Presented at the LA Amazon CloudSearch Meetup by Jon Handler, Amazon CloudSearch Solutions Architect. This talk covers an introduction to CloudSearch as well as new features for ranking, relevance, analytics, and tuning.
Geospatial Search With Amazon CloudSearch Michael Bohlig
Presented by Tom Hill, Amazon CloudSearch Solution Architect, at the LA Amazon CloudSearch User Meetuo, this talk covers using location & distance as factors in search. Techniques for measuring proximity are discussed as well as performance considerations.
The document discusses how to tune search requests to improve performance. It covers topics like query processing which involves matching, filtering, ranking and sorting documents. Common issues that impact performance are discussed, such as using literals versus numeric fields. The document also provides examples of how restriction types and field data types can affect query times. Overall it provides guidance on optimizing search requests through techniques like reducing the match set size early in processing.
The document discusses building location-based search capabilities using Amazon CloudSearch. It begins with an overview of CloudSearch and what location-based search is. It then covers important concepts for location-based search like computing distance between points and different distance formulas. The document concludes by explaining how to implement location-based search features in CloudSearch using rank expressions to compute distance and influence search results.
The document summarizes a meetup hosted by Amazon about Amazon CloudSearch and related services. It provides an agenda for presentations on using CloudSearch with DynamoDB, education search applications, tuning search queries, and a user talk from SnapGuide. The first presentation discusses how CloudSearch can be used to add search capabilities to data stored in DynamoDB by mapping attributes between the two services.
Dzone Webinar: Search Patterns with Amazon CloudSearchMichael Bohlig
This webinar is based on the Dzone Refcard (http://refcardz.dzone.com/refcardz/search-patterns) and provides patterns for integrating cloud-based search with a variety of applications. Examples of these patterns are demonstrated using Amazon CloudSearch to abstract away the complexities of deploying and administering your own search servers, but the principles apply to other search systems as well.
Using Amazon CloudSearch With Databases - CloudSearch Meetup 061913Michael Bohlig
Presentation on using Amazon CloudSearch with databases. What to use when? How can you use CloudSearch with a database? Tom Hill, Solutions Architect, Amazon CloudSearch
Building Better Search For Wikipedia: How We Did It Using Amazon CloudSearch ...Amazon Web Services
In this webinar Paul Nelson, CTO and search guru at Search Technologies, covers how he implemented improved search capabilities for Wikipedia using Amazon CloudSearch, a fully-managed search service in the AWS cloud. See how Wikipedia search can now deliver a richer experience that includes faceted navigation, better and more relevant results, and an improved user interface. Topics include data acquisition and clean-up, indexing, handling queries, relevance ranking, and building the search user interface. For more information please see: http://aws.amazon.com/cloudsearch/
AWS Webcast - Using Amazon CloudFront-Accelerate Your Static, Dynamic, Intera...Amazon Web Services
Amazon CloudFront AWS’s easy-to-use and cost-effective content delivery service, recently added support for five additional HTTP methods: POST, PUT, DELETE, OPTIONS and PATCH. This means you can now use CloudFront to accelerate data uploaded from end users, improving the performance of dynamic and personalized websites that have web forms, comment and login boxes, “add to cart” buttons or other features. In this webinar, we will explain how CloudFront can accelerate your entire website running on Amazon S3, Amazon EC2, an Elastic Load Balancer, or on your own origin server using routes optimized via persistent connections, TCP/IP and other network path optimizations. We will also demo recent CloudFront features such as zone apex support, custom error pages, and content upload (via these additional HTTP methods).
Geospatial Search With Amazon CloudSearch Michael Bohlig
Presented by Tom Hill, Amazon CloudSearch Solution Architect, at the LA Amazon CloudSearch User Meetuo, this talk covers using location & distance as factors in search. Techniques for measuring proximity are discussed as well as performance considerations.
The document discusses how to tune search requests to improve performance. It covers topics like query processing which involves matching, filtering, ranking and sorting documents. Common issues that impact performance are discussed, such as using literals versus numeric fields. The document also provides examples of how restriction types and field data types can affect query times. Overall it provides guidance on optimizing search requests through techniques like reducing the match set size early in processing.
The document discusses building location-based search capabilities using Amazon CloudSearch. It begins with an overview of CloudSearch and what location-based search is. It then covers important concepts for location-based search like computing distance between points and different distance formulas. The document concludes by explaining how to implement location-based search features in CloudSearch using rank expressions to compute distance and influence search results.
