The document discusses Amazon Web Services (AWS) artificial intelligence (AI) and machine learning (ML) services. It highlights AWS's mission to put ML in developers' hands and provide the broadest and deepest set of AI/ML services. It describes various AI services (e.g. computer vision, natural language processing) and ML services (e.g. model training/deployment, data labeling). It also provides examples of customers using AWS AI/ML services for applications like customer service, fraud detection, and product recommendations.
Artificial Intelligence (Machine Learning) on AWS: How to StartVladimir Simek
Amazon has been investing deeply in artificial intelligence (AI) for over 20 years. Machine learning (ML) algorithms drive many of its internal systems. It is also core to the capabilities Amazon's customers experience – from the path optimization in the fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, drone initiative Prime Air, and the new retail experience Amazon Go. This is just the beginning. Amazon's mission is to share learnings and ML capabilities as fully managed services, and put them into the hands of every developer and data scientist.
If you are interested, how can you develop ML-based smart applications on the AWS platform, and want to see a couple of cool demos, join us for the next AWS meetup. AWS Solutions Architect, Vladimir Simek, will be presenting the full AWS portfolio for AI and ML - from virtual servers enabled for training Deep Learning models up to a fully managed API-based services.
Speaker: Herbert-John Kelly, AWS
Customer Speaker: Data Prophet
Level: 200
Join us to hear about our strategy for driving machine learning (ML) innovation for our customers and learn what's new from AWS in the machine learning space. We will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
Artificial Intelligence (Machine Learning) on AWS: How to StartVladimir Simek
Amazon has been investing deeply in artificial intelligence (AI) for over 20 years. Machine learning (ML) algorithms drive many of its internal systems. It is also core to the capabilities Amazon's customers experience – from the path optimization in the fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, drone initiative Prime Air, and the new retail experience Amazon Go. This is just the beginning. Amazon's mission is to share learnings and ML capabilities as fully managed services, and put them into the hands of every developer and data scientist.
If you are interested, how can you develop ML-based smart applications on the AWS platform, and want to see a couple of cool demos, join us for the next AWS meetup. AWS Solutions Architect, Vladimir Simek, will be presenting the full AWS portfolio for AI and ML - from virtual servers enabled for training Deep Learning models up to a fully managed API-based services.
Speaker: Herbert-John Kelly, AWS
Customer Speaker: Data Prophet
Level: 200
Join us to hear about our strategy for driving machine learning (ML) innovation for our customers and learn what's new from AWS in the machine learning space. We will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
Art of the possible- Leveraging Machine Learning to Improve Forecasting and G...Amazon Web Services
Challenge: Customers require enhanced spend forecasting and prediction in order to optimize their AWS usage and more accurately track, monitor, and budget their spend. Solution: In support of our AWS MSP and reseller capability and business, ECS developed our own cloud management portal (Common Cloud) which processes thousands of billing records on a daily basis. We’ve deployed AWS ML solutions to support advanced financial analysis of trends/usage for both customers and our AWS business unit and to deliver advanced forecasting and prediction models for monthly costs using a regression-based linear learner model. This session is sponsored by ECS.
Introduction to AI on AWS - AL/ML Hebrew WebinarBoaz Ziniman
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.
SKL208 - Turbocharge your Business with AI and Machine Learning - Tel Aviv Su...Boaz Ziniman
This session will focus on the basic building blocks of Artificial Intelligence (AI) and Machine Learning (ML) using AWS services. It will help you to identify use cases for ML with real-world examples, and help you create the right conditions for delivering successful ML-based solutions to your business.
Mike Gillespie - Build Intelligent Applications with AWS ML Services (200).pdfAmazon Web Services
Organizations are increasingly turning to machine learning to build intelligent applications and get more insights out of their data in real-time. In this session, you’ll learn about AWS Machine Learning APIs for computer vision and language, and how to get started with these pre-trained services: Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, Amazon Translate, Amazon Polly, and Amazon Lex. We’ll also show how these services connect to AWS’s comprehensive data platform and services to drive the success of your machine learning projects.
Learn how to easily add Amazon AI services to your own applications. Find out how to access image and video analysis, text to speech, speech to text, translation, natural language processing: all of which are just an API call away. You'll learn about Amazon SageMaker, Amazon Translate, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Rekognition, we'll show you how to quickly get started with these services, with zero AI expertise required.
