AI Resource Center
Build a better data pipeline
Case Study
Training data to build multi-lingual Conversational AI
High-quality audio data sourced, created, curated, and transcribed to train conversational AI in 27 languages.
Case Study
Named Entity Recognition (NER) Annotation for Clinical NLP
Well-Annotated and Gold Standard clinical text data to train/develop clinical NLP to build next version of Healthcare API.
Case Study
Image Collection & Annotation to enhance Image Recognition
High-quality image data sourced and annotated to train image recognition models for new smartphone series.
One Pager
Data De-Id Anonymization Platform
Get critical data de-identified by credentialed domain experts
One Pager
Data Annotation Platform
Unlock critical information in unstructured data from financial, insurance, etc.
One Pager
Medical Annotation Platform
NER helps organizations to extract critical information in unstructured medical data
Webinar
Future of Voice Technology
Voice Technology has the power to revolutionize how we communicate. Read more View Recording
Exploring the When, Why, & How of Data Collection for Computer Vision
The first step in deploying computer vision-based applications is to develop a data collection strategy. Data that is accurate, dynamic, and in sizable quantities need
AI-Based Document Classification – Benefits, Process, and Use-cases
In our digital world, businesses process tons of data daily. Data keeps the organization running and helps it make better-informed decisions. Businesses are flooded with
Comprehensive list of top 15 free Face Image Datasets to train Facial Recognition Models
Computer Vision, a branch of AI, provides computers with the ability to draw useful information from images and videos. The machine learning model then acts
Text Classification – Importance, Use Cases, and Process
Data is the superpower that is transforming the digital landscape in today’s world. From emails to social media posts, there is data everywhere. It is
Multilingual Sentiment Analysis – Importance, Methodology, and Challenges
The internet has opened the doors to people freely expressing their opinions, views, and suggestions on just about anything in the world on social media,
What is NLP? How it Works, Benefits, Challenges, Examples
Download Infographics What is NLP? Natural Language Processing (NLP) is a subfield of artificial intelligence (AI). It enables robots to analyze and comprehend human language,
A handy guide to Synthetic Data, its uses, risks, and applications
With the advancement of technology, there have been shortage of data used by ML models. To fill this gap lot of synthetic data / artificial
Leveraging Voice – Overview and Applications of Voice Recognition Technology
About two decades ago, no one would have believed that the technologically advanced make-believe world of ‘Star Trek’ that pushed the frontiers of imagination could
The Rise of AI-Based Voice Assistants in Enhancing Quality of healthCare
There is an unmistakable convenience in giving verbal instructions rather than having to type it out or select the correct item off a drop-down menu.
The 15 Best Open-source Handwriting Datasets to Train your ML models
The business world is transforming at a phenomenal pace, yet this digital transformation is not nearly as wide-ranging as we would like it to be.
Why Your Conversational AI Needs Good Utterance Data?
Have you ever wondered how chatbots and virtual assistants wake up when you say, ‘Hey Siri’ or ‘Alexa’? It is because of the text utterance
Glancing at the Future of Automobiles in Retrospect to Conversational AI
Automotive conversational AI is the latest innovation of engineers that is getting huge attention lately. It enables the users to interact with the chatbot or
OCR – Definition, Benefits, Challenges, and Use Cases [Infographic]
OCR is a technology that allows machines to read printed text & images. It is often used in business applications, such as digitizing documents for storage or processing, & in consumer applications, such as scanning a receipt for expense reimbursement.
Understanding the Collection Process of Audio Data for Automatic Speech Recognition
Automatic Speech Recognition systems and virtual assistants such as Siri, Alexa, and Cortana have become common parts of our lives. Our dependence on them is
Making Speech Recognition Streamlined with Remote Speech Data Collection
The role that data plays in today’s digitally supreme world is becoming immensely critical. Data is necessary, whether for business forecasting, weather forecasting, or even
The Past, Present, & Future of Automatic Speech Recognition / Speech-to-Text
Automatic speech recognition (ASR) has come a long way. Though it was invented long ago, it was hardly ever used by anyone. However, time and
Automatic Number Plate Recognition (ANPR) – AN Overview
The evolution of technology has enabled the innovation of many useful equipment to ease the human effort. Automatic Number Plate Recognition, being one such technology,
These are the TOP 10 Frequently asked questions (FAQs) about Data Labeling
Every ML Engineer wants to develop a reliable and accurate AI model. Data scientists spend nearly 80% of their time labeling and augmenting data. That’s
How do Siri and Alexa Understand What You’re Saying?