The document summarizes a meetup hosted by Amazon about Amazon CloudSearch and related services. It provides an agenda for presentations on using CloudSearch with DynamoDB, education search applications, tuning search queries, and a user talk from SnapGuide. The first presentation discusses how CloudSearch can be used to add search capabilities to data stored in DynamoDB by mapping attributes between the two services.
Dzone Webinar: Search Patterns with Amazon CloudSearchMichael Bohlig
This webinar is based on the Dzone Refcard (http://refcardz.dzone.com/refcardz/search-patterns) and provides patterns for integrating cloud-based search with a variety of applications. Examples of these patterns are demonstrated using Amazon CloudSearch to abstract away the complexities of deploying and administering your own search servers, but the principles apply to other search systems as well.
Using Amazon CloudSearch With Databases - CloudSearch Meetup 061913Michael Bohlig
Presentation on using Amazon CloudSearch with databases. What to use when? How can you use CloudSearch with a database? Tom Hill, Solutions Architect, Amazon CloudSearch
Building Better Search For Wikipedia: How We Did It Using Amazon CloudSearch ...Amazon Web Services
In this webinar Paul Nelson, CTO and search guru at Search Technologies, covers how he implemented improved search capabilities for Wikipedia using Amazon CloudSearch, a fully-managed search service in the AWS cloud. See how Wikipedia search can now deliver a richer experience that includes faceted navigation, better and more relevant results, and an improved user interface. Topics include data acquisition and clean-up, indexing, handling queries, relevance ranking, and building the search user interface. For more information please see: http://aws.amazon.com/cloudsearch/
AWS Webcast - Using Amazon CloudFront-Accelerate Your Static, Dynamic, Intera...Amazon Web Services
Amazon CloudFront AWS’s easy-to-use and cost-effective content delivery service, recently added support for five additional HTTP methods: POST, PUT, DELETE, OPTIONS and PATCH. This means you can now use CloudFront to accelerate data uploaded from end users, improving the performance of dynamic and personalized websites that have web forms, comment and login boxes, “add to cart” buttons or other features. In this webinar, we will explain how CloudFront can accelerate your entire website running on Amazon S3, Amazon EC2, an Elastic Load Balancer, or on your own origin server using routes optimized via persistent connections, TCP/IP and other network path optimizations. We will also demo recent CloudFront features such as zone apex support, custom error pages, and content upload (via these additional HTTP methods).
The document summarizes an Amazon CloudSearch meetup event in San Francisco on March 28, 2013. The agenda included talks on using CloudSearch with DynamoDB, EDU search applications, tuning search queries, and a user talk from SnapGuide. Jon Handler from Amazon presented on how to integrate CloudSearch with DynamoDB by uploading DynamoDB data to a CloudSearch domain, configuring fields, and keeping the services in sync.
The document is an introduction to Amazon CloudSearch presented in a webinar. It discusses how CloudSearch provides fully-managed search capabilities that automatically scale for data and traffic. It covers how to set up and configure search domains, upload documents, integrate search, and other topics. Pricing is based on instance types, document uploads, and index requests. Resources for learning more are provided.
CIS13: AWS Identity and Access ManagementCloudIDSummit
This document discusses Amazon Web Services (AWS) Identity and Access Management (IAM), as presented by Jim Scharf, Director of IAM. It provides an overview of IAM and how it enables control over access to AWS services and resources. Examples are given of how NASA uses AWS for scalable cloud-based processing of data from Mars rovers. The wide range of AWS services and capabilities are also outlined.
Amazon CloudSearch is a fully-managed search service that allows users to build search applications without having to manage any infrastructure. It automatically scales to support large data and traffic volumes. Users can build search applications in less than an hour and pay only for what they use on a pay-as-you-go basis with no upfront costs or commitments. CloudSearch supports both structured and unstructured data and provides features like faceting, range searching, fielded searching, and customizable relevance ranking.
AWS Webcast - High Availability with Route 53 DNS FailoverAmazon Web Services
This webinar will be discussing how to use DNS Failover to a range of high-availability architectures, from a simple backup website to advanced multi-region architectures.
AWS Webcast - Getting Started With CloudSearch: Add Powerful Search To Your W...Amazon Web Services
The document discusses how to get started with Amazon CloudSearch to add powerful search capabilities to web applications. It describes how CloudSearch allows developers to build search with low costs and without upfront expenditures. Developers can experiment quickly and scale easily. The document outlines how to create a CloudSearch domain, prepare and upload data, configure the domain, and integrate search through APIs.
