS - Watch the highlights in 7 minutes | Amazon Web Services - YouTubeで英語スピーキングを学ぶ
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At What's Next with AWS,
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At What's Next with AWS,
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we shared how agentic AI is changing what work can be for individuals,
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for businesses, and for builders.
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Now, here's the heart of it.
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The real opportunity isn't bolting agents into old workflows.
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It's rethinking work around what agents make possible.
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First, we unveiled a whole new version of Amazon Quick that changes how you work.
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It's an AI assistant that connects to all the systems you use,
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like email, Slack, Jira, and Salesforce.
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It builds a living understanding of your priorities,
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your team, and how you like to work.
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And it doesn't just answer questions.
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It can actually take action on your behalf.
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We also shared a new family of agentic solutions,
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Amazon Connect, bringing agentic AI into key business functions like customer service,
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healthcare, hiring, and supply chain management.
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And we built these agent-native solutions from the ground up,
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drawing on Amazon's own experience operating at scale.
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And finally, big news here,
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we announced our deepening partnership with OpenAI.
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You could access now the latest OpenAI Frontier models on AWS.
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Codex will also be available on AWS.
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And we announced for the first time Amazon Bedrock managed agents powered by OpenAI,
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all running on the AWS infrastructure you already know and trust.
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Together, these announcements show how we're helping customers turn agentic AI from possibility into practical value.
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Here are some of the highlights from the event.
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Across almost every single industry and every customer I talk to,
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agents are absolutely exploding and changing the way people do business.
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And I see many more opportunities for job growth in new areas and for new capabilities,
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frankly, than we have before.
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And I think AI and agentic development has completely transformed what is possible in the software development world.
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You can both do things faster,
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but you can also kind of change those business processes for the better.
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In an agentic world, it's not the UI that's differentiating,
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it's the workflows, it's the data behind it.
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The incumbents don't have to be legacy.
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QUIC is exactly this.
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And frankly, I've used a lot of AI productivity tools and tested them.
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This one is by far the biggest game changer for me personally.
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Today, we are launching new technology that will change how work gets done.
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The local files, calendar, email,
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other apps, all coming together with Quik.
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Quik connects the dots between people, projects, decisions, and actions.
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So what we did was build Quik from the ground up.
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It knows you.
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It knows the full context of the people you work with take what we've learned in our business
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and in many cases we sort of outgrow off-the-shelf applications
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and we end up building our own applications to run our business usually around scale
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or complexity pace of innovation and surely there's an opportunity for us to take
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that learning take those capabilities
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and put them in the hands of aws customers we are
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going to expand the amazon connect name to be a family amazon connect starts to stand for agentic business solutions.
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I mean this is not about data processing.
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It's not about delivering you another pretty dashboard.
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It's really about getting at high quality decisions at the speed of today's business.
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Moving planners from reactive to strategic decision making,
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getting to the point where they're actually managing the business versus reacting to the escalations and the external
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So I'm a supply chain planner,
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and I was just handed one of our hardest challenges.
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I need to prepare for a new product launch with no sales history.
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In the time it takes to get a coffee,
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I have a demand plan that previously would have taken me weeks.
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Plan, decide, act, learn.
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That's the Amazon Connect decisions.
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The science behind the application is impressive.
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We've directed agents to review the job description,
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identify competencies, create interview questions,
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and build an assessment rubric for this role.
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Talent has completed a review and generated a full plan.
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Talent takes Amazon's decades of hiring expertise and puts it to work for every company.
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You know, this is day zero for us.
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We are on a journey now to deliver customers agentic transformation that is intuitive and that learns with them.
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And so you can expect us to continue to expand the capabilities here.
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We're really just finding a place to start.
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And this is something that we're invested in for a long time.
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And I'm really excited to have customers that are interested in this journey
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and are willing to come with us and actually look at reinventing the future together.
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And so we're just at the beginning.
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to see AI lower the barrier to creating new products,
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doing important scientific work, bringing new ideas into the world, and much more.
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But to make that real for companies and particularly large enterprises,
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great models are only one part of the answer.
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These systems need to run reliably and robustly.
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They need to be secure,
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they need to scale, and they need to fit in the environments where companies already run their businesses.
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That's what makes this partnership with AWS so important.
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We are co-developing an agent platform from the ground up,
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deeply integrated with AWS services and powered by OpenAI's most advanced models
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and tools so that customers can build and run powerful agents in their own environment without worrying about the underlying plumbing.
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From the very early days of AWS,
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customers have asked us, how can we get OpenAI models inside of AWS?
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That's really what they want.
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And so this partnership is bringing those two together and building new capabilities.
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And it's a partnership that I'm excited about will deliver for customers for decades to come.
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Bringing the power of GBT 5.5,
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our APIs, codecs, all on Amazon Bedrock allows our customers to focus on what matters.
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This is what our customers have been asking us for for a really long time.
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Their production applications run in AWS,
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their data is in AWS,
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they trust the security of AWS and kind of building your application where your models
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and your data and everything and kind of lives in the same place inside of your secure environment.
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It's one of the things that I think drives innovation.
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It's something that customers have been looking forward to for a really long time.
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Bedrock Managed Agents allows customers to take OpenAI's Frontier Harness
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and models and combine them together in an agent that lives natively within AWS.
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Giving this rich set of capabilities out to a wide set of customers where they can really go unlock their creativity,
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stop doing kind of the monotonous tasks and just go build is something that is,
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it's kind of what gets me up in the morning.
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It's what people at AWS get excited about.
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And this partnership I think is just further turbocharging what we're able to let customers do.
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That was What's Next with AWS.
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Take a closer look at what we've launched and how Agentec AI is changing how business gets done.
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Thank you and we can't wait to see what you build next with AWS.
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Thank you.
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このレッスンでは、AWSの最新技術とその影響についての内容を学び、リスニングスキルを向上させるための練習を行います。特に、エージェントAIがどのようにビジネスプロセスを変革し、仕事を効率化するかに焦点を当てます。この内容は、IELTSスピーキング対策や、YouTubeで英語学習を行う際にとても役立つスピーキング練習の材料となります。
重要な語彙とフレーズ
- エージェントAI - 人間のようにタスクを実行するためのAI技術
- ワークフロー - 仕事の流れやプロセス
- カスタマーサービス - 顧客対応の業務
- ビジネス機能 - 業務のための特定の機能
- 顧客体験 - 顧客との接点での体験
- テクノロジー - 技術や手段
- 生産性ツール - 仕事の効率を高めるためのツール
- プロジェクト - 計画的な作業や課題
練習のためのヒント
このビデオは速いスピードで話されていますが、英語シャドーイングを行うことで、リスニングとスピーキング能力を同時に鍛えることができます。シャドースピーチを実践する際は、次のポイントに注意してください：
- 最初はスローモーションで再生し、言葉をゆっくりと繰り返す習慣を身につけましょう。
- 特にエージェントAIやビジネス用語に注目し、正しい発音をマスターしてください。
- 音声が速くなる場合は、文を短分割にして、1文ずつ練習するのが効果的です。
- スピーキング時には、感情を込めて話すことで、より自然な表現ができるようになります。
この練習を通じて、shadowspeakの技術を高め、流暢さを向上させましょう。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。