Voice assistants might be these cool, predominantly female voices that respond to your requests to find the nearest restaurant or the shortest route to the
Top Use Cases of Natural Language Processing in Healthcare
The global natural language processing market is slated to increase from $1.8 billion in 2021 to $4.3 billion in 2026, growing at a CAGR of
Synthetic data and its role in the world of AI – Benefits, Use cases, Types & Challenges
The latest adage of data being the new oil is true, and just like your regular fuel, it is becoming hard to come by. Yet,
The Necessary Guide to Content Moderation – Importance, types, and challenges
The digital world is constantly evolving, and one catalyst that differentiates this platform from the others is user-generated content. Although companies worldwide have their websites
The Complete Guide to Conversational AI
The Complete Guide to Conversational AI The Ultimate Buyers Guide 2022 Intro Types Advantages Data Challenges Pros & Cons of Data Types Use Cases Industries
In-House or Outsourced Data Annotation – Which Gives Better AI Results?
In 2020, 1.7 MB of data was created every second by people. And in the same year, we produced close to 2.5 quintillion data bytes
How does the Human-in-the-Loop Approach Enhances ML Model Performance?
Machine learning models are not made perfect – they are perfected over time, with training and testing. An ML algorithm, to be able to produce
The role of AI in Medical Image Annotation
The phenomenal advancements in machine learning and artificial intelligence have revolutionized the healthcare industry. The global market for AI in healthcare in 2016 was about
What is Audio / Speech Annotation With Example
We have all asked Alexa (or other voice assistants) some open-ended questions. Alexa, is the nearest pizza place open? Alexa, which restaurant in my location
What is AI Image Recognition and How Does it Work?
Human beings have the innate ability to distinguish and precisely identify objects, people, animals, and places from photographs. However, computers don’t come with the capability
What is Optical Character Recognition (OCR): Overview and its applications
Optical Character Recognition might sound intense and foreign to most of us, but we have been using this advanced technology more often. We use this
What is DDS & the importance of Training Data to train DDS Models
Everyone knows about the dangers of driving under the influence or texting while driving. However, there isn’t much attention given to driving under drowsiness. In
Training data to build multi-lingual Conversational AI
High-quality audio data sourced, created, curated, and transcribed to train conversational AI in 27 languages.
Utterance data collection to build multi-lingual digital assistant
Delivered 7M+ Utterances with over 22k hours of audio data to build Multi-lingual digital assistants in 13 languages.
Named Entity Recognition (NER) for Clinical NLP
Well-Annotated and Gold Standard clinical text data to train/develop clinical NLP to build next version of Healthcare API.
Image Collection & Annotation to enhance Image Recognition
High-quality image data sourced and annotated to train image recognition models for new smartphone series.
AI4 Conference: Solving the Computer Vision Data Collection Issues
All the major AI solutions that are out there are all products of a crucial process we call data collection or data sourcing or AI training data. Our CRO, Mr. Hardik Parikh gave a keynote session on “Solving the Computer Vision Data Collection Issues” at the recently concluded Event Ai4 2022 in Las Vegas on August 17.
Future of Voice Technology – Challenges & Opportunities
Voice Technology has the power to revolutionize how we communicate. This webinar is aimed to educate the participant on ‘How voice tech can be utilized in any domain’ and how various Conversational AI use cases are used to enrich end-user experience.
Data transforming Healthcare
Artificial intelligence (AI) has the potential to transform how healthcare is delivered. This webinar is aimed to educate the participant on ‘How data can be utilized in the domain of healthcare’ using case studies & about the training data sets and data processing.
Buyer’s Guide
Buyer’s Guide: Data Annotation / Labeling
So, you want to start a new AI/ML initiative and are realizing that finding good data will be one of the more challenging aspects of your operation. The output of your AI/ML model is only as good as the data you use to train it – so the expertise you apply to data aggregation, annotation, and labeling is of critical importance.
