How Is The GTS Data Quality Management Lets Check!


Let's take Amazon Go for example. You walk into any of the stores they have, install their app, walk around and choose what you like and then leave the rest and then walk away. It's that simple. There aren't any cashiers, lines, and nothing. Whatever you've bought and then left the store with will be charged to your account. What's that cool?

Do you know what is required to develop these techniques? High-quality AI Training Datasets. Data is crucial in the creation of an efficient AI model that executes specific actions. But more crucial is the high-quality of the data.

The use of transcription services businesses reduce time and costs. By transforming audio, speech and video recordings into the form of a text or electronic document, businesses can meet deadlines and stay focused on the primary goals. Important meetings and discussions are recorded and result in accurate records that can be used to send clients reports, offer trustworthy customer service, as well as track and manage marketing and sales initiatives.

Utilized to bridge the gap between business and customers, it can help businesses understand their customers' buying habits. Transcribing also increases the adaptability of businesses by making it simpler to discern what concepts and data could be improved or repeated as a means to brand and reach out to customers. Where does it all begin? It all starts with the gathering of top-quality AI training data sets that can serve to test, train and verify the machine learning model.

Businesses should trust companies like GTS which implement strict standards for data quality management within their processes to take on this problem. Additionally, at GTS we also take on the constant transformation of our systems to address the ever-changing challenges.

The effectiveness in any AI model depends in the caliber of the data being fed into the model. ML systems operate on massive amounts of data, however they are not able to function with any type of data. It needs to be top-quality AI for training. If the output of the AI model has to be accurate and authentic then the data used for training the model should be of the highest quality.

The data the AI and models of ML are trained on must be of the highest quality to allow the business to derive valuable and useful insight through the data. Yet, collecting huge quantities of diverse data poses an obstacle for companies.

What industries require Audio transcription?

There are many different industries that employ Audio Transcripiton. A few of them include:

  1. Journalism and media Every journalist's daily routine is about productivity. Meeting deadlines or scheduling important interviews and quickly transforming stories that attract and keep the attention of readers are all tough tasks, which is why you have to pick the right tools that can help with your work. Automated audio transcription is a reporter's best tool in the field of media and journalism. It allows the journalist to focus entirely on the interview and collect the most pertinent information without worrying about making notes.
  2. Video: We're all captivated by watching videos (over billion hours of videos are streamed on Youtube every day) editors and videographers are faced with a lot of work for their work. Because a majority users consume videos with no audio because of accessibility, location or personal preferences transcription is necessary in the world of video. Captions and subtitles is essential. Manual transcribers might be able to find adding captions and subtitles to video files a hassle and typing up all of your footage isn't the ideal utilization of any editors precious time. Automatic transcription programs produces transcription files that allow users to swiftly and effortlessly upload the video to the internet to reach your audience.
  3. Market research: Due to an increase in consumer demands, the demand for transcription services in market research as well as the user experience (UX) is growing. Businesses today must be aware of their audience and with the battle for attention from customers and customer loyalty at an all-time low, businesses cannot afford to make a mistake and be in the wrong. Companies can get a better understanding of their customers by conducting UX tests. It can be accomplished by sending out samples to your clients and asking them for precise comments. That's where transcription is a great aid. UX testing and interviews with your intended market as with any other interview must be recorded and analyzed. The feedback you receive is invaluable and can help to develop future product and service.
  4. The academic research field: Every academic research begins with the collection and analysis of information. Audio recording and transcription is required for interviews, focus groups and various other research methods. Researchers find worth in their data by analyzing transcriptions that are qualitative to identify patterns and support hypothesis. Manually searching for patterns within Speech Recognition Dataset is tedious and inefficient; automated audio transcription, on contrary, is fast becoming a key instrument for researchers as it can produce fully searchable, precise transcriptions of audio files that allow researchers to reach their goals faster.
  5. Healthcare Nurses and doctors have to keep detailed records of their interactions with patients and their treatment plans, prescriptions as well as other pertinent information. They can document this information verbally and then have it automatically transcribable for better efficiency with transcription services. To ensure that patients are properly treated medical practice is dependent on accurate transcribing. For example when the transcription is not accurate, for instance the amount of times patients are required to obtain prescriptions, it could result in serious health problems.

The introduction to GTS Data Quality Management

At GTS We are aware of the importance of accurate training data as well as its role in the development of models for ML and the results from AI-based products. In addition to assessing our employees' capabilities, we are determined to improve their expertise and their personal growth.

We adhere to strict guidelines and procedures for standard operating procedures applied at all levels of the process, to ensure that our training materials meet the benchmark for quality.

1.Quality Management

The quality control workflow we have implemented has proven essential in delivering AI and machine learning model. With feedback-in-loop our quality management model is a tried and true method which has proved to be instrumental in delivering a variety of initiatives for the clients we work with. Our quality audit process flows in the following fashion.

  • Examining the contract
  • Create an audit checklist
  • Document sourcing
  • Sourcing 2-Layer Audit
  • Annotation Text Moderation
  • Annotation 2-Layer Audit
  • Deliver of Work
  • Client Feedback

2.The Crowdsource Selection of Worker and the Onboarding

Our strict selection of our workers and onboarding procedure sets us apart from the competitors. We undertake an exact selection process in order to hire only the best annotationists based on our quality list. We consider:

  • Experience as a Text moderator make sure their experience and skills meet our needs.
  • Performance of earlier projects to ensure that their quality, productivity and output was in line to the needs of the project.
  • The ability to master domain knowledge is an essential requirement for choosing an individual worker to work in an industry.
  • The selection process doesn't stop at this point. We subject the participants to an annotation test to determine their skills and abilities. Based on their performance during the trial as well as the analysis of disagreements and questions and answers the candidates will be chosen.
  • After the employees are chosen, they be given a comprehensive training session utilizing Project SOW, guidelines, Tutorials, sampling methods and much more based on the needs of the project.

3.Parameter Threshold

Based on the specifications of the project and the requirements of the client We offer an 90-95 percent limit on the parameter. Our team is well-equipped and skilled to apply any of the following strategies to guarantee higher quality standards in management.

  • F1 Score, also known as F Measure to assess the performance of two classifiers 2. ((Precision * Recall)(or (Precision + Recall))
  • DPO, or Defects per Opportunity technique is calculated as a percentage to defects times opportunities.

4.Sample Audit Checklist

GTS audit checklist sample is a fully customizable process which can be customized to meet the requirements of the project as well as the client. It can be adjusted based on feedback from the client, and then finalized following an extensive discussion.

  • Language Check
  • URL , Domain Verify
  • Diversity Check
  • Volume for each Language and Moderation Class
  • Targeted keywords
  • The type of the document as well as its importance
  • Toxic phrase Check
  • Metadata check
  • Consistency check
  • Annotation class check
  • Other mandatory checks in accordance with the preferences of the client

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