The document summarizes sessions from the AWS re:Invent 2018 conference related to digital advertising and machine learning. It provides an index of breakout sessions, chalk talks, and workshops on topics like using Amazon Rekognition for video analysis, global cloud architecture, and real-time targeted advertising. A highlighted session discusses how The Trade Desk has evolved to use AI/ML techniques and another session describes how VidMob leverages Amazon Rekognition for video creative asset production and analysis.
본 게시물은 2019년 6월 18일에 AWS Game Team에서 진행한 GameLift 교육 자료입니다. GameLift는 클라우드에서 세션 기반 멀티플레이 게임 서버를 배포, 운영, 조정하는 데 사용되는 완전 관리형 서비스입니다. Amazon GameLift를 사용해 최고의 동급 전용 게임 서버 호스팅을 확보하십시오.
완전 관리형 ML 서비스인 Amazon SageMaker 의 신규 기능 소개 - 김필호 AI/ML 스페셜리스트 솔루션즈 아키텍트, AWS ...Amazon Web Services Korea
완전 관리형 ML 서비스인 Amazon SageMaker 의 신규 기능 소개 - 김필호 AI/ML 스페셜리스트 솔루션즈 아키텍트, AWS :: AWS Innovate 2019
AWS가 제공하는 AI/ML 서비스의 폭과 깊이가 빠르게 커지고 있습니다. 이번 re:Invent 행사에서 새롭게 출시된 다양한 SageMaker 관련 신규 서비스들을 소개 드리고자 합니다. 데이터 전처리 작업 비용을 70% 절감할 수 있는 Ground Truth, 기존 대비 1/10수준의 메모리를 사용하면서 최대 2배 빠른 성능으로 모델을 최적화하는 SageMaker Neo, 전문 지식 없이도 강화 학습(Reinforcement Learning, RL)을 손쉽게 활용할 수 있게 하는 SagaMaker RL 기능, 원하시는 알고리즘을 구매하셔서 사용하실 수 있는 새로워진Marketplace 등 다양한 새로운 서비스들을 만나보세요.
본 게시물은 2019년 6월 18일에 AWS Game Team에서 진행한 GameLift 교육 자료입니다. GameLift는 클라우드에서 세션 기반 멀티플레이 게임 서버를 배포, 운영, 조정하는 데 사용되는 완전 관리형 서비스입니다. Amazon GameLift를 사용해 최고의 동급 전용 게임 서버 호스팅을 확보하십시오.
완전 관리형 ML 서비스인 Amazon SageMaker 의 신규 기능 소개 - 김필호 AI/ML 스페셜리스트 솔루션즈 아키텍트, AWS ...Amazon Web Services Korea
완전 관리형 ML 서비스인 Amazon SageMaker 의 신규 기능 소개 - 김필호 AI/ML 스페셜리스트 솔루션즈 아키텍트, AWS :: AWS Innovate 2019
AWS가 제공하는 AI/ML 서비스의 폭과 깊이가 빠르게 커지고 있습니다. 이번 re:Invent 행사에서 새롭게 출시된 다양한 SageMaker 관련 신규 서비스들을 소개 드리고자 합니다. 데이터 전처리 작업 비용을 70% 절감할 수 있는 Ground Truth, 기존 대비 1/10수준의 메모리를 사용하면서 최대 2배 빠른 성능으로 모델을 최적화하는 SageMaker Neo, 전문 지식 없이도 강화 학습(Reinforcement Learning, RL)을 손쉽게 활용할 수 있게 하는 SagaMaker RL 기능, 원하시는 알고리즘을 구매하셔서 사용하실 수 있는 새로워진Marketplace 등 다양한 새로운 서비스들을 만나보세요.
Introducing the New Features of AWS Greengrass (IOT365) - AWS re:Invent 2018Amazon Web Services
With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.
Introduction to AI services for Developers - Builders Day IsraelAmazon Web Services
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Building an end to end image recognition service - Tel Aviv Summit 2018Amazon Web Services
In this session, we’ll learn how to build and deploy end to end solutions for ingesting and processing computer vision solutions, using machine learning models connected to live video streams, and getting insights such as face detection and object analysis. At the end of the session developers of all skill levels will be able to build their own deep learning powered, computer-vision applications. Attendees will learn how to experiment with different projects for face detection, object recognition and other video-based AWS Machine Learning services.
