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
Diverse AI Training Data for Inclusivity and eliminating Bias
Artificial Intelligence and Big Data have the potential to find solutions to global problems while prioritizing local issues and transforming the world in many profound
The Impact of Data Privacy and Security on Off-the-Shelf Training Data
Building new custom data sets from scratch is challenging and tedious. Thanks to off-the-shelf data, it offers a quick and effective solution for developers to
How to Choose the Right Off-the-Shelf AI Training Data Provider?
Building a good-quality dataset for machine learning algorithms that offers accurate outcomes is challenging. It takes considerable time and effort to develop precise machine-learning codes
Why Selecting the Right AI Training Data is Important for Your AI Model?
Everyone knows and understands the tremendous scope of the evolving AI market. That is why businesses today are eager to develop their apps in AI
Quality Data Annotation Powers Advanced AI Solutions
Artificial Intelligence fosters human-like interactions with computing systems, while Machine Learning allows these machines to learn to mimic human intelligence through every interaction. But what
From Quantity to Quality – The Evolution of AI Training Data
AI, Big Data, and Machine Learning continue to influence policymakers, businesses, science, media houses, and a variety of industries throughout the world. Reports suggest that
The Power of AI Transforming the Future of Healthcare
Artificial Intelligence is powering every sector, and the healthcare industry is no exception. The healthcare industry is reaping the benefits of transformative data and triggering
How Shaip Can Support Your Artificial Intelligence Projects
Data is power. It is invaluable, but it is difficult to derive value from vast amounts of data. Your team spends 41% of the time
How do Off-the-Shelf Training Datasets get your ML projects to a Running Start?
There is an ongoing argument for and against using the off-the-shelf dataset to develop high-end artificial intelligence solutions for businesses. But off-the-shelf training datasets can
Setting up Data Pipeline for a Reliable and Scalable ML Model
The most precious commodity for businesses these days is data. As organizations and individuals continue to generate massive amounts of data per second, it is
Does Having a Human-in-the-Loop or Human Intervention required for AI/ML Project
Artificial intelligence is fast becoming all-pervasive, with companies across various industries using AI to deliver exceptional customer service, boost productivity, streamline operations, and bring home
3 Obstacles to the Evolution of Conversational AI
Thanks to ongoing advancements in the fields of artificial intelligence and machine learning, computers can perform a growing number of cognitive tasks. As a result,
How is Speech Recognition Different From Voice Recognition?
Did you know that speech recognition and voice recognition are two separate technologies? People often make the common mistake of misinterpreting one technology with another.
Crowd Workers for Data Collection – an Indispensable Part of Ethical AI
In our efforts to build robust and unbiased AI solutions, it is pertinent that we focus on training the models on an unbiased, dynamic, and
How AI is Making Insurance Claim Processing Simple & Reliable
A claim is an oxymoron in the insurance industry (Insurance Claim) – neither the insurance companies nor the customers want to file claims. However, both
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
Training data to build multi-lingual Conversational AI
High-quality audio data sourced, created, curated, and transcribed to train conversational AI in 40 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.
Collect, Segment & Transcribe audio data in 8 Indian Languages
Over 3k hours of Audio Data Collected, Segmented & Transcribed to build Multi-lingual Speech Tech in 8 Indian languages.
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.
Diverse AI Training Data for Inclusivity and eliminating Bias
Artificial Intelligence and Big Data have the potential to find solutions to global problems while prioritizing local issues and transforming the world in many profound
The Impact of Data Privacy and Security on Off-the-Shelf Training Data
Building new custom data sets from scratch is challenging and tedious. Thanks to off-the-shelf data, it offers a quick and effective solution for developers to
How to Choose the Right Off-the-Shelf AI Training Data Provider?
Building a good-quality dataset for machine learning algorithms that offers accurate outcomes is challenging. It takes considerable time and effort to develop precise machine-learning codes
Why Selecting the Right AI Training Data is Important for Your AI Model?
Everyone knows and understands the tremendous scope of the evolving AI market. That is why businesses today are eager to develop their apps in AI
Quality Data Annotation Powers Advanced AI Solutions
Artificial Intelligence fosters human-like interactions with computing systems, while Machine Learning allows these machines to learn to mimic human intelligence through every interaction. But what
From Quantity to Quality – The Evolution of AI Training Data
AI, Big Data, and Machine Learning continue to influence policymakers, businesses, science, media houses, and a variety of industries throughout the world. Reports suggest that
The Power of AI Transforming the Future of Healthcare
Artificial Intelligence is powering every sector, and the healthcare industry is no exception. The healthcare industry is reaping the benefits of transformative data and triggering
How Shaip Can Support Your Artificial Intelligence Projects
Data is power. It is invaluable, but it is difficult to derive value from vast amounts of data. Your team spends 41% of the time
How do Off-the-Shelf Training Datasets get your ML projects to a Running Start?
There is an ongoing argument for and against using the off-the-shelf dataset to develop high-end artificial intelligence solutions for businesses. But off-the-shelf training datasets can
Setting up Data Pipeline for a Reliable and Scalable ML Model
The most precious commodity for businesses these days is data. As organizations and individuals continue to generate massive amounts of data per second, it is
Does Having a Human-in-the-Loop or Human Intervention required for AI/ML Project
Artificial intelligence is fast becoming all-pervasive, with companies across various industries using AI to deliver exceptional customer service, boost productivity, streamline operations, and bring home
3 Obstacles to the Evolution of Conversational AI
Thanks to ongoing advancements in the fields of artificial intelligence and machine learning, computers can perform a growing number of cognitive tasks. As a result,
How is Speech Recognition Different From Voice Recognition?
Did you know that speech recognition and voice recognition are two separate technologies? People often make the common mistake of misinterpreting one technology with another.
Crowd Workers for Data Collection – an Indispensable Part of Ethical AI
In our efforts to build robust and unbiased AI solutions, it is pertinent that we focus on training the models on an unbiased, dynamic, and
How AI is Making Insurance Claim Processing Simple & Reliable
A claim is an oxymoron in the insurance industry (Insurance Claim) – neither the insurance companies nor the customers want to file claims. However, both
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
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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