Help Desk

Kiosk

Web and Video Conferencing

Customer Support

AI Code Generation

Automation Testing

Beta Testing

Feature Management

Development

Virtual Classroom

Education

AI Document Creation

Business Intelligence (BI)

Collaboration

Demand Planning

Internal Communications

Knowledge Management

Quality Management

Supply Chain Visibility

Whistleblowing

Enterprise

Accounting

Cash Flow Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Monitoring

HR Management

Payroll

Talent Intelligence

Talent Management

Video Interview

Workforce Analytics

Workforce Management

eLearning Content

Human Resources

Blockchain-as-a-Service (BaaS)

Business Process Automation

Cloud Data Warehouse

Cloud Storage

Data Integration

Data Replication

Database-as-a-Service (DBaaS)

Embedded Database

Encryption Key Management

Fraud Detection

IT Alert Management

Integration Platform as a Service (iPaaS)

Network Performance Monitoring

OpenStack Cloud

Scale-Out Storage

Test Management

User Activity Monitoring

Value Stream Management

WAN Optimization

Web Content Filtering

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Email Marketing

Enterprise Marketing Management

Grant Management Software

Livestream

Marketing Automation

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Auction Software

Customer Relationship Management (CRM)

Sales Consulting

Sales Incentive Compensation Management

Sales Training

Sales

Agriculture

Inventory Management

Last Mile Delivery

Military and Defense

Online Ordering

Shipping

Vertical-Specific

Find top rated software and services based on in-depth reviews from verified users. 400+ software categories including PaaS, NoSQL, BI, HR, and more.

Databricks Data Intelligence Platform

Databricks

Amazon SageMaker

Amazon AWS

DataRobot

Pecan.ai

OpenAI API Platform

OpenAI

Anaconda

Azure Machine Learning

Microsoft

Keras

Open Source

Google Cloud AI

Google

TensorFlow

Pytorch

Amazon Deep Learning AMIs

Hugging Face

Amazon Augmented AI (Amazon A2I)

Azure OpenAI Service

### Earning Opportunities
Users generally praise Appen for its strong earning opportunities, highlighting the platform's ability to provide a variety of tasks that allow them to earn extra income from home. Many users appreciate the opportunity to work on tasks related to artificial intelligence and machine learning, which not only help them make money but also enhance their skills in these cutting-edge fields. While some users mention limitations such as the exclusive use of Payoneer for withdrawals, overall, the consensus is positive regarding the earning potential that Appen offers.

### Payment Systems and Withdrawals
User sentiment varies regarding Appen's payment systems and withdrawals. Some users express frustration with the platform's reliance solely on Payoneer for withdrawals, citing high transaction fees as a drawback. Others appreciate the prompt payment processing and ease of registration, highlighting the platform's efficiency in disbursing earnings. However, concerns about limited payment options and lack of responsiveness to application statuses are also raised, indicating room for improvement in enhancing the overall payment experience for users.

### Task Performance and Management
Users generally appreciate Appen's task performance and management capabilities. Reviewers highlight the platform's effectiveness in providing a variety of tasks for users to complete, ranging from simple tasks like data annotation to more complex tasks like image capturing and web analytics. While some users find the task availability to be inconsistent at times, overall, Appen is praised for its user-friendly interface and the opportunity it offers to earn extra income through task completion. Despite some minor drawbacks such as limited task availability and occasional technical issues, Appen's task performance and management functionalities are generally well-regarded by users.

### Data Collection and Annotation
Users seem to have varied opinions on Appen's data collection and annotation features. Some users appreciate the platform for providing a wide range of tasks such as audio transcription, AI image data collection, and search engine evaluation. They find it beneficial for gaining experience in data labeling and improving their skills in various data-related tasks. However, there are also users who express concerns about the complexity of the payment process and the length of time it takes to apply for projects on the platform. Additionally, some users suggest that Appen should update its project list to enhance contributors' data collection experience. Despite these mixed reviews, it is evident that data collection and annotation play a significant role in users' interactions with the platform.

### Search Engine and Evaluation
Users also highlight the convenience of integrating mobile usage with Appen's platform, allowing for easy project selection and navigation. When it comes to search engine and evaluation tasks, reviewers generally acknowledge Appen's effectiveness in providing opportunities for contributors to engage in data labeling, AI image data collection, and search engine evaluation. The platform's ability to offer a variety of projects in this domain is seen as a positive aspect by users, contributing to their overall experience with Appen.

### Artificial Intelligence and Machine Learning
User feedback on Appen's artificial intelligence and machine learning capabilities varies widely. Some users appreciate the platform's focus on tasks related to artificial intelligence and machine learning, noting that it provides opportunities to learn new skills in these areas. They find the projects diverse and engaging, allowing them to contribute to the development of AI systems. However, others express mixed opinions, mentioning challenges such as task complexity and strong competition. Despite this, many users acknowledge the platform's role in training AI systems and improving machine learning technologies. The consensus seems to be that while Appen offers valuable experience in AI and machine learning, there are areas for improvement to enhance user satisfaction.

### Platform Usability and Experience
Users have expressed a range of opinions regarding Appen's platform usability and experience. While some users appreciate the ease of navigation and accessibility of tasks, others have encountered issues such as error messages and inefficiencies in certain features. The platform's interface has been commended for its organization and user-friendly design, but there are concerns about the functionality of certain buttons and the fairness of penalization measures. Despite these mixed reviews, Appen's platform usability and experience remains a key aspect of user feedback.