Applying Maching Learning to Build Smarter Video WorkflowsAmazon Web Services
Christopher Kuthan, Worldwide Business Development Lead, Media - Solutions, AWS
This session provided a deep-dive into how you can harness the capabilities of Machine Learning to build smarter video workflows, create additional content value, and transform the viewing experience. This session incorporated live demonstrations of video use cases.
Add Real-Time Personalization and Recommendations to Your Applications (AIM39...Amazon Web Services
The right offering presented at the right moment can make all the difference. Machine learning is well known for improving the personalized product and content recommendations, tailored search results, and targeted marketing promotions that businesses rely on. Join this workshop and learn how you can create custom personalization and recommendations for your customers using services from AWS.
In this presentation, we will explore three different ways you can build backends for real-time applications. First, we'll examine how to run and scale SignalR and other similar opensource frameworks on AWS using Amazon ElastiCache. Next, we will take a look at the new WebSocket support in API gateway and discover how it enables us to convert Lambda functions into real-time solutions. Finally, we will look at AppSyncs incredible real-time support for web and mobile applications
Resiliency and Availability Design Patterns for the CloudAmazon Web Services
We have traditionally built robust software systems by trying to avoid mistakes and by dodging failures when they occur in production or by testing parts of the system in isolation from one another. Modern methods and techniques take a very different approach based on resiliency, which promotes embracing failure instead of trying to avoid it. Resilient architectures enhance observability, leverage well-known patterns such as graceful degradation, timeouts and circuit breakers but also new patterns like cell-based architecture and shuffle sharding. In this session, will review the most useful patterns for building resilient software systems and especially show the audience how they can benefit from the patterns.
AI/ML with Data Lakes: Counterintuitive Consumer Insights in Retail (RET206) ...Amazon Web Services
In this session, learn how data scientists in the retail industry, from companies like Tapestry, Coach, and Kate Spade, are finding new, counterintuitive consumer insights using AWS artificial intelligence services in a data lake. By leveraging data from various retail systems, including CRM, marketing, e-commerce, point of sale, order management, merchandising, and customer care, we show you how these consumer insights might influence new and interesting retail use cases while establishing a data-driven culture within the organization. Services referenced include Amazon S3, Amazon Machine Learning, Amazon QuickSight, Amazon SageMaker, among others.
Unlock the Full Potential of Your Media Assets, ft. Fox Entertainment Group (...Amazon Web Services
Machine learning (ML) enables developers to build scalable solutions that maximizes the use of media assets through automatic metadata extraction. From automatic transcription and language translation to face detection and celebrity recognition, ML enables you to automate manual workflows and optimize the use of your video content. In this session, learn how to use services such as Amazon Rekognition, Amazon Translate, and Amazon Comprehend to build a searchable video library, automate the creation of highlight reels, and more.
Introducing the New Features of AWS Greengrass (IOT365) - AWS re:Invent 2018Amazon Web Services
With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.
Introduction to AI services for Developers - Builders Day IsraelAmazon Web Services
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Building an end to end image recognition service - Tel Aviv Summit 2018Amazon Web Services
In this session, we’ll learn how to build and deploy end to end solutions for ingesting and processing computer vision solutions, using machine learning models connected to live video streams, and getting insights such as face detection and object analysis. At the end of the session developers of all skill levels will be able to build their own deep learning powered, computer-vision applications. Attendees will learn how to experiment with different projects for face detection, object recognition and other video-based AWS Machine Learning services.
Applying Maching Learning to Build Smarter Video WorkflowsAmazon Web Services
Christopher Kuthan, Worldwide Business Development Lead, Media - Solutions, AWS
This session provided a deep-dive into how you can harness the capabilities of Machine Learning to build smarter video workflows, create additional content value, and transform the viewing experience. This session incorporated live demonstrations of video use cases.
Add Real-Time Personalization and Recommendations to Your Applications (AIM39...Amazon Web Services
The right offering presented at the right moment can make all the difference. Machine learning is well known for improving the personalized product and content recommendations, tailored search results, and targeted marketing promotions that businesses rely on. Join this workshop and learn how you can create custom personalization and recommendations for your customers using services from AWS.