Delivering Better Search For WordPress - AWS WebcastMichael Bohlig
Want to offer your users more accurate search results for your WordPress websites and content? We will show you how to install and set up the Lift WordPress plugin for Amazon CloudSearch to improve your default WordPress search functionality. You will learn how to get better search relevancy, with faceting and search filters for post types and date ranges. Lift integrates with your existing Wordpress theme, with no need for customization, and runs on top of your WordPress installation with no additional servers, services or hosting configuration required.
Presenters:
Chris Scott, Voce Communications
Jon Handler, Solution Architect, Amazon CloudSearch
Amazon Route 53 is a highly available, scalable, and easy to use cloud Domain Name System (DNS) web service. With an SLA of 100% availability, Route 53 is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications. By using Route 53 as your DNS provider, you can ensure your application’s up-time, run architecture that delivers better performance, and provide your end users with a better experience through lower latency and faster load times, all at the fraction of the cost of other DNS providers. Learning Objective: In this webinar, you will learn the following: - General overview of DNS, and how Route 53 is built to provide reliable and secure DNS - Using the Route 53 console to manage your DNS, easily and seamlessly - Utilizing health checks and failover to ensure high availability - Configuring advanced routing policies, including running your application in multiple regions with LBR and Geo for better performance for your end users. - Saving costs by using Route 53 - Registering or transferring your domains into Route 53 to manage all of your domain resources from one place - How to start using Route 53, including migrating your DNS without experiencing any downtime.
In our last update we introduced Amazon CloudSearch. In this talk we're take it to the next level with a deep-dive on the service from the Amazon A9 team themselves. Hear the background on CloudSearch, as well as new features, new use cases, and new ways to access CloudSearch, and get to meet and question the team behind the service.
Sviluppare applicazioni voice-first con AWS e Amazon AlexaAmazon Web Services
Come possiamo sviluppare applicazioni che siano allo stesso tempo scalabili, manutenibili, cost-effective, intelligenti e voice-first? La suite di servizi AWS basati su Machine Learning e Deep Learning offre ad ogni sviluppatore la possibilità di integrare funzionalità avanzate di riconoscimento vocale, comprensione del linguaggio naturale, rendering audio e traduzione automatica.
In questo webinar, Alex ed Arianna discuteranno le tecniche e le best practice per implementare interfacce vocali tramite i servizi AWS. Arianna, technical evangelist per Amazon Alexa, introdurrà Alexa e mostrerà come sviluppare esperienze vocali per quest’ultima.
This document provides an overview of Amazon Web Services' machine learning capabilities, including:
- AI services like Rekognition, Polly, Transcribe, Translate, and Comprehend that perform tasks like image recognition, speech synthesis, speech-to-text, language translation, and natural language processing without requiring ML expertise.
- The Amazon SageMaker service for building, training, and deploying machine learning models at scale using Amazon Web Services products and infrastructure.
- Amazon's machine learning frameworks and infrastructure for training models, including EC2 instances optimized for ML workloads and elastic inference acceleration.
Generative Adversarial Networks (GANs) using Apache MXNetApache MXNet
The document provides an overview of generative adversarial networks (GANs) using Apache MXNet. It introduces GANs and deep learning concepts. It then demonstrates how to implement GANs using MXNet with examples like DCGAN. Finally, it discusses other GAN models and provides resources for using MXNet on AWS.
Serverless Text Analytics with Amazon ComprehendDonnie Prakoso
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text.
This deck provides how to build your own text analytics using Amazon Comprehend and integration with other AWS services. On top of that, this deck also provides an introduction to Amazon Lex.
This document discusses building a data lake on AWS. It notes that organizations that successfully generate value from data will outperform competitors. It outlines challenges of data visibility, multiple access mechanisms, and analyzers needing access. AWS is presented as the perfect solution with its storage, analysis and security capabilities at scale. Case studies of Celgene and IEP are presented that used AWS for their data lakes. Traditional analytics are separated from data warehousing, but data lakes extend this by including diverse data and analytical engines at larger scale with lower costs. The AWS portfolio for data lakes, analytics and IoT is presented as the most complete toolset. Building value from the data lake is discussed through machine learning, analytics, data movement and visualization.
[AWS Techshift] Innovation and AI/ML Sagemaker Build-in 머신러닝 모델 활용 및 Marketpl...Amazon Web Services Korea
The document discusses how Amazon SageMaker can help independent software vendors (ISVs) address common questions around building and monetizing machine learning capabilities. It outlines how ISVs without ML expertise can leverage SageMaker's pre-built algorithms and services to add AI features to their products. It also describes how ISVs with ML skills can sell their own algorithms and models through the AWS Marketplace for Machine Learning to generate revenue. Overall, the document provides an overview of SageMaker and how it enables ISVs to develop and commercialize AI-powered applications and models at scale.
