쉐도잉 연습: What's Next with AWS - Watch the highlights in 7 minutes | Amazon Web Services - YouTube로 영어 말하기 배우기
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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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이번 수업에 대해
이번 세션에서는 Amazon Web Services(AWS)에 대한 새롭고 혁신적인 기술 발표를 통해 영어 듣기와 말하기 연습을 진행합니다. 이 비디오에서는 AI와 관련한 관심사와 작업 방식 변화에 대해 설명하며, 특히 ‘Quik’라는 새로운 기술에 대해 다루고 있습니다. 여러분은 이 영상을 통해 최신 기술의 발전을 따라가면서 영어 실력을 향상시키고, 비즈니스 및 기술 관련 주제에 대한 이해도를 높일 수 있습니다.
주요 어휘 및 구문
- agentic AI: 에이전틱 AI
- workflow: 작업 흐름
- assistive technology: 보조 기술
- customer service: 고객 서비스
- job growth: 일자리 성장
- business process: 비즈니스 프로세스
- innovation: 혁신
- cloud infrastructure: 클라우드 인프라
연습 팁
이 비디오의 속도와 톤을 감안할 때, 영어 쉐도잉을 통해 실력을 개선하는 것이 좋습니다. 문장을 반복하며 따라 해보세요. 특히, shadow speech 를 연습할 때는 발음에 주의하고 이해하기 몰두하는 것이 중요합니다. 또한, 비디오의 내용이 기술적이기 때문에 처음에는 이해하기 힘들 수 있지만, 여러 번 반복하며 몸으로 익히면 훨씬 더 자연스럽게 말할 수 있게 됩니다. 유튜브 영어 공부를 할 때는 텍스트와 함께 보며 shadowspeaks를 반복해 연습하면 좋습니다. 이렇게 하면 비즈니스 영어의 맥락에서 기술적 용어를 사용하며 의사소통 능력을 향상시킬 수 있습니다.
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