A lightening talk about the OpenCage geocoder - see http://geocoder.opencagedata.com - to be presented at #londonapi by Ed Freyfogle (@freyfogle) on 17th September 2014
OpenCage Data and sustainable business models for open data lokku
A talk presented by Ed Freyfogle 25th Sept 2014 at the APIconUK conference in London. The talk introduces the OpenCage geocoder and describes our considerations in developing a sustainable and scalable business model around open data.
The document discusses geocoding and location data. It describes how the company maps millions of properties across multiple countries. Examples are given of location data received for different addresses worldwide. Challenges with geocoding and trusting data are mentioned. A tool called Veocoder is introduced that can geocode text and extract place hierarchies without relying on perfect input data. The document invites the reader to work with the company to help improve geocoding.
The document summarizes a discussion between property portal representatives on key issues facing their industry. It explores topics like the importance of content and databases, user experience over ownership, new business models, and challenges from companies like Google. Representatives discussed whether things like size, speed, or openness matter more and if old models like print and SEO reliance remain viable. New approaches are needed as user preferences change and technology evolves rapidly.
A living hell - lessons learned in eight years of parsing real estate data lokku
The document summarizes the challenges faced by Nestoria in processing real estate listings data from various sources. It discusses issues like inconsistent and changing data formats, poor data quality, lack of unique identifiers, and misaligned incentives between Nestoria and its data partners. Despite the garbage in, Nestoria aims to turn it into something useful through extensive testing, embracing UNIX principles, and focusing on cultural rather than just technical problems.
Nestoria case study - The effective use of geo-data for search marketinglokku
A Case Study of How Nestoria used Geo-Data for effective local search marketing, using geo-location data extracted from Open Street Maps and other geodata sources to increase traffic and reduce costs for local search advertising
Professional SEO Company Profile is perfectly design by experienced Business consultant. You can Get SEO Services from This company ( Getacho ). www.getacho.com
This document summarizes a company's experience providing location-based search services using proprietary geocoding software. The company has 8+ years of experience indexing millions of properties daily and returning search results across 8 countries and 6 languages. It geocodes data using open sources like OpenStreetMap and then matches user search queries to relevant listings based on coordinates. This involves handling ambiguous, incomplete or incorrect data as well as cultural and linguistic differences across countries.
OpenCage Data and sustainable business models for open data lokku
A talk presented by Ed Freyfogle 25th Sept 2014 at the APIconUK conference in London. The talk introduces the OpenCage geocoder and describes our considerations in developing a sustainable and scalable business model around open data.
The document discusses geocoding and location data. It describes how the company maps millions of properties across multiple countries. Examples are given of location data received for different addresses worldwide. Challenges with geocoding and trusting data are mentioned. A tool called Veocoder is introduced that can geocode text and extract place hierarchies without relying on perfect input data. The document invites the reader to work with the company to help improve geocoding.
The document summarizes a discussion between property portal representatives on key issues facing their industry. It explores topics like the importance of content and databases, user experience over ownership, new business models, and challenges from companies like Google. Representatives discussed whether things like size, speed, or openness matter more and if old models like print and SEO reliance remain viable. New approaches are needed as user preferences change and technology evolves rapidly.
A living hell - lessons learned in eight years of parsing real estate data lokku
The document summarizes the challenges faced by Nestoria in processing real estate listings data from various sources. It discusses issues like inconsistent and changing data formats, poor data quality, lack of unique identifiers, and misaligned incentives between Nestoria and its data partners. Despite the garbage in, Nestoria aims to turn it into something useful through extensive testing, embracing UNIX principles, and focusing on cultural rather than just technical problems.
Nestoria case study - The effective use of geo-data for search marketinglokku
A Case Study of How Nestoria used Geo-Data for effective local search marketing, using geo-location data extracted from Open Street Maps and other geodata sources to increase traffic and reduce costs for local search advertising
Professional SEO Company Profile is perfectly design by experienced Business consultant. You can Get SEO Services from This company ( Getacho ). www.getacho.com
This document summarizes a company's experience providing location-based search services using proprietary geocoding software. The company has 8+ years of experience indexing millions of properties daily and returning search results across 8 countries and 6 languages. It geocodes data using open sources like OpenStreetMap and then matches user search queries to relevant listings based on coordinates. This involves handling ambiguous, incomplete or incorrect data as well as cultural and linguistic differences across countries.