In this presentation, we will explore three different ways you can build backends for real-time applications. First, we'll examine how to run and scale SignalR and other similar opensource frameworks on AWS using Amazon ElastiCache. Next, we will take a look at the new WebSocket support in API gateway and discover how it enables us to convert Lambda functions into real-time solutions. Finally, we will look at AppSyncs incredible real-time support for web and mobile applications
Resiliency and Availability Design Patterns for the CloudAmazon Web Services
We have traditionally built robust software systems by trying to avoid mistakes and by dodging failures when they occur in production or by testing parts of the system in isolation from one another. Modern methods and techniques take a very different approach based on resiliency, which promotes embracing failure instead of trying to avoid it. Resilient architectures enhance observability, leverage well-known patterns such as graceful degradation, timeouts and circuit breakers but also new patterns like cell-based architecture and shuffle sharding. In this session, will review the most useful patterns for building resilient software systems and especially show the audience how they can benefit from the patterns.
AI/ML with Data Lakes: Counterintuitive Consumer Insights in Retail (RET206) ...Amazon Web Services
In this session, learn how data scientists in the retail industry, from companies like Tapestry, Coach, and Kate Spade, are finding new, counterintuitive consumer insights using AWS artificial intelligence services in a data lake. By leveraging data from various retail systems, including CRM, marketing, e-commerce, point of sale, order management, merchandising, and customer care, we show you how these consumer insights might influence new and interesting retail use cases while establishing a data-driven culture within the organization. Services referenced include Amazon S3, Amazon Machine Learning, Amazon QuickSight, Amazon SageMaker, among others.
Unlock the Full Potential of Your Media Assets, ft. Fox Entertainment Group (...Amazon Web Services
Machine learning (ML) enables developers to build scalable solutions that maximizes the use of media assets through automatic metadata extraction. From automatic transcription and language translation to face detection and celebrity recognition, ML enables you to automate manual workflows and optimize the use of your video content. In this session, learn how to use services such as Amazon Rekognition, Amazon Translate, and Amazon Comprehend to build a searchable video library, automate the creation of highlight reels, and more.
In this webinar, you’ll learn how to reduce time-to-market when building or expanding your mobile presence with AWS services. Quickly onboard users of your e-commerce platform and manage identities and access controls. Engage and increase user retention with push notifications, messaging, analytics, and campaigns. Learn more about managing access to your APIs with a serverless back-end architecture, and test your apps on a broad array of devices to ensure quality releases.
Real-World AI and Deep Learning for Enterprise with Case StudiesAmazon Web Services
Artificial Intelligence is here this time, to stay. For the Enterprise, AI materializes into solutions that improve customers' experiences by optimizing, automating, and personalizing high-volume tasks while lowering cost and time to market, therefore accelerating innovation. In this session, we cover AWS' AI products and services that enable innovation in the enterprise while maintaining compliance with different regimes such as HIPAA, PCI, and more. Finally, we discuss enterprise architectures on AWS for machine learning and deep learning workloads.
Leadership Session: AWS Automotive - Paving the Way for the Future of the Aut...Amazon Web Services
The automotive industry is undergoing rapid change in every area, and cloud computing is at the center of this transformation. In this session, learn how leading global automotive companies are partnering with AWS to transition their enterprises to create innovative, connected brand experiences and future mobility services. Volkswagen Group discusses how they are migrating legacy applications to create an agile, scalable, microservices-based digital platform using AWS as a cloud service provider, serving their 12 global brands and connecting millions of vehicles. BMW Group shows how they modernized their digital customer engagement platform by migrating their monolithic backend to a microservice-based platform and subsequently leveraging multiple AWS services to support more than 28 front-end customer touchpoints across auto and motorcycle brands. Finally, Toyota Research Institute shows how they are using deep learning on Amazon EC2 P3 instances, Amazon S3, Amazon SQS, and AWS networking services to accelerate the research and development of their automated driving systems.
AI & ML at Amazon: AWS Developer Workshop - Web Summit 2018Amazon Web Services
AI & Machine Learning at Amazon: AWS Developer Workshop - Web Summit 2018
Amazon has been applying machine learning to create artifical intelligence features within its products and services for over 20 years. Join this session and learn about the application of ML and AI within Amazon, from retail product recommendations to the latest in natural language understanding, and how you can use easily accessible services from AWS to enable you to include AI features within your applications or build your own custom ML models for your own specific AI use cases.
Speaker: Ian Massingham - Director, Technical Evangelist, AWS
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.