Buyer’s Guide: High-quality AI Training Data
In the world of artificial intelligence and machine learning, data training is inevitable. This is the process that makes machine learning modules accurate, efficient, and fully functional. The guide explores in detail what AI training data is, types of training data, training data quality, data collection & licensing, and more.
Buyer’s Guide: Complete Guide to Conversational AI
The chatbot you conversed with runs on an advanced conversational AI system that is trained, tested, and built using tons of speech recognition datasets. It is the fundamental process behind the technology that makes machines intelligent and this is exactly what we are about to discuss and explore.
Buyer’s Guide: AI Data Collection
Machines don’t have a mind of their own. They are devoid of opinions, facts, and capabilities such as reasoning, cognition, and more. To turn them into powerful mediums, you need algorithms that are developed based on data. Data that is relevant, contextual, and recent. The process of collecting such data for machines is called AI data collection.
Buyer’s Guide: Video Annotation and Labeling
It is a fairly common saying we’ve all heard. that a picture could say a thousand words, just imagine what a video could be saying? A million things, perhaps. None of the ground-breaking applications we’ve been promised, such as driverless cars or intelligent retail check-outs, is possible without video annotation.
Buyer’s Guide: Image Annotation for CV
Computer vision is all about making sense of the visual world to train computer vision applications. Its success completely boils down to what we call image annotation – the fundamental process behind the technology that makes machines make intelligent decisions and this is exactly what we are about to discuss and explore.
eBook
The Key to Overcoming AI Development Obstacles
There is indeed an incredible amount of data being generated every day: 2.5 quintillion bytes, according to Social Media Today. But that doesn’t mean it’s all worthy of training your algorithm. Some data is incomplete, some is low-quality, and some is just plain inaccurate, so using any of this faulty information will result in the same traits out of your (expensive) AI data innovation.
Exploring the When, Why, & How of Data Collection for Computer Vision
The first step in deploying computer vision-based applications is to develop a data collection strategy. Data that is accurate, dynamic, and in sizable quantities need
AI-Based Document Classification – Benefits, Process, and Use-cases
In our digital world, businesses process tons of data daily. Data keeps the organization running and helps it make better-informed decisions. Businesses are flooded with
Comprehensive list of top 15 free Face Image Datasets to train Facial Recognition Models
Computer Vision, a branch of AI, provides computers with the ability to draw useful information from images and videos. The machine learning model then acts
Text Classification – Importance, Use Cases, and Process
Data is the superpower that is transforming the digital landscape in today’s world. From emails to social media posts, there is data everywhere. It is
Multilingual Sentiment Analysis – Importance, Methodology, and Challenges
The internet has opened the doors to people freely expressing their opinions, views, and suggestions on just about anything in the world on social media,
What is NLP? How it Works, Benefits, Challenges, Examples
Download Infographics What is NLP? Natural Language Processing (NLP) is a subfield of artificial intelligence (AI). It enables robots to analyze and comprehend human language,
A handy guide to Synthetic Data, its uses, risks, and applications
With the advancement of technology, there have been shortage of data used by ML models. To fill this gap lot of synthetic data / artificial
Leveraging Voice – Overview and Applications of Voice Recognition Technology
About two decades ago, no one would have believed that the technologically advanced make-believe world of ‘Star Trek’ that pushed the frontiers of imagination could
The Rise of AI-Based Voice Assistants in Enhancing Quality of healthCare
There is an unmistakable convenience in giving verbal instructions rather than having to type it out or select the correct item off a drop-down menu.
The 15 Best Open-source Handwriting Datasets to Train your ML models
The business world is transforming at a phenomenal pace, yet this digital transformation is not nearly as wide-ranging as we would like it to be.
Why Your Conversational AI Needs Good Utterance Data?
Have you ever wondered how chatbots and virtual assistants wake up when you say, ‘Hey Siri’ or ‘Alexa’? It is because of the text utterance
Glancing at the Future of Automobiles in Retrospect to Conversational AI
Automotive conversational AI is the latest innovation of engineers that is getting huge attention lately. It enables the users to interact with the chatbot or
OCR – Definition, Benefits, Challenges, and Use Cases [Infographic]
OCR is a technology that allows machines to read printed text & images. It is often used in business applications, such as digitizing documents for storage or processing, & in consumer applications, such as scanning a receipt for expense reimbursement.