Nestoria is a property search engine that indexes millions of properties every day. Since mid 2006 the product has evolved into a service must run on multiple devices and browsers. In this talk I introduce Nestoria New Design and the context in which this project was born, and discuss some of the challenges our company has faced during the project. This talk was presented as part of the Commercial Computing Lecture Series at the University of Birmingham.
CSS::SpriteMaker is a Perl module that allows you to create CSS Image Sprites. A CSS Image sprite is an image containing smaller images, plus a CSS stylesheet that allows the browser to render each smaller image. In this talk I present CSS::SpriteMaker by example, covering its advanced layouts and features.
CSS::SpriteMaker is a Perl module that allows users to combine multiple images into a single sprite image and generate corresponding CSS code. It aims to provide a native Perl solution for creating CSS sprites without relying on other languages. The module implements different layout algorithms to organize images in the sprite and allows users to generate sprites from the command line or integrate it into their applications. Future plans include adding more layouts, tests, abstracting the imaging and stylesheet generation, and a binary for command line usage.
Geo-data for Search Marketing SEM & SEO - how to get accurate and affordable geo-localised data for search marketing. The challenges of getting accurate geo-data for targeted local search marketing. How to target long tail searches on search engines like Google and Bing using geo-targeted search keywords and ad copies.
Making using OSM data simpler - OpenCage Data lokku
Presented by @freyfogle at the OSMPLUS conference on 10 June 2013
A description of our experiences trying to use OpenStreetMap data at Nestoria, the difficulties we faced and how hey formed our motivations for starting OpenCage Data, a new service to make custom data extraction simple and affordable http://opencagedata.com
A brief overview of some of the technical options evaluated in our switch to OpenStreetMap maps. Presented on 16th of February, 2012 at London Geomob event: http://geomobldn.org
Geocoding is the process of finding geographic coordinates from other data like addresses or zip codes. There are many remote geocoding services that can be used through an API but they have different formats, limits, and concepts of precision. Geo::Coder::Many provides a single interface to query multiple geocoding services and intelligently handles caching, failover, and common use cases. The code example shows how to create a Geo::Coder::Many object, add different geocoding services to it, set filters and pickers, and perform a geocoding request.
Lessons learned in doing lots with few peoplelokku
This document provides lessons learned from operating a company with few employees. It advises doing less, better work by focusing on quality over quantity. It emphasizes the importance of processes, documentation, reusable code, and allowing new employees to easily join the team. Automated testing and clear procedures are suggested to prevent surprises.
This document discusses Mapstraction, an open source JavaScript library that provides a unified API for different mapping APIs and providers. It allows developers to use a single code base while taking advantage of features from different mapping services. This reduces dependency on any single provider and offers flexibility. The document provides a brief history of Mapstraction, describes some of its key features, and includes a mini tutorial for using the latest version. It notes that while Mapstraction is actively developed, more support for additional providers and features is still needed.
This job posting is seeking candidates interested in LAMP (php), OpenStreetMap, Javascript, APIs, internationalization, or product management to join their company. The posting encourages applicants who can speak Strine and provides links to the company blog and social media profiles for more information.
The document discusses how people search for locations and provides examples of common mistakes and issues. It notes that users often make spelling mistakes in their searches or provide too much or too little information. It also highlights usability issues with search boxes sometimes not being prominently displayed. The document recommends that OpenStreetMap could make location searching easier by improving its search capabilities, which are currently not prominently featured on osm.org. It offers to sponsor efforts to improve OSM's geo-parsing abilities to better handle common search issues and mistakes.
Arbyte - A modular, flexible, scalable job queing and execution systemlokku
Arbyte is a job queuing and execution framework created by Alistair N. MacLeod as an alternative to existing systems like Gearman and TheSchwartz. It uses a modular architecture with components like a JobBuffer for storing jobs, a JobRunner for executing jobs, and JobExecutors that correspond to job types. The framework is implemented in Perl using homemade objects and supports distributed deployment on servers or clouds. Future work includes improving JobBuffer and JobRunner implementations and submitting Arbyte to CPAN.
The document provides tips for planning debugging activities at Nestoria including:
1) Establishing version control, build environments, and testing to catch bugs early.
2) Ensuring documentation is accurate to avoid incorrect assumptions.
3) Using logging and monitoring tools like Log4Perl to make issues easier to identify.
4) Adding command line options, help messages, and dry runs to scripts to help understand what they are doing.
5) Improving processes for reporting and diagnosing bugs by collecting relevant request information.
This document discusses different methods for profiling Perl code, including general code profilers that record timing data by line, subroutine, or source file, as well as domain-specific profilers. It highlights Devel::NYTProf as the new preferred option, noting its improved accuracy over Devel::DProf due to fixing a timing issue, its ability to perform block-level profiling which was a Perl first, and its convenient and useful output format. However, it also mentions that Devel::NYTProf still has issues with recursion calls that need to be addressed.
This document discusses the commercial viability of using OpenStreetMap data. It describes a property search engine company that has sponsored OpenStreetMap conferences for two years and has created a parallel version of their site using OpenStreetMap data instead of proprietary map data. The main barriers to using OpenStreetMap data more widely are its lack of comprehensiveness and usability, such as difficulty extracting location data like metro station names and coordinates for a country. The company wants to help make contributing and extracting data from OpenStreetMap easier to improve its viability for commercial and other uses.
The document discusses Perl testing tools like Test::Harness that allow for automated testing of Perl modules. It provides an example of using Test::Harness to test a module called Acme::Test and outputs the results in the TAP format. The document also lists many other Perl testing and development modules that can be used for tasks like profiling, benchmarking, and code coverage analysis.
This document discusses lessons learned from taking a geocentric mashup service to becoming a business. It highlights challenges such as geocoding addresses from different countries and understanding user intent from text queries. It also discusses the benefits of making geographic data openly accessible through APIs and formats like GeoRSS to encourage sharing and building of geocommunities without need for specialized GIS tools.
Nestoria is a property search engine that indexes millions of properties every day. Since mid 2006 the product has evolved into a service must run on multiple devices and browsers. In this talk I introduce Nestoria New Design and the context in which this project was born, and discuss some of the challenges our company has faced during the project. This talk was presented as part of the Commercial Computing Lecture Series at the University of Birmingham.
CSS::SpriteMaker is a Perl module that allows you to create CSS Image Sprites. A CSS Image sprite is an image containing smaller images, plus a CSS stylesheet that allows the browser to render each smaller image. In this talk I present CSS::SpriteMaker by example, covering its advanced layouts and features.
CSS::SpriteMaker is a Perl module that allows users to combine multiple images into a single sprite image and generate corresponding CSS code. It aims to provide a native Perl solution for creating CSS sprites without relying on other languages. The module implements different layout algorithms to organize images in the sprite and allows users to generate sprites from the command line or integrate it into their applications. Future plans include adding more layouts, tests, abstracting the imaging and stylesheet generation, and a binary for command line usage.
Geo-data for Search Marketing SEM & SEO - how to get accurate and affordable geo-localised data for search marketing. The challenges of getting accurate geo-data for targeted local search marketing. How to target long tail searches on search engines like Google and Bing using geo-targeted search keywords and ad copies.
Making using OSM data simpler - OpenCage Data lokku
Presented by @freyfogle at the OSMPLUS conference on 10 June 2013
A description of our experiences trying to use OpenStreetMap data at Nestoria, the difficulties we faced and how hey formed our motivations for starting OpenCage Data, a new service to make custom data extraction simple and affordable http://opencagedata.com
A brief overview of some of the technical options evaluated in our switch to OpenStreetMap maps. Presented on 16th of February, 2012 at London Geomob event: http://geomobldn.org
Geocoding is the process of finding geographic coordinates from other data like addresses or zip codes. There are many remote geocoding services that can be used through an API but they have different formats, limits, and concepts of precision. Geo::Coder::Many provides a single interface to query multiple geocoding services and intelligently handles caching, failover, and common use cases. The code example shows how to create a Geo::Coder::Many object, add different geocoding services to it, set filters and pickers, and perform a geocoding request.
Lessons learned in doing lots with few peoplelokku
This document provides lessons learned from operating a company with few employees. It advises doing less, better work by focusing on quality over quantity. It emphasizes the importance of processes, documentation, reusable code, and allowing new employees to easily join the team. Automated testing and clear procedures are suggested to prevent surprises.
This document discusses Mapstraction, an open source JavaScript library that provides a unified API for different mapping APIs and providers. It allows developers to use a single code base while taking advantage of features from different mapping services. This reduces dependency on any single provider and offers flexibility. The document provides a brief history of Mapstraction, describes some of its key features, and includes a mini tutorial for using the latest version. It notes that while Mapstraction is actively developed, more support for additional providers and features is still needed.
This job posting is seeking candidates interested in LAMP (php), OpenStreetMap, Javascript, APIs, internationalization, or product management to join their company. The posting encourages applicants who can speak Strine and provides links to the company blog and social media profiles for more information.
The document discusses how people search for locations and provides examples of common mistakes and issues. It notes that users often make spelling mistakes in their searches or provide too much or too little information. It also highlights usability issues with search boxes sometimes not being prominently displayed. The document recommends that OpenStreetMap could make location searching easier by improving its search capabilities, which are currently not prominently featured on osm.org. It offers to sponsor efforts to improve OSM's geo-parsing abilities to better handle common search issues and mistakes.
Arbyte - A modular, flexible, scalable job queing and execution systemlokku
Arbyte is a job queuing and execution framework created by Alistair N. MacLeod as an alternative to existing systems like Gearman and TheSchwartz. It uses a modular architecture with components like a JobBuffer for storing jobs, a JobRunner for executing jobs, and JobExecutors that correspond to job types. The framework is implemented in Perl using homemade objects and supports distributed deployment on servers or clouds. Future work includes improving JobBuffer and JobRunner implementations and submitting Arbyte to CPAN.
The document provides tips for planning debugging activities at Nestoria including:
1) Establishing version control, build environments, and testing to catch bugs early.
2) Ensuring documentation is accurate to avoid incorrect assumptions.
3) Using logging and monitoring tools like Log4Perl to make issues easier to identify.
4) Adding command line options, help messages, and dry runs to scripts to help understand what they are doing.
5) Improving processes for reporting and diagnosing bugs by collecting relevant request information.
This document discusses different methods for profiling Perl code, including general code profilers that record timing data by line, subroutine, or source file, as well as domain-specific profilers. It highlights Devel::NYTProf as the new preferred option, noting its improved accuracy over Devel::DProf due to fixing a timing issue, its ability to perform block-level profiling which was a Perl first, and its convenient and useful output format. However, it also mentions that Devel::NYTProf still has issues with recursion calls that need to be addressed.
This document discusses the commercial viability of using OpenStreetMap data. It describes a property search engine company that has sponsored OpenStreetMap conferences for two years and has created a parallel version of their site using OpenStreetMap data instead of proprietary map data. The main barriers to using OpenStreetMap data more widely are its lack of comprehensiveness and usability, such as difficulty extracting location data like metro station names and coordinates for a country. The company wants to help make contributing and extracting data from OpenStreetMap easier to improve its viability for commercial and other uses.
The document discusses Perl testing tools like Test::Harness that allow for automated testing of Perl modules. It provides an example of using Test::Harness to test a module called Acme::Test and outputs the results in the TAP format. The document also lists many other Perl testing and development modules that can be used for tasks like profiling, benchmarking, and code coverage analysis.
This document discusses lessons learned from taking a geocentric mashup service to becoming a business. It highlights challenges such as geocoding addresses from different countries and understanding user intent from text queries. It also discusses the benefits of making geographic data openly accessible through APIs and formats like GeoRSS to encourage sharing and building of geocommunities without need for specialized GIS tools.
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.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
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!
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP