正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

One file system wears two hats. 🎩📁👒 Amazon FSx for OpenZFS now supports Amazon S3 access. Connect to applications and services that work with S3 while your data stays put — time to rock both looks. #AWS 👉

Amazon Web Services

2,232,464 subscribers

11,989 次观看 • 1 年前 •via X (Twitter)

科学技术 #AWS

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Sync your Stripe data with *more* data storage services. Stripe Data Pipeline now supports Amazon Web Services S3, Microsoft Azure Blob Storage, and Google Cloud Storage (in addition to Amazon Web Services Redshift and @snowflakedb). Centralize reporting with no code:

Sync your Stripe data with more data storage services. Stripe Data Pipeline now supports Amazon Web Services S3, Microsoft Azure Blob Storage, and Google Cloud Storage (in addition to Amazon Web Services Redshift and @snowflakedb). Centralize reporting with no code:

Stripe

13,489 次观看 • 1 年前

🔑 One login to streamline your AWS learning experience! Get your AWS Builder ID to access 600+ free courses, Amazon Q Developer, and connect with fellow builders! 👉 Claim your personalized URL:

🔑 One login to streamline your AWS learning experience! Get your AWS Builder ID to access 600+ free courses, Amazon Q Developer, and connect with fellow builders! 👉 Claim your personalized URL:

Amazon Web Services

11,398 次观看 • 1 年前

Meet your new #generativeAI assistant designed for work that can be tailored to your business. 💡 With Amazon Q, you can solve problems, generate content, get insights from data, build faster on #AWS, while helping keep your data private & secure. ☁️ 🔗

Meet your new #generativeAI assistant designed for work that can be tailored to your business. 💡 With Amazon Q, you can solve problems, generate content, get insights from data, build faster on #AWS, while helping keep your data private & secure. ☁️ 🔗

Amazon Web Services

119,281 次观看 • 2 年前

Mount Archil's elastic POSIX file system in your E2B sandbox for high-performance, shared access to S3, R2, and GCS. One use case is spinning up large fleets of parallel agents on large datasets without bottlenecks. See how to get started below.

Mount Archil's elastic POSIX file system in your E2B sandbox for high-performance, shared access to S3, R2, and GCS. One use case is spinning up large fleets of parallel agents on large datasets without bottlenecks. See how to get started below.

Vasek Mlejnsky

10,572 次观看 • 1 个月前

Meet your Fantasy AI Assistant on NFL Pro! Powered by Amazon Web Services & Next Gen Stats, with access to real-time player news and depth charts, the AI agent delivers data-driven fantasy football advice to help you make smarter lineup decisions. 👉

Meet your Fantasy AI Assistant on NFL Pro! Powered by Amazon Web Services & Next Gen Stats, with access to real-time player news and depth charts, the AI agent delivers data-driven fantasy football advice to help you make smarter lineup decisions. 👉

Next Gen Stats

171,222 次观看 • 8 个月前

⚡️We are excited to announce that our new no-code Enterprise Platform is NOW available in private beta! As RAG apps advance from prototype to production we’ve been overwhelmed by requests for an enterprise grade solution to provide these applications with the data they need. Designed to make it easy to get your data #RAGready, our Platform can preprocess more than 25 file types and soon will be fully #multimodal, also able to ingest audio, video and image files. We ship with a baseline suite of source connectors, including Amazon Web Services S3, Microsoft Azure Blob Storage, OneDrive, SFTP, Databricks Delta Table, Google Drive, Salesforce, Elastic, OpenSearch, and Google Cloud storage with many more fast following. Platform transforms your documents into a standardized JSON schema, broken down into semantically coherent elements allowing you to reconstruct your document in the manner most useful to you. Want only the narrative text but not the headers and footers? This is entirely configurable through the UI. Additionally, we generate more than 30 types of metadata for each element to make it easy to curate the data being written downstream and to support metadata filtering during retrieval. Smart chunking and the ability to choose from a range of embedding models are in from launch, delivering a turnkey solution for chunk and embedding experimentation. As for destination connectors, we've got that covered too, with Amazon Web Services S3, Pinecone, Chroma , Weaviate AI Database, Google Cloud storage, MongoDB, Microsoft Azure cognitive search, PostgreSQL, Elastic, OpenSearch, and Databricks Delta Table. And of course, all of this can be scheduled to keep your data continuously hydrated. The private-beta is live today! Sign-up to get access and come build the future of LLM data foundations with us: 🚀 #ETLforLLMs #AI #DataPreprocessing #DataScience #DataTransformation #LLMs #ETL #ML #PreppingData #MachineLearning #RAG #Engineer #Unstructured #Unstructuredio #RetrievalAugmentedGeneration #multimodal #AIJobs