The document provides a comparison of several collaboration and communication platforms: Communote, Coop, Cubetree, Cyn.in, and Elgg. It includes information on pricing, features, languages supported, and number of known customers for each. Communote is a German company offering a free tier for up to 10 users and pricing from 0-1 euro per user per month. Coop is free. Cubetree pricing ranges from 0-5 dollars per user per month. Cyn.in costs $499 per month for unlimited users. Elgg is an open source project.
Disaster Recovery with AWS - Simone Brunozzi - AWS Summit 2012 Australia - Amazon Web Services
Simone Brunozzi gave a presentation on implementing disaster recovery strategies using AWS cloud services. He discussed how AWS can be used to backup and restore data, maintain a pilot light architecture where core systems are replicated in AWS, and implement warm standby or multi-site solutions. Key benefits of AWS for DR include reduced infrastructure costs, ability to easily scale resources, pay only for what is used, and high security. Common architectures patterns like backup/restore, pilot light, warm standby and multi-site solutions were covered along with relevant AWS services.
DevOps on AWS: Advanced Techniques for Amazon EC2 Deployments on AWSAmazon Web Services
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- Using services like CodePipeline and CodeBuild to automate the build, test and deployment process
- The importance of automation, repeatable processes, and infrastructure as code to enable continuous delivery of changes
Learn the beginner to advanced strategies in search engine optimization by the SEOGoddess. Jenn Mathews has been optimizing websites since 1997 having worked as an in-house SEO Manager up to Director level for companies like Classmates.com. This unique approach to optimizing websites teaches you enough to either optimize your website yourself or know enough to understand what your consultant or SEO is suggesting.
The SEO with the SEOGoddess workshop is offered all over the U.S. at various Wappow! and other conferences, and in Seattle, WA as a stand alone 4 hour workshop. For more information visit http://wappow.com
Amazon Cloudsearch Session With Elsevier: re:Invent 2013 Michael Bohlig
Session SV302 from re:Invent 2013
Today's applications work across many different data assets - documents stored in Amazon S3, metadata stored in NoSQL data stores, catalogs and orders stored in relational database systems, raw files in filesystems, etc. Building a great search experience across all these disparate datasets and contexts can be daunting. Amazon CloudSearch provides simple, low-cost search, enabling your users to find the information they are looking for. In this session, we will show you how to integrate search with your application, including key areas such as data preparation, domain creation and configuration, data upload, integration of search UI, search performance and relevance tuning. We will cover search applications that are deployed for both desktop and mobile devices. Peter Simpkin from Elsevier provides a summary of their use of CloudSearch.
Building Great Mobile Search with Productsy and Amazon CloudSearchMichael Bohlig
Presented by Sameer Maggon, Co-Founder of Productsy at the Bay Area Amazon CloudSearch Meetup, this talk summarizes the unique challenges of delivering great mobile search and summarizes the Productsy platform.
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The document summarizes an Amazon CloudSearch meetup event in San Francisco on March 28, 2013. The agenda included talks on using CloudSearch with DynamoDB, EDU search applications, tuning search queries, and a user talk from SnapGuide. Jon Handler from Amazon presented on how to integrate CloudSearch with DynamoDB by uploading DynamoDB data to a CloudSearch domain, configuring fields, and keeping the services in sync.
The document is an introduction to Amazon CloudSearch presented in a webinar. It discusses how CloudSearch provides fully-managed search capabilities that automatically scale for data and traffic. It covers how to set up and configure search domains, upload documents, integrate search, and other topics. Pricing is based on instance types, document uploads, and index requests. Resources for learning more are provided.
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This document discusses Amazon Web Services (AWS) Identity and Access Management (IAM), as presented by Jim Scharf, Director of IAM. It provides an overview of IAM and how it enables control over access to AWS services and resources. Examples are given of how NASA uses AWS for scalable cloud-based processing of data from Mars rovers. The wide range of AWS services and capabilities are also outlined.
Amazon CloudSearch is a fully-managed search service that allows users to build search applications without having to manage any infrastructure. It automatically scales to support large data and traffic volumes. Users can build search applications in less than an hour and pay only for what they use on a pay-as-you-go basis with no upfront costs or commitments. CloudSearch supports both structured and unstructured data and provides features like faceting, range searching, fielded searching, and customizable relevance ranking.
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The document discusses how to get started with Amazon CloudSearch to add powerful search capabilities to web applications. It describes how CloudSearch allows developers to build search with low costs and without upfront expenditures. Developers can experiment quickly and scale easily. The document outlines how to create a CloudSearch domain, prepare and upload data, configure the domain, and integrate search through APIs.
