This document discusses Amazon SageMaker, an AWS service that allows users to build, train, and deploy machine learning models. It provides an overview of SageMaker's key capabilities like the SageMaker SDK, hosted Jupyter notebooks, built-in algorithms, and integration with other AWS services. Examples of using SageMaker with frameworks like Chainer and TensorFlow are also presented.
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
CI/CD for Your Machine Learning Pipeline with Amazon SageMaker (DVC303) - AWS...Amazon Web Services
Amazon SageMaker is a powerful tool that enables us to build, train, and deploy at scale our machine learning-based workloads. With help from AWS CI/CD tools, we can speed up this pipeline process. In this talk, we discuss how to integrate Amazon SageMaker into a CI/CD pipeline as well as how to orchestrate with other serverless components.
This session is part of re:Invent Developer Community Day, a series led by AWS enthusiasts who share first-hand, technical insights on trending topics.
Join us for this talk to learn how can you create a continues deployment pipeline for your container workloads. This talk will demonstrate an end to end CD pipeline for updating your microservice. Starting with version control changes and end in deploying the changes into a live container orchestrator.
Intelligence of Things: IoT, AWS DeepLens and Amazon SageMaker - AWS Summit S...Amazon Web Services
Intelligence of Things: IoT, AWS DeepLens and Amazon SageMaker
With IoT, machine learning is going everywhere. Using Amazon SageMaker it's never been easier to build Intelligent Things. In this session we look at how we can push intelligence from cloud-trained models to the edge using AWS Greengrass and explore how devices such as AWS DeepLens make it easy to bring intelligence to your things.
Jan Haak, Global Solutions Architect, Amazon Web Services
Perform Machine Learning at the IoT Edge using AWS Greengrass and Amazon Sage...Amazon Web Services
"Learning Objectives:
- Develop intelligent IoT edge solutions using AWS Greengrass
- Develop data science models in the cloud with Amazon SageMaker
- Learn how AWS Greengrass and Amazon SageMaker enable you to perform machine learning at the edge"
Modern Applications Web Day | Manage Your Infrastructure and Configuration on...AWS Germany
It's easy to say - "Hey I will use the cloud and be scalable and elastic!" - But it is not easy managing all that at scale, and keeping it flexible! Let's talk about Infrastructure as Code and Configuration as Code! This session will help you grasp the available toolset and best practices when it comes to managing your infrastructure and configuration on AWS. It will show you how can you make any changes to your workload with a single 'git push origin master'
Speaker: Darko Meszaros, Solutions Architect, AWS
Sequence-to-Sequence Modeling with Apache MXNet, Sockeye, and Amazon SageMake...Amazon Web Services
In this session, we discuss the "encoder-decoder architecture with attention," a state-of-the-art architecture for natural language processing. This architecture is implemented in the Sockeye package of MXNet and is used by the sequence-to-sequence algorithm of Amazon SageMaker.
Ensuring Your Windows Server Workloads Are Well-Architected - AWS Online Tech...Amazon Web Services
Learning Objectives:
- Learn about common architecture patterns for network design, Microsoft Active Directory, and business productivity solutions like Dynamics AX, CRM, and Microsoft SharePoint
- Explore common scenarios for legacy and custom .NET, .NET Core with Microsoft SQL deployments and migrations
- Gain insights on simplifying your IT infrastructure and managing your Microsoft workloads in a familiar environment
If you still running servers for website backend, come and see how you can remove server operations from your tasks list and focus on developing the best code and product.In this session, we will take a common website architecture and show how can we use AWS Lambda, AWS AppSync and other Services to build smarter and better systems.
If you still running servers for website backend, come and see how you can remove server operations from your tasks list and focus on developing the best code and product.
In this session, we will take a common website architecture and show how can we use AWS Lambda, AWS AppSync and other Services to build smarter and better systems.
Deep Learning Applications Using PyTorch, Featuring Facebook (AIM402-R) - AWS...Amazon Web Services
With support for PyTorch 1.0 on Amazon SageMaker, you now have a flexible deep learning framework combined with a fully managed machine learning platform to transition seamlessly from research prototyping to production deployment. In this session, learn how to develop with PyTorch 1.0 within Amazon SageMaker using a novel generative adversarial network (GAN) tutorial. Then, hear from Facebook on how you can use the FAIRSeq modeling toolkit, which serves 6B translations daily for Facebook users, to train your own custom PyTorch models on Amazon SageMaker. Facebook also discusses the evolution of PyTorch 1.0 and features introduced to accelerate research and deployment.
Getting Started with AWS Greengrass (IOT215-R3) - AWS re:Invent 2018Amazon Web Services
Join this session to learn the concepts of AWS Greengrass. You have the opportunity to install, run, and configure an AWS Greengrass core. Then, we show you how to connect a device to AWS IoT and to AWS Greengrass. Learn to provision AWS Greengrass and create various communication scenarios in your account. Also, learn how to route messages to locally connected devices, and to and from the cloud.
Serverless:It All Started in Vegas (DVC306) - AWS re:Invent 2018Amazon Web Services
This talk dives into Trustpilot's journey to serverless compute. The journey starts at re:Invent 2016 and follows how the company fast-tracked its adoption within its engineering organization using a "serverless first" engineering principle. A representative from Trustpilot shares lessons learned and insights gained from running over 200 AWS Lambda functions with 12M invocations/day in production. Also covered are fun stories of what helped the company adopt serverless, how to make those stories actionable, a review of architectural patterns, and a discussion of why they choose serverless over traditional compute every day.
This session is part of re:Invent Developer Community Day, a series led by AWS enthusiasts who share firsthand technical insights on trending topics.
The AWS Cloud Development Kit is a new open-source framework from AWS which allows developers to harness the full power of modern programming languages to define reusable cloud components and applications , and provision them through CloudFormation. This workshop will help you get started with the AWS CDK using TypeScript. We will build and deploy a CDK app that uses API Gateway, AWS Lambda, DynamoDB, Containers and Step Functions. We will also define reusable CDK components (called “constructs”) that can be shared with your team/company or with the whole wide world.
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Japan YouTube 公式チャンネルでライブ配信された 2022年4月26日の AWS Developer Live Show 「Infrastructure as Code 談議 2022」 の資料となります。 当日の配信はこちら からご確認いただけます。
https://youtu.be/ed35fEbpyIE
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
202204 AWS Black Belt Online Seminar Amazon Connect Salesforce連携(第1回 CTI Adap...Amazon Web Services Japan
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
* AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
* 過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
企業間の連携においてもSaaS活用シフトが進む一方で、インターネット経由というイメージからセキュリティーに不安を感じて踏みとどまるユーザーは多くいます。こうした懸念を払しょくするAWS PrivateLinkを活用した企業間のプライベート接続や閉域網との構成例、SaaS事業者様からなるPrivateLinkパートナーコミュニティ形成の取り組みをご紹介します。
2021年12月9日に開催された「SaaS on AWS Day 2022」での講演内容です。
パッケージソフトウェアをお持ちのお客様が新たにSaaS版のアプリケーションを検討したいというニーズが増えています。一方で"SaaS版を作っても成功するかわからない"、"WEBアプリケーションを作る技術力や知見がない"といった不安からSaaS化における課題があることも事実です。本セッションでは、小さく早くSaaSビジネスを始めたいお客様に向けて、Amazon AppStream2.0を用いた既存アプリケーションのSaaS化手法をご紹介します。
2021年12月9日に開催された「SaaS on AWS Day 2021」での講演内容です。
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
202201 AWS Black Belt Online Seminar Apache Spark Performnace Tuning for AWS ...Amazon Web Services Japan
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.