⚡️We are excited to announce that our new no-code Enterprise Platform is NOW available in private beta! As RAG apps advance from prototype to production we’ve been overwhelmed by requests for an enterprise grade solution to provide these applications with the data they need. Designed to make it easy to get your data #RAGready, our Platform can preprocess more than 25 file types and soon will be fully #multimodal, also able to ingest audio, video and image files. We ship with a baseline suite of source connectors, including Amazon Web Services S3, Microsoft Azure Blob Storage, OneDrive, SFTP, Databricks Delta Table, Google Drive, Salesforce, Elastic, OpenSearch, and Google Cloud storage with many more fast following. Platform transforms your documents into a standardized JSON schema, broken down into semantically coherent elements allowing you to reconstruct your document in the manner most useful to you. Want only the narrative text but not the headers and footers? This is entirely configurable through the UI. Additionally, we generate more than 30 types of metadata for each element to make it easy to curate the data being written downstream and to support metadata filtering during retrieval. Smart chunking and the ability to choose from a range of embedding models are in from launch, delivering a turnkey solution for chunk and embedding experimentation. As for destination connectors, we've got that covered too, with Amazon Web Services S3, Pinecone, Chroma , Weaviate AI Database, Google Cloud storage, MongoDB, Microsoft Azure cognitive search, PostgreSQL, Elastic, OpenSearch, and Databricks Delta Table. And of course, all of this can be scheduled to keep your data continuously hydrated. The private-beta is live today! Sign-up to get access and come build the future of LLM data foundations with us: 🚀 #ETLforLLMs #AI #DataPreprocessing #DataScience #DataTransformation #LLMs #ETL #ML #PreppingData #MachineLearning #RAG #Engineer #Unstructured #Unstructuredio #RetrievalAugmentedGeneration #multimodal #AIJobs

Unstructured

21,874 次观看 • 2 年前

New short course on Serverless LLM apps with Amazon Bedrock, taught by Amazon Web Services' Mike G Chambers! A serverless architecture enables you to quickly deploy your applications without needing to set up and manage compute servers to run your applications on, the maintenance of which can be another full-time job. In this course, you’ll learn how to do this by using an event-driven architecture to build complex AI workflows. Mike illustrate these concepts by building a cool application that automatically detects incoming customer inquiries, transcribes them with ASR (automatic speech recognition), summarizes them with an LLM using Bedrock, and deploys serverless with AWS Lambda. I hope this course makes it much easier for you to build and deploy LLM applications requiring multi-step AI workflows. Please sign up here:

New short course on Serverless LLM apps with Amazon Bedrock, taught by Amazon Web Services' Mike G Chambers! A serverless architecture enables you to quickly deploy your applications without needing to set up and manage compute servers to run your applications on, the maintenance of which can be another full-time job. In this course, you’ll learn how to do this by using an event-driven architecture to build complex AI workflows. Mike illustrate these concepts by building a cool application that automatically detects incoming customer inquiries, transcribes them with ASR (automatic speech recognition), summarizes them with an LLM using Bedrock, and deploys serverless with AWS Lambda. I hope this course makes it much easier for you to build and deploy LLM applications requiring multi-step AI workflows. Please sign up here:

Andrew Ng

108,171 次观看 • 2 年前

Today, we're excited to officially launch the Hedra Ambassador Program. You'll have full access to our creative tools, early looks at new features as they develop, give feedback directly to the team, and connect with fellow creators, plus resources to support your work and earn from referrals. Applications are now open.

Today, we're excited to officially launch the Hedra Ambassador Program. You'll have full access to our creative tools, early looks at new features as they develop, give feedback directly to the team, and connect with fellow creators, plus resources to support your work and earn from referrals. Applications are now open.