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Want to offer your users more accurate search results for your WordPress websites and content? We will show you how to install and set up the Lift WordPress plugin for Amazon CloudSearch to improve your default WordPress search functionality. You will learn how to get better search relevancy, with faceting and search filters for post types and date ranges. Lift integrates with your existing Wordpress theme, with no need for customization, and runs on top of your WordPress installation with no additional servers, services or hosting configuration required.
Presenters:
Chris Scott, Voce Communications
Jon Handler, Solution Architect, Amazon CloudSearch
Amazon Route 53 is a highly available, scalable, and easy to use cloud Domain Name System (DNS) web service. With an SLA of 100% availability, Route 53 is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications. By using Route 53 as your DNS provider, you can ensure your application’s up-time, run architecture that delivers better performance, and provide your end users with a better experience through lower latency and faster load times, all at the fraction of the cost of other DNS providers. Learning Objective: In this webinar, you will learn the following: - General overview of DNS, and how Route 53 is built to provide reliable and secure DNS - Using the Route 53 console to manage your DNS, easily and seamlessly - Utilizing health checks and failover to ensure high availability - Configuring advanced routing policies, including running your application in multiple regions with LBR and Geo for better performance for your end users. - Saving costs by using Route 53 - Registering or transferring your domains into Route 53 to manage all of your domain resources from one place - How to start using Route 53, including migrating your DNS without experiencing any downtime.
In our last update we introduced Amazon CloudSearch. In this talk we're take it to the next level with a deep-dive on the service from the Amazon A9 team themselves. Hear the background on CloudSearch, as well as new features, new use cases, and new ways to access CloudSearch, and get to meet and question the team behind the service.
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Come possiamo sviluppare applicazioni che siano allo stesso tempo scalabili, manutenibili, cost-effective, intelligenti e voice-first? La suite di servizi AWS basati su Machine Learning e Deep Learning offre ad ogni sviluppatore la possibilità di integrare funzionalità avanzate di riconoscimento vocale, comprensione del linguaggio naturale, rendering audio e traduzione automatica.
In questo webinar, Alex ed Arianna discuteranno le tecniche e le best practice per implementare interfacce vocali tramite i servizi AWS. Arianna, technical evangelist per Amazon Alexa, introdurrà Alexa e mostrerà come sviluppare esperienze vocali per quest’ultima.
This document provides an overview of Amazon Web Services' machine learning capabilities, including:
- AI services like Rekognition, Polly, Transcribe, Translate, and Comprehend that perform tasks like image recognition, speech synthesis, speech-to-text, language translation, and natural language processing without requiring ML expertise.
- The Amazon SageMaker service for building, training, and deploying machine learning models at scale using Amazon Web Services products and infrastructure.
- Amazon's machine learning frameworks and infrastructure for training models, including EC2 instances optimized for ML workloads and elastic inference acceleration.
Generative Adversarial Networks (GANs) using Apache MXNetApache MXNet
The document provides an overview of generative adversarial networks (GANs) using Apache MXNet. It introduces GANs and deep learning concepts. It then demonstrates how to implement GANs using MXNet with examples like DCGAN. Finally, it discusses other GAN models and provides resources for using MXNet on AWS.
Serverless Text Analytics with Amazon ComprehendDonnie Prakoso
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text.
This deck provides how to build your own text analytics using Amazon Comprehend and integration with other AWS services. On top of that, this deck also provides an introduction to Amazon Lex.
This document discusses building a data lake on AWS. It notes that organizations that successfully generate value from data will outperform competitors. It outlines challenges of data visibility, multiple access mechanisms, and analyzers needing access. AWS is presented as the perfect solution with its storage, analysis and security capabilities at scale. Case studies of Celgene and IEP are presented that used AWS for their data lakes. Traditional analytics are separated from data warehousing, but data lakes extend this by including diverse data and analytical engines at larger scale with lower costs. The AWS portfolio for data lakes, analytics and IoT is presented as the most complete toolset. Building value from the data lake is discussed through machine learning, analytics, data movement and visualization.
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The document discusses how Amazon SageMaker can help independent software vendors (ISVs) address common questions around building and monetizing machine learning capabilities. It outlines how ISVs without ML expertise can leverage SageMaker's pre-built algorithms and services to add AI features to their products. It also describes how ISVs with ML skills can sell their own algorithms and models through the AWS Marketplace for Machine Learning to generate revenue. Overall, the document provides an overview of SageMaker and how it enables ISVs to develop and commercialize AI-powered applications and models at scale.
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GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away