Speaker: François-Xavier Gsell, Solutions Architect, Amazon 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.
Breaking Language Barriers with AI - Web Summit 2018Boaz Ziniman
AI and machine learning allow developers to introduce new language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience. This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We'll build an automatic translator, interact with text to speech and try to extract sentiments from live text coming from different feeds.
IoT from Cloud to Edge & Back Again - WebSummit 2018Boaz Ziniman
Building IoT solutions require a lot of heavy lifting. AWS IoT helps you deal with security, connectivity, date, business logic, updates and more and allows you to extend cloud capabilities to your edge devices. In this tech talk, we'll discuss the challenges of running IoT devices and how constrained devices can leverage AWS IoT. We'll use AWS IoT Button and other devices to demonstrate building a real, securely connected, product with AWS IoT.
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.
Financial Svcs: Build Customer-Centric Contact Centers with Amazon Connect an...Amazon Web Services
How can Financial Services companies meet growing customer demands for personalized, high-quality service while satisfying regulatory obligations? In this session, learn how Amazon Connect, a self-service, cloud-based contact center, can integrate with machine learning services on AWS such as Amazon Transcribe, Amazon Comprehend, and Amazon Lex to enable financial institutions to deliver transformational omni-channel experiences to their customers while complying with regulations like MiFID II, the GDPR, and the SEC's data retention rules. Learn how to use Amazon Connect to easily set up a cloud-based contact center solution that scales to support businesses of any size. Then learn how to integrate Amazon Connect with machine learning services on AWS to make contact center content available for search and analysis by natural language processing tools, which can yield valuable insights into customer sentiment, customer preferences, and the most common issues customers raise during service interactions.
Speaker: Osemeke Isibor, Solutions Architect, AWS
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and text-to-speech (TTS) with Amazon Polly, visual search and image recognition with Amazon Rekognition, and developer-focused machine learning with Amazon Machine Learning. In this talk you will learn about these services and see demos of their capabilities
Introduction to AWS Machine Learning Application Services - BDA202 - Atlanta ...Amazon Web Services
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we learn about new language capabilities and text-in-image extraction. We also share how others are building the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Improving Customer Experience with Amazon Connect – The AI Driven Contact Cen...Amazon Web Services
Customer service expectations continue to evolve and call centres are about to change before our eyes. By capturing and analysing customer service interactions, you can better identify the root cause of issues and improve first-call resolution and customer satisfaction. In this session, learn how to integrate Amazon Connect, a modern, cloud-based contact centre, and AWS machine learning services to quickly process and analyse thousands of customer conversations and gain valuable insights. With speech and text analytics, you can pick up on emerging service-related trends before they get escalated or identify and address a potential widespread problem at its inception.
AWS Customers can revolutionize their engagement and service of customers and constituents powered by the same technology and tools used for Amazon.com. Amazon Connect is an easy-to use, cloud-based contact center solution for governments and businesses that want to deliver a personalized, customer-centric experience. Join Mike Vozas and Jason Shaffer, Public Sector Amazon Connect Experts who will share some of our public sector customer success stories, partner solutions, and best practices for using Amazon Connect in the State and Local Government, Nonprofits, and Federal Government.
Building the Business of the Future: Leveraging A.I. and Machine Learning - A...Amazon Web Services
<Management Track>
Olivier Klein, Emerging Technologies Solutions Architect, Amazon Web Services
Artificial Intelligence (AI) and Machine Learning (ML) are no longer the stuff of science fiction. Organizations are increasingly using A.I. and Machine Learning to drive innovation -- namely, Amazon.com's retail experience. Join us for an inside look at how Amazon thinks about this technology, and gain insight into a range of new AI/ML services offered by AWS for use in your own business.
The Future of AI - AllCloud Best of reInventBoaz Ziniman
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.
Learn to identify use cases for machine learning (ML), acquire best practices to frame problems in a way that key stakeholders and senior management can understand and support, and help create the right conditions for delivering successful ML-based solutions to your business.