Wide variety of tasks: Users have mentioned that they enjoy the wide variety of tasks available on the platform, finding them diverse and interesting. Some users appreciate that Appen offers a wide range of tasks related to artificial intelligence and machine learning, allowing them to learn new skills while earning extra income. Others value the opportunity to choose and join projects that interest them, giving them flexibility in their work.

Intuitive user interface: The user interface of Appen is praised for being intuitive and user-friendly, making it easy for users to perform tasks. Users find the search function on the platform easy to use, enhancing the overall user experience. The website and software are commended for being easy to navigate, facilitating the hiring process and providing a pleasant user experience.

Opportunity to earn money: Many users appreciate that Appen provides an opportunity for contributors to collect data required by clients and compensates them based on work hours. Some users value Appen as a source of extra income while maintaining a full-time job, thanks to the availability of quick and easy tasks. The platform incentivizes users by providing rewards, such as web captures and translations, which further enhance their earnings potential.

Appen is a platform that has gained popularity among users as a reliable way to earn extra income through remote work. Users have found it well-documented and appreciate the opportunities it provides for data collection and earning money, making it a great platform for both tasks. One of its key use cases is training artificial intelligence and providing efficient feed to machine learning technologies. Users have had positive experiences with Appen and recommend it to others for earning money and developing skills in AI and machine learning. They find the platform easy to install and use, making it accessible for freelancing services. Users are able to earn money by completing simple tasks such as data annotation and search engine evaluation. However, some users have mentioned that the transaction fees through Payoneer can be a drawback during the payment process. Overall, despite some frustrations, users have had positive experiences with Appen, earning money through simple tasks and gaining knowledge in various areas. The platform has strict rules that require users to pass qualification exams to access tasks.

Appen also serves as a valuable resource for companies by providing technological help from real users, offering a wide range of services without relying solely on surveys or user testing. Users have found it to be a reliable platform for processing large amounts of data and tracking historical data. While some users have experienced frustration with certain time-consuming aspects of using Appen, they still report positive overall experiences. The flexibility in work time and payment options make it beneficial for those looking to earn extra money. In fact, some users have used Appen as a means of teaching students responsibility and helping them earn their own money. While the interface is straightforward, some users feel that mobile integration and support response could be improved. In summary, Appen has proven itself as a valuable platform for various use cases, enabling users to earn income while contributing to AI development and expanding their skills in machine learning.<

The Appen platform combines human intelligence from over one million people all over the world with models to create training data for ML projects. Appen users can upload data to the Appen platform, and they provide the annotations, judgments, and labels needed to help create ground truth for models.

Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.

Qlik Sense Enterprise on Windows

Standard

Premium

Starter

Qlik Sense

Oracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.

Oracle Base Database Service - Standard

Oracle Base Database Service - Enterprise

Oracle Base Database Service - High Performance

Standard Edition

Enterprise Edition

Personal Edition

Oracle Database

Appen

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Machine Learning

Video is showing the live work demo of Appen search engine evaluator project.
Appen project -  https://www.youtube.com/watch?v=vTQokg7X3pQ
THANKS FOR WATCHING

Please do like the video and subscribe the channel.

Connect With Me 
  Instagram - https://www.instagram.com/hasmi_sami/
  Linkedin - https://www.linkedin.com/in/saamim-hasmi-656669bb/
 Twitter - https://twitter.com/SaamimH

Wife’s Channel – https://www.youtube.com/channel/UCPlqToXJ4pXGo1t2DAcy4tQ
Please do like the video and subscribe the channel.

#SearchEngineEvaluator
#Appenlivedemo
#appenwork
#parttimejob
#appen
#searchengineevaluator

Appen Live Project work| Search Engine Evaluator's Work | What Search Engine Evaluator do exactly

Appen live work demo | Arrow project demo | Search engine Evaluator work | Work from home online

Appen demo ita

Appen Demo DE

APPen Video Demo France

Appen work demo hindi | Appen Naneum project | Appen work from home hindi

Likelihood to Recommend

AutoML

AutoML, or Automated Machine Learning, seeks to make building ML models more accessible to non-ML experts. It does this through partial or full automation of the steps in the model build process—from model selection, to hyperparameter optimization, to feature engineering. AutoML has the potential to bridge the skills gap in ML, as well as speed up artificial intelligence delivery and reduce deployment costs.  

Read more: https://appen.com/blog/automl/

Follow us: 
Twitter: https://twitter.com/AppenGlobal​  
LinkedIn: https://www.linkedin.com/company/appen/

Tech Day Demo - Mobile App

SurveyMonkey

WorkMarket by ADP

Lionbridge Freeway Translation Platform

Appen 2022-01-08 09:32:43

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Home

Machine Learning Tools

Appen is a platform where regional developer manage their work on a specific task. It has an excellent selection procedure and lately followup on all product tiers. It further tracks the timelines and generates the required number of responses to be collected from each user. Each qualified user can access their portal for submission of their task.

Project listing
Hiring of the potential and qualified users
Tracking of the projects

Selection procedure is bit .
The questionnaire need to be reviewed.

It has Positive impact as it provides opportunity for new jobs in my area of expertise.

Lionbridge Freeway Translation Platform and SurveyMonkey

WorkMarket, an ADP Company, Lionbridge Freeway Translation Platform, SurveyMonkey

Appen

Overview

What is Appen?