Learning spiral has a workforce with diverse set of skills and the ability to deliver data annotation and data labelling at scale. Source (S): https://www.learningspiral.ai/
Shufti Pro| Digital Identity Verification SolutionJoshuaVictor10
Shufti Pro provides global KYC/AML identity verification services to verify customers for businesses. It can verify over 3,000 identity documents from 230 countries and territories in real-time. Shufti Pro uses machine learning to detect forged documents and verify faces, addresses, and more. It offers customizable verification solutions that are compliant with various regulatory requirements.
Image annotation is one of the most important annotation types for both ML and AI-based projects. Learning Spiral, a data labeling company provides data annotation and data labeling services including qualitative LiDAR Annotation & Image Annotation services. SOURCE: https://learningspiral.ai/
Data Annotation in 2020 is used to create huge amounts of annotated data like pictures text images videos that are used to train machines and make them functional for AI-based projects. SOURCE(S): https://learningspiral.ai/
Learning Spiral offers Quality Data services that provide potential to your Algorithms. It is a privately owned company and has been in the Client Servicing industry for more than 10 years.
Visit: https://learningspiral.ai/
Data annotation involves labeling different types of data such as text, audio, images, and video to categorize and tag the information. It is done by assigning metadata to data to help machines understand its meaning and content. Data annotation services can be found at https://www.learningspiral.ai or by calling 7224061676.
Data annotation involves labeling different types of data such as text, audio, images, and video to categorize and tag the information. It is done by assigning metadata to data to help machines understand its meaning and content. Data annotation services can be found at https://www.learningspiral.ai or by calling 7224061676.
Data annotation is the process of labeling text, video, and image data to improve accuracy and enhance the end-user experience. There are several types of data annotation including sequencing, categorization, segmentation, and mapping. Data Annotation Company provides data annotation services and can be reached at 7224061676 or https://www.learningspiral.ai/.
Data annotation is the process of labeling text, video, or image data to improve accuracy and enhance the end-user experience. There are several types of data annotation including sequencing, categorization, segmentation, and mapping. Data Annotation Company provides data annotation services to help improve machine learning models.
Shufti Pro| Digital Identity Verification SolutionJoshuaVictor10
Shufti Pro provides global KYC/AML identity verification services to verify customers for businesses. It can verify over 3,000 identity documents from 230 countries and territories in real-time. Shufti Pro uses machine learning to detect forged documents and verify faces, addresses, and more. It offers customizable verification solutions that are compliant with various regulatory requirements.
Image annotation is one of the most important annotation types for both ML and AI-based projects. Learning Spiral, a data labeling company provides data annotation and data labeling services including qualitative LiDAR Annotation & Image Annotation services. SOURCE: https://learningspiral.ai/
Data Annotation in 2020 is used to create huge amounts of annotated data like pictures text images videos that are used to train machines and make them functional for AI-based projects. SOURCE(S): https://learningspiral.ai/
Learning Spiral offers Quality Data services that provide potential to your Algorithms. It is a privately owned company and has been in the Client Servicing industry for more than 10 years.
Visit: https://learningspiral.ai/
Data annotation involves labeling different types of data such as text, audio, images, and video to categorize and tag the information. It is done by assigning metadata to data to help machines understand its meaning and content. Data annotation services can be found at https://www.learningspiral.ai or by calling 7224061676.
Data annotation involves labeling different types of data such as text, audio, images, and video to categorize and tag the information. It is done by assigning metadata to data to help machines understand its meaning and content. Data annotation services can be found at https://www.learningspiral.ai or by calling 7224061676.
Data annotation is the process of labeling text, video, and image data to improve accuracy and enhance the end-user experience. There are several types of data annotation including sequencing, categorization, segmentation, and mapping. Data Annotation Company provides data annotation services and can be reached at 7224061676 or https://www.learningspiral.ai/.
Data annotation is the process of labeling text, video, or image data to improve accuracy and enhance the end-user experience. There are several types of data annotation including sequencing, categorization, segmentation, and mapping. Data Annotation Company provides data annotation services to help improve machine learning models.
Learning spiral has a workforce with diverse set of skills and the ability to deliver data annotation and data labelling at scale.
SOURCE: https://www.learningspiral.ai/
Computer vision is defined as “a subset of mainstream artificial intelligence that deals with the science of making computers or machines visually enabled, i.e., they can analyze and understand an image.”
Learning Spiral is a one-stop data labeling and annotation service provider that offers image annotation, natural language processing, computer vision, and digital publishing services. Their services include bounding box annotation, polygon annotation, sentiment analysis, data enhancement, and content services. They aim to deliver data annotation and labeling at scale using an in-house team of skilled and experienced professionals.
Learning spiral has a workforce with diverse set of skills and the ability to deliver data annotation and data labelling at scale. Source (S): https://www.learningspiral.ai/
The document outlines 5 common digital marketing mistakes to avoid in 2019. The first mistake is not having clear goals for marketing efforts. The second mistake is not engaging on social media, which is crucial for communicating with target audiences. The third mistake is not properly understanding search engine optimization and how to hire an SEO agency to help rank higher. The fourth mistake is not promoting created content, which results in low readership. The fifth mistake is not giving marketing strategies enough time, as results may not be immediate though the digital world moves quickly.
Learning Spiral is a leading provider of university management software that helps streamline activities like enrollment, exam management, results processing, and more. Their software solution manages all student data from admission through placement and allows universities to handle HR/payroll, accounting, grievances and other administrative functions in a centralized, automated system. Learning Spiral has served over 35 universities in India, impacting over 3 million students.
Learning Spiral is a leading provider of university management system software that can streamline activities for small and large universities. The software allows for enrollment management, fully mobile access, exam activity management, evaluation processes, and exam confidentiality. It has capabilities like serving over 35 universities, impacting over 3 million students, and offering HR/payroll, campus, accounting, and RTI/grievance management modules. The document promotes this software as a solution for automating university operations and management of academics and evaluations.
Learning Spiral provides a robust online examination system called UCanAssess that allows educational organizations and companies to conduct assessments and manage applicants. The system can be customized based on requirements, benefits coaching institutes and schools by saving paper, time, and students' money while providing a secure method for conducting exams remotely.
SmartExam is a university examination management system that handles all exam processes from student enrollment to report generation. It streamlines enrollment, pre-exam, exam evaluation, post-exam, and confidential activities. The system allows for online applications and payments, admit card generation, online exam marking, automated result processing, and report customization. SmartExam aims to help universities efficiently manage their entire examination lifecycle.
The document describes SmartExam, an online university examination system that manages all aspects of the exam process from enrollment to report generation. It allows universities to efficiently conduct online applications and payments, allocate exam centers and roll numbers, capture marks digitally, generate results and reports, and securely distribute exam papers. Key features include online enrollment, eligibility checking, admit card generation, results processing, and communication of outcomes via text, email or online portals.
Learning Spiral's online examination system can be used by educational institutions, companies, and other organizations to conduct assessments and recruitment. The platform allows exams to be created and automatically graded, saving time and paper. It provides benefits like remote exam-taking that saves students money while increasing security through randomizing questions.
We deliver results through our smart exam architecture and agile development methodology. Our architecture is designed for scale, reliability and security and supports AWS best practices. We use agile methods like Kanban boards and Git version control. Our code meets standards and we use tools like HelpnDoc for documentation. We implement test database designs and have experience with large-scale exam applications.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
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.
Learning spiral has a workforce with diverse set of skills and the ability to deliver data annotation and data labelling at scale.
SOURCE: https://www.learningspiral.ai/
Computer vision is defined as “a subset of mainstream artificial intelligence that deals with the science of making computers or machines visually enabled, i.e., they can analyze and understand an image.”
Learning Spiral is a one-stop data labeling and annotation service provider that offers image annotation, natural language processing, computer vision, and digital publishing services. Their services include bounding box annotation, polygon annotation, sentiment analysis, data enhancement, and content services. They aim to deliver data annotation and labeling at scale using an in-house team of skilled and experienced professionals.
Learning spiral has a workforce with diverse set of skills and the ability to deliver data annotation and data labelling at scale. Source (S): https://www.learningspiral.ai/
The document outlines 5 common digital marketing mistakes to avoid in 2019. The first mistake is not having clear goals for marketing efforts. The second mistake is not engaging on social media, which is crucial for communicating with target audiences. The third mistake is not properly understanding search engine optimization and how to hire an SEO agency to help rank higher. The fourth mistake is not promoting created content, which results in low readership. The fifth mistake is not giving marketing strategies enough time, as results may not be immediate though the digital world moves quickly.
Learning Spiral is a leading provider of university management software that helps streamline activities like enrollment, exam management, results processing, and more. Their software solution manages all student data from admission through placement and allows universities to handle HR/payroll, accounting, grievances and other administrative functions in a centralized, automated system. Learning Spiral has served over 35 universities in India, impacting over 3 million students.
Learning Spiral is a leading provider of university management system software that can streamline activities for small and large universities. The software allows for enrollment management, fully mobile access, exam activity management, evaluation processes, and exam confidentiality. It has capabilities like serving over 35 universities, impacting over 3 million students, and offering HR/payroll, campus, accounting, and RTI/grievance management modules. The document promotes this software as a solution for automating university operations and management of academics and evaluations.
Learning Spiral provides a robust online examination system called UCanAssess that allows educational organizations and companies to conduct assessments and manage applicants. The system can be customized based on requirements, benefits coaching institutes and schools by saving paper, time, and students' money while providing a secure method for conducting exams remotely.
SmartExam is a university examination management system that handles all exam processes from student enrollment to report generation. It streamlines enrollment, pre-exam, exam evaluation, post-exam, and confidential activities. The system allows for online applications and payments, admit card generation, online exam marking, automated result processing, and report customization. SmartExam aims to help universities efficiently manage their entire examination lifecycle.
The document describes SmartExam, an online university examination system that manages all aspects of the exam process from enrollment to report generation. It allows universities to efficiently conduct online applications and payments, allocate exam centers and roll numbers, capture marks digitally, generate results and reports, and securely distribute exam papers. Key features include online enrollment, eligibility checking, admit card generation, results processing, and communication of outcomes via text, email or online portals.
Learning Spiral's online examination system can be used by educational institutions, companies, and other organizations to conduct assessments and recruitment. The platform allows exams to be created and automatically graded, saving time and paper. It provides benefits like remote exam-taking that saves students money while increasing security through randomizing questions.
We deliver results through our smart exam architecture and agile development methodology. Our architecture is designed for scale, reliability and security and supports AWS best practices. We use agile methods like Kanban boards and Git version control. Our code meets standards and we use tools like HelpnDoc for documentation. We implement test database designs and have experience with large-scale exam applications.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
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.
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.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
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.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
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!
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
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.
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
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
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.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.