Art of the possible- Leveraging Machine Learning to Improve Forecasting and G...Amazon Web Services
Challenge: Customers require enhanced spend forecasting and prediction in order to optimize their AWS usage and more accurately track, monitor, and budget their spend. Solution: In support of our AWS MSP and reseller capability and business, ECS developed our own cloud management portal (Common Cloud) which processes thousands of billing records on a daily basis. We’ve deployed AWS ML solutions to support advanced financial analysis of trends/usage for both customers and our AWS business unit and to deliver advanced forecasting and prediction models for monthly costs using a regression-based linear learner model. This session is sponsored by ECS.
Introduction to AI on AWS - AL/ML Hebrew WebinarBoaz Ziniman
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.
SKL208 - Turbocharge your Business with AI and Machine Learning - Tel Aviv Su...Boaz Ziniman
This session will focus on the basic building blocks of Artificial Intelligence (AI) and Machine Learning (ML) using AWS services. It will help you to identify use cases for ML with real-world examples, and help you create the right conditions for delivering successful ML-based solutions to your business.
Mike Gillespie - Build Intelligent Applications with AWS ML Services (200).pdfAmazon Web Services
Organizations are increasingly turning to machine learning to build intelligent applications and get more insights out of their data in real-time. In this session, you’ll learn about AWS Machine Learning APIs for computer vision and language, and how to get started with these pre-trained services: Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, Amazon Translate, Amazon Polly, and Amazon Lex. We’ll also show how these services connect to AWS’s comprehensive data platform and services to drive the success of your machine learning projects.
Learn how to easily add Amazon AI services to your own applications. Find out how to access image and video analysis, text to speech, speech to text, translation, natural language processing: all of which are just an API call away. You'll learn about Amazon SageMaker, Amazon Translate, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Rekognition, we'll show you how to quickly get started with these services, with zero AI expertise required.
Speaker: François-Xavier Gsell, Solutions Architect, Amazon 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.
Breaking Language Barriers with AI - Web Summit 2018Boaz Ziniman
AI and machine learning allow developers to introduce new language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience. This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We'll build an automatic translator, interact with text to speech and try to extract sentiments from live text coming from different feeds.
IoT from Cloud to Edge & Back Again - WebSummit 2018Boaz Ziniman
Building IoT solutions require a lot of heavy lifting. AWS IoT helps you deal with security, connectivity, date, business logic, updates and more and allows you to extend cloud capabilities to your edge devices. In this tech talk, we'll discuss the challenges of running IoT devices and how constrained devices can leverage AWS IoT. We'll use AWS IoT Button and other devices to demonstrate building a real, securely connected, product with AWS IoT.
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.
Financial Svcs: Build Customer-Centric Contact Centers with Amazon Connect an...Amazon Web Services
How can Financial Services companies meet growing customer demands for personalized, high-quality service while satisfying regulatory obligations? In this session, learn how Amazon Connect, a self-service, cloud-based contact center, can integrate with machine learning services on AWS such as Amazon Transcribe, Amazon Comprehend, and Amazon Lex to enable financial institutions to deliver transformational omni-channel experiences to their customers while complying with regulations like MiFID II, the GDPR, and the SEC's data retention rules. Learn how to use Amazon Connect to easily set up a cloud-based contact center solution that scales to support businesses of any size. Then learn how to integrate Amazon Connect with machine learning services on AWS to make contact center content available for search and analysis by natural language processing tools, which can yield valuable insights into customer sentiment, customer preferences, and the most common issues customers raise during service interactions.
Speaker: Osemeke Isibor, Solutions Architect, AWS
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and text-to-speech (TTS) with Amazon Polly, visual search and image recognition with Amazon Rekognition, and developer-focused machine learning with Amazon Machine Learning. In this talk you will learn about these services and see demos of their capabilities
Introduction to AWS Machine Learning Application Services - BDA202 - Atlanta ...Amazon Web Services
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we learn about new language capabilities and text-in-image extraction. We also share how others are building the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Improving Customer Experience with Amazon Connect – The AI Driven Contact Cen...Amazon Web Services
Customer service expectations continue to evolve and call centres are about to change before our eyes. By capturing and analysing customer service interactions, you can better identify the root cause of issues and improve first-call resolution and customer satisfaction. In this session, learn how to integrate Amazon Connect, a modern, cloud-based contact centre, and AWS machine learning services to quickly process and analyse thousands of customer conversations and gain valuable insights. With speech and text analytics, you can pick up on emerging service-related trends before they get escalated or identify and address a potential widespread problem at its inception.
AWS Customers can revolutionize their engagement and service of customers and constituents powered by the same technology and tools used for Amazon.com. Amazon Connect is an easy-to use, cloud-based contact center solution for governments and businesses that want to deliver a personalized, customer-centric experience. Join Mike Vozas and Jason Shaffer, Public Sector Amazon Connect Experts who will share some of our public sector customer success stories, partner solutions, and best practices for using Amazon Connect in the State and Local Government, Nonprofits, and Federal Government.
Building the Business of the Future: Leveraging A.I. and Machine Learning - A...Amazon Web Services
<Management Track>
Olivier Klein, Emerging Technologies Solutions Architect, Amazon Web Services
Artificial Intelligence (AI) and Machine Learning (ML) are no longer the stuff of science fiction. Organizations are increasingly using A.I. and Machine Learning to drive innovation -- namely, Amazon.com's retail experience. Join us for an inside look at how Amazon thinks about this technology, and gain insight into a range of new AI/ML services offered by AWS for use in your own business.
The Future of AI - AllCloud Best of reInventBoaz Ziniman
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.
Learn to identify use cases for machine learning (ML), acquire best practices to frame problems in a way that key stakeholders and senior management can understand and support, and help create the right conditions for delivering successful ML-based solutions to your business.
Turbocharge your business with AI and Machine Learning | AWS Summit Tel Aviv ...Amazon Web Services
We will also present Amazon DocumentDB (with MongoDB compatibility), a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.
Learn to identify use cases for machine learning (ML), acquire best practices to frame problems in a way that key stakeholders and senior management can understand and support, and help create the right conditions for delivering successful ML-based solutions to your business.
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we will share how to build the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.Automating the provisioning, configuration and deployment of complex applications requires some design choices on top of AWS services. This presentation discusses how to implement modularity, reliability and security into continuous delivery pipelines ("DevSecOps"). Learn how to automate application delivery using AWS CloudFormation and other tools from Amazon Web 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.
For the Enterprise, Artificial Intelligence (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. Augmented Reality (AR) and Virtual Reality (VR) based solutions offer a promising future in the enterprise allowing engagement with data in innovative ways. In this session, we take a look at how AWS is democratizing AI, AR and VR to enable innovation in the enterprise by building applications quickly and easily without requiring specialized programming.
Transform the Modern Contact Center Using Machine Learning and Analytics (AIM...Amazon Web Services
Analyzing customer service interactions across channels provides a complete 360-degree view of customers. By capturing all interactions, you can better identify the root cause of issues and improve first-call resolution and customer satisfaction. In this session, learn how to integrate Amazon Connect and AWS machine learning services, such Amazon Lex, Amazon Transcribe, and Amazon Comprehend, to quickly process and analyze thousands of customer conversations and gain valuable insights. With speech and text analytics, you can pick up on emerging service-related trends before they get escalated or identify and address a potential widespread problem at its inception.
Introduction to AWS ML Application Services - BDA202 - Toronto AWS SummitAmazon Web Services
Amazon brings computer vision, natural language processing, speech recognition, text-to-speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built AI functionality into their applications and automate manual workflows. Join us to learn more about new language capabilities and text-in-image extraction. We also share how others are building the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
challenges and difficulties that you may think when you are trying to use cloud services which maybe used in many fields with also customers success stories in consuming such services.
Drive Digital Transformation Using Machine LearningAWS Summits
Learn to identify use cases for machine learning (ML), acquire best practices to frame problems in a way that key stakeholders and senior management can understand and support, and help create the right conditions for delivering successful ML-based solutions to your business.
Alex Coqueiro, Senior Manager Solutions Architect, Amazon Web Services
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we will share how to build the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Use AI to create better customer experiences. Support contact centre modernization, conversational interfaces, crowd analytics, process automation, and content moderation with AI and ML.
Amazon brings computer vision, natural language processing (NLP), speech recognition, text to speech, and machine translation within the reach of every developer. API-driven application services enable developers to easily plug in pre-built artificial intelligence (AI) functionality into their applications, and to automate manual workflows. In this session, we will share how to build the next generation of intelligent apps that can see, hear, speak, understand, and interact with the world around us.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
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/
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.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath