Dive into the world of enterprise GenAI with two AWS GenAI partners. HCLTech's Bhajan Deep Singh shares strategies for seamlessly integrating traditional ML with GenAI, followed by Cohere's Neel Gokhale demonstrating how their Rerank technology is transforming enterprise search through Amazon Bedrock. Two essential perspectives on making GenAI work for your enterprise.
Amazon Web Services (AWS)
IT 服务与咨询
Seattle，WA 9,949,627 位关注者
Official Global LinkedIn page for Amazon Web Services (AWS).
关于我们
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.
- 网站
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https://aws.amazon.com
Amazon Web Services (AWS)的外部链接
- 所属行业
- IT 服务与咨询
- 规模
- 超过 10,001 人
- 总部
- Seattle，WA
- 类型
- 上市公司
- 创立
- 2006
地点
Amazon Web Services (AWS)员工
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Frank Boosman
Global Head of Customer Success, Data Center Learning at AWS
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Don Drake
Sr. Solutions Architect, DBS at Amazon Web Services (AWS)
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Ted Collins
Experienced tech leader | Startup to enterprise | Senior technical & executive roles | Adaptable & impact-driven
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Phil Windley
Digital identity expert
动态
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Join us for a technical deep dive into Amazon Q Business’s Agentic AI capabilities with Abhishek M. Shivalingaiah, Anil Nadiminti and Trevor Spires. Learn how Amazon Q Business can plan and execute action in enterprise systems seamlessly (Salesforce, Jira, databases etc).
Unlock the power of agentic AI w/ Amazon Q Business! AWS Show & Tell GenAI
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Want to cut #AI training costs in half? Here is how Ricoh did it. ???? https://go.aws/4j4ivPW Ricoh, a multinational company that develops workplace solutions and digital transformation services, optimized their Large Language Model (LLM) training, successfully adding Japanese language capabilities while preventing catastrophic forgetting using #AWS Trainium. Plus, they achieved 25% faster training time. And now they're excited to get started with Trainium2. #TrainiumTuesdays
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Want to save time? Who doesn't!? Join our experts Jay Busch (Sr. Technical Account Manager) and Rajakumar Sampathkumar (Principal Technical Account Manager) who will show off hands on demos that are going to help you understand the power of Amazon Q Developer to manage and troubleshoot your workloads faster.
Streamlining operational troubleshooting with Amazon Q Developer
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Learn how to optimize your serverless data processing workflows at scale. Solutions Architects, Elizabeth Davis and Mark Richman, join Julian Wood to dive into using some AWS Step Functions features, including intrinsic functions and Distributed Map state. Review common applications and examples to understand when to use them, and learn how they can help you save processing time, resources, and money. Gain insights on how to efficiently orchestrate and parallelize your data processing pipelines using powerful Step Functions capabilities. We are also available to answer any of your serverless questions. Host: Julian Wood - Principal Developer Advocate, AWS Serverless: https://lnkd.in/ec_64nwt https://lnkd.in/emDX6QVa https://lnkd.in/e2wZUrQj Guests: Mark Richman - Principal Solutions Architect, AWS: https://lnkd.in/e-7qskbP Elizabeth Davis - Senior Solutions Architect, AWS: https://lnkd.in/eY4Jp2_k Stream Links: Serverless Workflows Collection: https://lnkd.in/eSuqf77h * SUBSCRIBE TO THIS CHANNEL: https://lnkd.in/ebiNf373 * * SERVERLESS OFFICE HOURS * * Playlist: https://lnkd.in/eX3pB3wF A weekly live office hours to learn about building serverless applications. We cover a separate topic each week, including what's new with serverless, deep dives into feature launches and best practices, and explore real world use-cases. Join us live to ask us anything you want about serverless technologies and applications. * * https://ServerlessLand.com * * Your resource for learning about serverless technology. Learn to use and build apps that scale automatically on low-cost, fully-managed serverless architecture.
Data processing with AWS Step Functions | Serverless Office Hours
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Join Karen Hildebrand - Sr. PSA Manager, Worldwide Strategic Industries, and Patrick Palmer - PSA for Games and AI/ML, for AWS for Industries LIVE! They sit down with ?těpán Kaiser, GameTech Lead, and Jan Sechovec, CTO for GameTech, at Remāngu to discuss remote collaboration on game development and animation. Also joining the show is Christoffer Holmg?rd, Co-Founder and CTO of modl.ai to discuss how they are leveraging GenAI to help developers automate the complex overhead in game development.
AWS Industries Live! | Remāngu & modl.ai on cloud game development in M&E
www.dhirubhai.net
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Make better decisions, faster with an advanced AI agent. ?????? https://go.aws/4kVykdv With the scenarios capability of #AmazonQ in QuickSight, users can perform complex data analysis up to 10x faster than spreadsheets. Explore data with natural language, get insights, & recommendations. #AWS #generativeAI #AmazonQuickSight
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In this episode, we explore the use of Knowledge Bases (KBs) with Amazon Bedrock Agents, enabling them to leverage external sources of information for enhanced reasoning and decision-making. We delve into the motivation and intuition behind KBs and Retrieval-Augmented Generation (RAG) models, which combine the power of language models with external knowledge sources. Additionally, we will demonstrate the process of creating and testing a KB through a demo.
Deep Dive w/ AWS! Amazon Bedrock - AI Agents | Implementing Knowledge Bases
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When our ECS application breaks, you gotta call Moe! Our esteemed TAM guest will help troubleshoot live along with YOU the audience as we review common ECS issues, failure modes, and best practices.
The Tale of ECS Troubleshooting - AWS Tech Tales
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?? This week, AWS OnAir goes on the road to #PGATOUR Studios to show you how #generativeAI is changing the world of golf for both fans and players alike. Set your calendars for March 28 at 12pm PT to join Nicholas Betz and Trey Pezzetti on this exclusive look at the tech behind your favorite game. ?? https://lnkd.in/eSYhVmVh #generativeAI #AmazonBedrock #AmazonCloudwatch