Artificial Intelligence nella realtà di oggi: come utilizzarla al meglioAmazon Web Services
L'intelligenza Artificiale è qui questa volta, per restare. Per le aziende, l'intelligenza artificiale si concretizza in soluzioni che migliorano l'esperienza dei clienti ottimizzando, automatizzando e personalizzando attività ad alto volume e riducendo al contempo costi e tempi, accelerando notevolmente il ritmo di innovazione. In questa sessione, approfondiremo i servizi AI di AWS che promuovo l'innovazione in azienda mantenendo la conformità con diversi regimi come HIPAA, PCI e altro. Infine, presenteremo le architetture AWS necessarie per supportare i carichi di lavoro di apprendimento automatico e deep learning.
by Anupam Mishra, AWS Solutions Architect
For startup tech leaders, it's a balancing act: aiming to accelerate product development, while also being mindful of how rushed technology choices can introduce unnecessary business risk.
Come to this session to learn how to start releasing features faster with an entire continuous delivery toolchain deployed in minutes with AWS CodeStar. See how you can easily track progress across your product backlog until actual deployment in production. We will show you specific AWS services to use to future-proof your architecture and avoid over-engineering. Prepare for success by deploying your app on a scalable platform like Amazon Elastic Beanstalk - without a steep learning curve or complex infrastructure configuration work.
Finally leverage one of the turnkey AWS Solutions you can launch with a few clicks; a reference implementation to make data driven decisions about product roadmap using real time analytics.
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.
Accelerate ML Training on Amazon SageMaker Using GPU-Based EC2 P3 Instances (...Amazon Web Services
In this workshop, you gain hands-on experience in training deep learning neural networks with Amazon SageMaker using GPU-based EC2 P3 instances. Amazon EC2 P3 instances, powered by NVIDIA Tesla V100 GPUs, offer the highest-performing GPU-based instances in the cloud for efficient model training. We discuss and work through building convolution neural networks for solving common computer vision problems. All attendees must bring their own laptop (Windows, macOS, and Linux all supported). Tablets are not appropriate. We also recommend having the current version of Chrome or Firefox installed.
Emerging Trends in Big Data, Analytics, Machine Learning, and Internet-of-Thi...Michaela Bromfield
This presentation was delivered on March 7, 2018 at Gartner's Data and Analytics Summit in Grapevine, TX. Rahul Pathak, GM at AWS discusses Next Gen Architecture on AWS.
Retail Marketing with Machine Learning & Amazon Rekognition (RET205) - AWS re...Amazon Web Services
Retailers need to create individually tailored experiences to delight customers while more and more companies are leveraging technology to do so. In this chalk talk, we whiteboard the architecture and demonstrate Amazon Rekognition to understand how to automate the process of building personalized marketing solutions using ML-based machine vision and gather consumer insights using visualization tools. Audience participation is encouraged through a Q&A for retail marketing use cases like customer mood analysis, celebrity product placement marketing with social media, and store traffic analysis to drive merchandising decisions, planogram decisions, and overall product placement.
Leadership Session: The Future of Enterprise IT (ENT220-L) - AWS re:Invent 2018Amazon Web Services
The cloud is enabling the transformation of IT in the enterprise at an unprecedented rate. No longer is IT viewed just as a provider of services, but increasingly it is viewed as a strategically important team that plays a central role in the creation of new business value. How are enterprise IT leaders responding, and what are the people, process and technology shifts needed to build agile and innovative organizations?
Artificial Intelligence (AI) services on the AWS cloud bring the experience of Amazon and power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the history of AI at Amazon and explore the opportunities to apply one or more of the AI services provide a number of examples and use cases to help you get started.
Artificial Intelligence (AI) services on the AWS cloud bring the experience of Amazon and power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the history of AI at Amazon and explore the opportunities to apply one or more of the AI services provide a number of examples and use cases to help you get started.
AI & Machine Learning at AWS - An IntroductionDaniel Zivkovic
Slides from my "Introduction to AI & ML for AWS Pros" Lunch & Learn presentation. The idea was to (1) bridge the gap between Data Scientists & today's Cloud professionals; (2) spur the imagination of AWS Pros about ML possibilities, and (3) explain the importance of SageMaker - because it's not just another tool in Data Scientist's toolbox, but an amazing End-to-End Machine Learning Platform.
Similar to re:Invent 2018 Recap Digital Advertising (Japanese) (20)
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 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/
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
"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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.