शैडोइंग अभ्यास: What's Next with AWS - Watch the highlights in 7 minutes | Amazon Web Services - YouTube के साथ अंग्रेजी बोलना सीखें
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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.
ऐप डाउनलोड करें
आपके बोले हर वाक्य के लिए AI स्कोरिंग
TRENDING
लोकप्रिय
इस पाठ के बारे में
इस वीडियो में, हम एआई और व्यापार प्रक्रियाओं के बीच के संबंध के बारे में जानेंगे। इस पाठ के दौरान, आप जानेंगे कि कैसे Amazon Quick, एक एआई सहायक, आपके कार्य करने के तरीके को बदल सकता है। आप यह समझेंगे कि कैसे एआई विभिन्न उद्योगों में कार्य करने के तरीकों को विकसित कर रहा है और नए अवसरों को जन्म दे रहा है। हम इस पाठ में महत्वपूर्ण शब्दावली और वाक्यांशों पर भी ध्यान देंगे, जिन्हें आप अपनी अंग्रेजी बोलने के अभ्यास में शामिल कर सकते हैं।
मुख्य शब्दावली और वाक्यांश
- एजेंटिक AI - कार्यों को सरल बनाने वाली कृत्रिम बुद्धिमत्ता।
- कार्यप्रवाह - विभिन्न कार्यों का क्रम, जो एक प्रक्रिया में जुड़े होते हैं।
- Amazon Quick - एक नया एआई सहायक जो विभिन्न एप्लिकेशनों को जोड़ता है।
- ग्राहक सेवा - व्यवसाय द्वारा ग्राहकों को दी जाने वाली सहायता।
- प्रक्रिया विकास - प्रक्रियाओं के सुधार या पुनर्गठन की प्रक्रिया।
- नई क्षमताएं - नवीनतम तकनीकों और उपकरणों के द्वारा अर्जितSkills।
- व्यापार संसाधन - व्यवसाय को चलाने के लिए आवश्यक उपकरण और सामग्री।
अभ्यास टिप्स
इस वीडियो की स्पीड और टोन के अनुसार अभ्यास करते समय कुछ बातें ध्यान में रखें:
- वीडियो को ध्यान से सुनें और प्रत्येक वाक्य के बाद रुकें। यह सुनिश्चित करेगा कि आप सही उच्चारण कर रहे हैं।
- शुरुआत में, आप धीरे-धीरे बोलने की कोशिश करें। जैसे-जैसे आपकी स्पष्टता में सुधार होगा, आप गति बढ़ा सकते हैं।
- shadowspeaks तकनीक का उपयोग करें: जब आप वीडियो देखते हैं, तो उसके बोलने वाले से साथ-साथ बोलने का प्रयास करें। यह अंग्रेजी बोलने का अभ्यास करने का एक प्रभावी तरीका है।
- वीडियो के प्रमुख शब्दावली को नियमित रूप से दोहराएं। इससे आपकी शब्दावली में सुधार होगा।
- अंग्रेजी बोलने का अभ्यास करते समय अपनी आवाज़ की टोन और मनोदशा पर ध्यान दें। वीडियो की टोन को मिरर करना सहायक होगा।
याद रखें, यूट्यूब से अंग्रेजी सीखें समय और अभ्यास की मांग करता है। लगातार प्रयास करते रहें और अपनी प्रगति को ट्रैक करें। shadow speak की प्रथा आपके अंग्रेजी बोलने के कौशल में महत्वपूर्ण सुधार लाएगी।
शैडोइंग तकनीक क्या है?
शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।
☕ हमें एक कॉफी पिलाएं
आपके समर्थन के कारण ShadowingEnglish 100% मुफ्त है। सर्वर और AI की लागत अधिक है — आपकी कॉफी हमें आगे बढ़ने में मदद करती है! 🙏