Hedra

972,484 次观看 • 6 个月前

🚨 70% of the Irish population had their biometric data collected ILLEGALLY by the State through the Public Services Card. Now the same system is being expanded to link your online identity. Digital ID isn’t about protecting children or anyone else….it’s about control. MyGovID relies on a system that: •has no proper legal footing •has already broken data protection law •is unreliable and insecure One breach = your identity, accounts, and services all at risk. Demand: voluntary participation, lawful biometric processing, independent audits, offline alternatives. File a complaint with the Data Protection Commission to delete your biometric data. Freedom becomes conditional when identity and access are fused. #pushbackNOW

🚨 70% of the Irish population had their biometric data collected ILLEGALLY by the State through the Public Services Card. Now the same system is being expanded to link your online identity. Digital ID isn’t about protecting children or anyone else….it’s about control. MyGovID relies on a system that: •has no proper legal footing •has already broken data protection law •is unreliable and insecure One breach = your identity, accounts, and services all at risk. Demand: voluntary participation, lawful biometric processing, independent audits, offline alternatives. File a complaint with the Data Protection Commission to delete your biometric data. Freedom becomes conditional when identity and access are fused. #pushbackNOW

Melissa Ciummei

46,271 次观看 • 6 个月前

We've all experienced how consumer AI can help in our personal lives, but that same experience hasn't been available at work. Most enterprise data is siloed, consumer AI can't access your work tools, and many orgs won't allow it due to security concerns. We built Amazon Quick Suite to solve those problems. It’s an agentic AI app that acts as your AI teammate at work – connecting to your business data and apps, and letting you interact with AI agents that can find insights, conduct research, and even take actions across your systems – with the security and privacy enterprises need. Quick works across your existing ecosystem, from emails to Salesforce to Slack to AWS services. You can create custom agents to draft content in your personal style, use Quick Research for in-depth analysis, or set up Quick Flow to automate tasks. And most importantly, your interactions never train the underlying models. We've been testing with Amazon employees and select customers and early results show just how transformational Quick is… cutting analysis time from months to days, and turning week-long tasks into minutes. This is an exciting moment and we're just getting started. Quick is available now, so have at it!

We've all experienced how consumer AI can help in our personal lives, but that same experience hasn't been available at work. Most enterprise data is siloed, consumer AI can't access your work tools, and many orgs won't allow it due to security concerns. We built Amazon Quick Suite to solve those problems. It’s an agentic AI app that acts as your AI teammate at work – connecting to your business data and apps, and letting you interact with AI agents that can find insights, conduct research, and even take actions across your systems – with the security and privacy enterprises need. Quick works across your existing ecosystem, from emails to Salesforce to Slack to AWS services. You can create custom agents to draft content in your personal style, use Quick Research for in-depth analysis, or set up Quick Flow to automate tasks. And most importantly, your interactions never train the underlying models. We've been testing with Amazon employees and select customers and early results show just how transformational Quick is… cutting analysis time from months to days, and turning week-long tasks into minutes. This is an exciting moment and we're just getting started. Quick is available now, so have at it!

Andy Jassy

48,762 次观看 • 9 个月前

File systems are quickly becoming a core abstraction for AI agents for knowledge work. By having access to a file system, agents can effectively manage context, process any amount of information, and create new files and data. The challenge is that local file systems are inherently limited in size, lack governance capabilities, and are inherently personal -not collaborative- in nature. Now, with the Box API and LangChain's deepagent SDK, you can bring the full power of a secure, collaborative cloud file system to your AI agents. Repo ↓

File systems are quickly becoming a core abstraction for AI agents for knowledge work. By having access to a file system, agents can effectively manage context, process any amount of information, and create new files and data. The challenge is that local file systems are inherently limited in size, lack governance capabilities, and are inherently personal -not collaborative- in nature. Now, with the Box API and LangChain's deepagent SDK, you can bring the full power of a secure, collaborative cloud file system to your AI agents. Repo ↓

Box

227,348 次观看 • 5 个月前

.Amazon Web Services is helping The Ocean Cleanup find and remove plastic in the Great Pacific Garbage Patch, thanks to AI and cloud computing. Here's the tech behind the mission. ⬇️ Machine learning models analyze satellite, drone, and sensor data to map where plastic accumulates. Then, our systems help to predict where debris will drift next and optimize cleanup routes in near real-time. AWS also powers data-driven maps that track how plastics move through rivers—accelerating the deployment of river plastic interceptors. The goal? Remove 90% of floating plastic by 2040. The Ocean Cleanup has already removed 64 million pounds of trash worldwide. AWS tech helps them work even faster and smarter.

