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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.
What is Medical Speech Recognition and How Does it Work?
Just imagine a world where doctors would no longer have to spend hours typing up patient notes but rather speak into a device and see
What is NLP? How it Works, Benefits, Challenges, Examples
Discover our NLP infographic: Learn how it works, explore benefits, challenges, market growth, use cases, and future trends in Natural Language Processing.
Top NLP Datasets to Supercharge Your Machine Learning Models
What is NLP? NLP (Natural Language Processing) helps computers understand human language. It’s like teaching computers to read, understand, and respond to text and speech
22 Best Open-source OCR & Handwriting Datasets to Train your ML models
The rise in optical character recognition usage can primarily be attributed to the increase in the production of automatic recognition systems. As a result, the
What Are Small Language Models? Real Word Example and Training Data
They say great things come in small packages and perhaps, Small Language Models (SLMs) are perfect examples of this. Whenever we talk about AI and
What is Voice Recognition: Why You Need it, Use Cases, Examples & Advantages
Market Size: In less than 20 years, voice recognition technology has grown phenomenally. But what does the future hold? In 2020, the global voice recognition technology
Top 19 Medical Datasets to Supercharge Your Machine Learning Models
If you’re working on healthcare machine learning projects, having access to open and free datasets is crucial. They provide the foundation for developing effective models,
What We Need To Know About AI In Emotion Recognition In 2024
Are we happy? Are we really happy? This is probably one of the most terrifying questions to ever confront us humans. On a deep philosophical
The Complete Anatomy Of Ambient AI In Healthcare In Less Than 5 Minutes
The brilliance of technology lies in the fact that it works in more ways than its intended purposes. When the Apple Watch was rolled out,
What is ASR (Automatic Speech Recognition): Everything a Beginner Needs to Know (in 2024)
Automatic Speech Recognition technology has been there for a long haul but recently gained prominence after its use became prevalent in various smartphone applications like
OCR (Optical Character Recognition) – 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 A To Z Of Data Annotation
What is Data Annotation [2024 Updated] – Best Practices, Tools, Benefits, Challenges, Types & more Need to know the Data Annotation basics? Read this complete
Everything About Conversational AI: How it’s works, Example, Benefits and Challenges [Infographic 2024]
Explore how Conversational AI is reshaping industries with personalized interactions. Check out our Infographic.
Chain-of-Thought Prompting – Everything You Need To Know About It
Problem-solving has been one of the innate capabilities of humans. Ever since our primitive days, when our major challenges in life were not getting eaten
Text Classification in Machine Learning – 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
AI Reliability Gap: Exploring The Role Of Humans In The World Of AI
Artificial Intelligence has often been regarded highly because of its fundamental three abilities – speed, relevance, and accuracy. Vivid pictures of them taking over the
27 Open Source Image Datasets to Enhance Your Computer Vision Project [2024 Updated]
An AI algorithm is only as good as the data you feed it. It is neither a bold nor an unconventional statement. AI could have
What is Named Entity Recognition (NER) – Example, Use Cases, Benefits & Challenges
Every time we hear a word or read a text, we have the natural ability to identify and categorize the word into people, place, location,
Choose Diversity When Sourcing Training Data For Computer Vision Models
Computer Vision (CV) is a niche subset of Artificial Intelligence that is bridging the gap between science fiction and reality. Novels, movies, and audio dramas
What is Data Collection? Everything a Beginner Needs to Know
Intelligent #AI/ #ML models are everywhere, be it, Predictive healthcare models, proactive diagnosis,
The Full-fledged Guide De-identify Unstructured Healthcare Data
Analyzing structured data can aid in better diagnosis and patient care. However, analyzing unstructured data can fuel revolutionary medical breakthroughs and discoveries. This is the
Image Annotation Techniques for Computer Vision Projects
https://www.youtube.com/watch?v=YbKW1qEuxEQ Discover the different ways images are labeled to help AI learn to “see” and understand the world around it. From drawing boxes around objects
Shaip – Your Trusted AI Training Data Platform
https://www.youtube.com/watch?v=ZoEHPUYV5U0 Efficient AI development relies on high-quality training data, with Shaip providing diverse data collection and annotation solutions globally. Highlights: 🌍 Global Reach: Shaip collaborates
Decoding Speech: How Audio Labeling Empowers AI Understanding
https://www.youtube.com/watch?v=sAHa6KHkv4o Explore how we turn spoken words into text for AI. This video dives into how we label sounds in audio clips, making it easier
De-identification in Healthcare: Meeting HIPAA Standards in 2024
Fortifying the digital infrastructure of healthcare organizations involves complexities and heavy investments. From deploying intricate tech stacks to upskilling challenges, navigating bottlenecks is a task.