Understanding the Collection Process of Audio Data for Automatic Speech Recognition
Automatic Speech Recognition systems and virtual assistants such as Siri, Alexa, and Cortana have become common parts of our lives. Our dependence on them is
Making Speech Recognition Streamlined with Remote Speech Data Collection
The role that data plays in today’s digitally supreme world is becoming immensely critical. Data is necessary, whether for business forecasting, weather forecasting, or even
The Past, Present, & Future of Automatic Speech Recognition / Speech-to-Text
Automatic speech recognition (ASR) has come a long way. Though it was invented long ago, it was hardly ever used by anyone. However, time and
Automatic Number Plate Recognition (ANPR) – AN Overview
The evolution of technology has enabled the innovation of many useful equipment to ease the human effort. Automatic Number Plate Recognition, being one such technology,
These are the TOP 10 Frequently asked questions (FAQs) about Data Labeling
Every ML Engineer wants to develop a reliable and accurate AI model. Data scientists spend nearly 80% of their time labeling and augmenting data. That’s
How do Siri and Alexa Understand What You’re Saying?
Voice assistants might be these cool, predominantly female voices that respond to your requests to find the nearest restaurant or the shortest route to the
Top Use Cases of Natural Language Processing in Healthcare
The global natural language processing market is slated to increase from $1.8 billion in 2021 to $4.3 billion in 2026, growing at a CAGR of
Synthetic data and its role in the world of AI – Benefits, Use cases, Types & Challenges
The latest adage of data being the new oil is true, and just like your regular fuel, it is becoming hard to come by. Yet,
The Necessary Guide to Content Moderation – Importance, types, and challenges
The digital world is constantly evolving, and one catalyst that differentiates this platform from the others is user-generated content. Although companies worldwide have their websites
The Complete Guide to Conversational AI
The Complete Guide to Conversational AI The Ultimate Buyers Guide 2022 Intro Types Advantages Data Challenges Pros & Cons of Data Types Use Cases Industries
In-House or Outsourced Data Annotation – Which Gives Better AI Results?
In 2020, 1.7 MB of data was created every second by people. And in the same year, we produced close to 2.5 quintillion data bytes
How does the Human-in-the-Loop Approach Enhances ML Model Performance?
Machine learning models are not made perfect – they are perfected over time, with training and testing. An ML algorithm, to be able to produce
The role of AI in Medical Image Annotation
The phenomenal advancements in machine learning and artificial intelligence have revolutionized the healthcare industry. The global market for AI in healthcare in 2016 was about
What is Audio / Speech Annotation With Example
We have all asked Alexa (or other voice assistants) some open-ended questions. Alexa, is the nearest pizza place open? Alexa, which restaurant in my location
What is AI Image Recognition and How Does it Work?
Human beings have the innate ability to distinguish and precisely identify objects, people, animals, and places from photographs. However, computers don’t come with the capability
What is Optical Character Recognition (OCR): Overview and its applications
Optical Character Recognition might sound intense and foreign to most of us, but we have been using this advanced technology more often. We use this
What is DDS & the importance of Training Data to train DDS Models
Everyone knows about the dangers of driving under the influence or texting while driving. However, there isn’t much attention given to driving under drowsiness. In
What is NLP? How it Works, Benefits, Challenges, Examples
Download Infographics What is NLP? Natural Language Processing (NLP) is a subfield of artificial intelligence (AI). It enables robots to analyze and comprehend human language,
OCR – Definition, Benefits, Challenges, and Use Cases [Infographic]
OCR is a technology that allows machines to read printed text & images. It is often used in business applications, such as digitizing documents for storage or processing, & in consumer applications, such as scanning a receipt for expense reimbursement.
The State of Conversational AI 2022
The State ofConversational AI 2022 What isConversational AI? A programmatic and intelligent way ofoffering a conversational experience tomimic conversations with real people, throughdigital and telecommunication
What is Data Collection? Everything a Beginner Needs to Know
Intelligent #AI/ #ML models are everywhere, be it, Predictive healthcare models, proactive diagnosis,
What is Data Labeling? Everything a Beginner Needs to Know
Download Infographics Intelligent AI models need to be trained extensively for being able to identify patterns, objects, and eventually make reliable decisions. However, the trained
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