.Amazon Web Services is helping The Ocean Cleanup find and remove plastic in the Great Pacific Garbage Patch, thanks to AI and cloud computing. Here's the tech behind the mission. ⬇️ Machine learning models analyze satellite, drone, and sensor data to map where plastic accumulates. Then, our systems help to predict where debris will drift next and optimize cleanup routes in near real-time. AWS also powers data-driven maps that track how plastics move through rivers—accelerating the deployment of river plastic interceptors. The goal? Remove 90% of floating plastic by 2040. The Ocean Cleanup has already removed 64 million pounds of trash worldwide. AWS tech helps them work even faster and smarter.

Amazon

34,109 次观看 • 3 个月前

Our retired data center hardware has a second life. The Amazon Web Services reverse logistics hubs use circular economy principles to test, repair, and reuse demanufactured server racks, all while maintaining the highest level of data security. One of our reverse logistics operations managers says it well, “The components we repair are small, but they have the potential to make a big impact for our company, our customers, and our planet.” #Circularity23 #AWS

Our retired data center hardware has a second life. The Amazon Web Services reverse logistics hubs use circular economy principles to test, repair, and reuse demanufactured server racks, all while maintaining the highest level of data security. One of our reverse logistics operations managers says it well, “The components we repair are small, but they have the potential to make a big impact for our company, our customers, and our planet.” #Circularity23 #AWS

Adam Selipsky

25,368 次观看 • 3 年前

Everyone is building RAG applications, but nobody is talking about the data these systems use. You are delusional if you think clients will have their data sitting in a folder waiting for you to process it. Data is everywhere: in Google Drive, Dropbox, S3, Gmail, Slack, you name it. And, of course, no sane developer wants to build connections to every one of these systems. This would be suicide. I'm working with Ragie, and they released Ragie Connect to solve this problem. First, their RAG system is top-notch (they have published how they do on several RAG benchmarks), and with Connect, they made it very simple to integrate client data without having to write any code. (Well, in reality, you still have to write a few lines, but it's minimal.) Instead of developing one-off integrations for Drive, Dropbox, etc, you can use Connect to integrate with all of them and let Ragie handle authentication, authorization, and automatic data synchronization. This is a huge time saver!

Everyone is building RAG applications, but nobody is talking about the data these systems use. You are delusional if you think clients will have their data sitting in a folder waiting for you to process it. Data is everywhere: in Google Drive, Dropbox, S3, Gmail, Slack, you name it. And, of course, no sane developer wants to build connections to every one of these systems. This would be suicide. I'm working with Ragie, and they released Ragie Connect to solve this problem. First, their RAG system is top-notch (they have published how they do on several RAG benchmarks), and with Connect, they made it very simple to integrate client data without having to write any code. (Well, in reality, you still have to write a few lines, but it's minimal.) Instead of developing one-off integrations for Drive, Dropbox, etc, you can use Connect to integrate with all of them and let Ragie handle authentication, authorization, and automatic data synchronization. This is a huge time saver!

Santiago

72,976 次观看 • 1 年前

⚠️AMAZON WEB SERVICES & RIPPLE discussing AMAZON Bedrock for the XRPL🔥 The overview of this video: XRPL runs on high-performance C++ code (A powerful programming language) . At scale, C++ systems produce large volumes of cryptic logs (history). AWS partners with Ripple, using AMAZON Bedrock (a platform that hosts artificial intelligence agents) to help source the right logs and to understand systems behaviour, reducing time constraints from approximately 2 to 3 days, down to 2 to 3 minutes🔥. Thus reducing the burden on Ripple engineers🔥 This will enable seamless deployment when the new system is eventually implemented. NFA, DYOR⚠️ #XRPLedger

⚠️AMAZON WEB SERVICES & RIPPLE discussing AMAZON Bedrock for the XRPL🔥 The overview of this video: XRPL runs on high-performance C++ code (A powerful programming language) . At scale, C++ systems produce large volumes of cryptic logs (history). AWS partners with Ripple, using AMAZON Bedrock (a platform that hosts artificial intelligence agents) to help source the right logs and to understand systems behaviour, reducing time constraints from approximately 2 to 3 days, down to 2 to 3 minutes🔥. Thus reducing the burden on Ripple engineers🔥 This will enable seamless deployment when the new system is eventually implemented. NFA, DYOR⚠️ #XRPLedger

ProfessoRipplEffect

93,327 次观看 • 6 个月前

World Premiere of Amazon — Market. Power! Monopoly? This documentary will show you how Amazon uses its size and power to raise prices, for you, the consumer. The documentary follows four sellers on Amazon, two in Europe, two in the US, and their journey to survive on the platform. It begins with an explanation of Amazon's pricing policies and the complex way Amazon enforces them. Watch this foundational beginning section carefully and your mind will be blown later in the documentary when you see what goes on behind the scenes, when you click buy. This is an extremely important documentary. Amazon responds to fair criticism and it is my hope, that with your support that we can change Amazon's policies. So sellers can set their own prices. And so you can pay less when you shop online. Timestamps ---Amazon in Europe--- 1:56 How Amazon's pricing systems work 5:24 Does Amazon follow its own pricing rules? 9:26 Europe's investigations into Amazon's market power 14:00 What happens when you sell off-Amazon for less? ---Amazon in the US--- 17:28 Amazon in the USA 20:15 The Brain Flakes 20:37 Calculating the revenues of sellers on Amazon 22:56 Is Amazon a Monopoly? 24:13 How Amazon uses its marketplace to subsidize its money-losing businesses 26:01 The ads on Amazon and how they drive up prices 27:00 How sellers are forced to use Amazon's other services ---Amazon in Europe--- 28:50 Competing with Amazon to be seen in search 29:53 What data analysis says about Amazon following its own rules 32:07 European investigations into Amazon's conduct 33:57 Is it possible to sell online without Amazon? 35:20 How Europe curbed Amazon's pricing behavior ---Amazon in the US--- 37:52 Does Amazon's Basics brand copy its sellers' products? 38:41 The Everyday Sling 40:27 Does Amazon use private data to decide what products to copy? ---Amazon in Europe--- 44:46 Is Amazon a monopoly that should be broken up? 46:52 Credits 47:08 Do you have an Amazon Prime account? I'd like to thank all who made this film possible. A special thank you and respect goes out to the sellers who appeared. It takes a lot of guts and conviction to stand up to one of the world's most powerful companies. To support their businesses, please click into the replies where you will find links to their (off-Amazon!) websites, as well as links to this documentary on other video viewing platforms! Thank you and enjoy!

molson 🧠⚙️

997,262 次观看 • 2 年前

I’ve been a lawyer for over 30 years. Throughout that time, I’ve supported pro bono work and improving access to justice, including as Second Gentleman. I am proud of all the Biden-Harris Administration has done to eliminate barriers in the legal system and provide underserved communities with access to services.

I’ve been a lawyer for over 30 years. Throughout that time, I’ve supported pro bono work and improving access to justice, including as Second Gentleman. I am proud of all the Biden-Harris Administration has done to eliminate barriers in the legal system and provide underserved communities with access to services.

Douglas Emhoff Archived

156,382 次观看 • 1 年前

Meet Desk 5 AI 🚀 The world’s first AI-powered standing desk that boosts your focus with one number: Work Score. Driven by 9 sensors in real time to: – Tell if your workspace supports focus – Guide you to better habits for energy and clarity What’s your score now?

Meet Desk 5 AI 🚀 The world’s first AI-powered standing desk that boosts your focus with one number: Work Score. Driven by 9 sensors in real time to: – Tell if your workspace supports focus – Guide you to better habits for energy and clarity What’s your score now?

Autonomous

27,954 次观看 • 8 个月前

Topview MCP is here 🚀 Your full-stack marketing MCP now comes with built-in access to data signals from Amazon, YouTube, TikTok Shop, and Shopee. No separate data integrations. No scattered research tools. Analyze market insights, find content opportunities, plan creative angles, generate images/videos, then organize everything on an infinite canvas for your campaign. From ecommerce data to publish-ready content, all in one flow. #TopviewAI #TopviewMCP #AIVideo #AIMarketing #AIContentCreation

Topview MCP is here 🚀 Your full-stack marketing MCP now comes with built-in access to data signals from Amazon, YouTube, TikTok Shop, and Shopee. No separate data integrations. No scattered research tools. Analyze market insights, find content opportunities, plan creative angles, generate images/videos, then organize everything on an infinite canvas for your campaign. From ecommerce data to publish-ready content, all in one flow. #TopviewAI #TopviewMCP #AIVideo #AIMarketing #AIContentCreation

TopviewAI

846,673 次观看 • 2 天前