What are NLP, NLU, and NLG, and Why should you know about them and their differences?
Artificial Intelligence and its applications are progressing tremendously with the development of powerful apps like ChatGPT, Siri, and Alexa that bring users a world of
How Much Data Is Enough? A Deep Dive into Machine Learning Needs
A working AI model is built on solid, reliable, and dynamic datasets. Without rich and detailed AI training data at hand, it is certainly not
Top 4 Speech Recognition Challenges & Solutions In 2024
A few decades back, if we were to tell someone that we could place an order for a product or service simply by talking to
LLM in Banking and Finance: Key Use Cases, Examples, and a Practical Guide
In today’s fast-paced financial world, technology is reshaping the way banks operate. As they aim to improve customer service, streamline processes, and ensure compliance, a
The Complete Guide to Conversational AI
The Complete Guide to Conversational AI The Ultimate Buyers Guide 2024 Table of Contents Download eBook Get My Copy Introduction No one these days stops
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.
30K+ docs web scrapped & annotated for Content Moderation
To build automated content moderation ML Model bifurcated into Toxic, Mature, or Sexually Explicit categories
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.
Key Phrase Collection for in-car voice-activated systems
200k+ key phrases/brand prompts collected in 12 global languages from 2800 speakers in stipulated time.
Over 8k Audio hours Automatic
Speech Recognition
To assist the client with their Speech Technology speech roadmap for Indian languages.
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.
Buyer’s Guide: Large Language Models LLM
Ever scratched your head, amazed at how Google or Alexa seemed to ‘get’ you? Or have you found yourself reading a computer-generated essay that sounds eerily human? You’re not alone. It’s time to pull back the curtain and reveal the secret: Large Language Models, or LLMs.
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.
What is Medical Speech Recognition and How Does it Work?
Just imagine a world where doctors would no longer have to spend hours typing up patient notes but rather speak into a device and see
What is NLP? How it Works, Benefits, Challenges, Examples
Discover our NLP infographic: Learn how it works, explore benefits, challenges, market growth, use cases, and future trends in Natural Language Processing.
Top NLP Datasets to Supercharge Your Machine Learning Models
What is NLP? NLP (Natural Language Processing) helps computers understand human language. It’s like teaching computers to read, understand, and respond to text and speech
22 Best Open-source OCR & Handwriting Datasets to Train your ML models
The rise in optical character recognition usage can primarily be attributed to the increase in the production of automatic recognition systems. As a result, the
What Are Small Language Models? Real Word Example and Training Data
They say great things come in small packages and perhaps, Small Language Models (SLMs) are perfect examples of this. Whenever we talk about AI and
What is Voice Recognition: Why You Need it, Use Cases, Examples & Advantages
Market Size: In less than 20 years, voice recognition technology has grown phenomenally. But what does the future hold? In 2020, the global voice recognition technology
Top 19 Medical Datasets to Supercharge Your Machine Learning Models
If you’re working on healthcare machine learning projects, having access to open and free datasets is crucial. They provide the foundation for developing effective models,
What We Need To Know About AI In Emotion Recognition In 2024
Are we happy? Are we really happy? This is probably one of the most terrifying questions to ever confront us humans. On a deep philosophical
The Complete Anatomy Of Ambient AI In Healthcare In Less Than 5 Minutes
The brilliance of technology lies in the fact that it works in more ways than its intended purposes. When the Apple Watch was rolled out,
What is ASR (Automatic Speech Recognition): Everything a Beginner Needs to Know (in 2024)
Automatic Speech Recognition technology has been there for a long haul but recently gained prominence after its use became prevalent in various smartphone applications like
OCR (Optical Character Recognition) – 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 A To Z Of Data Annotation
What is Data Annotation [2024 Updated] – Best Practices, Tools, Benefits, Challenges, Types & more Need to know the Data Annotation basics? Read this complete
Everything About Conversational AI: How it’s works, Example, Benefits and Challenges [Infographic 2024]
Explore how Conversational AI is reshaping industries with personalized interactions. Check out our Infographic.
Chain-of-Thought Prompting – Everything You Need To Know About It
Problem-solving has been one of the innate capabilities of humans. Ever since our primitive days, when our major challenges in life were not getting eaten
Text Classification in Machine Learning – 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
AI Reliability Gap: Exploring The Role Of Humans In The World Of AI
Artificial Intelligence has often been regarded highly because of its fundamental three abilities – speed, relevance, and accuracy. Vivid pictures of them taking over the
27 Open Source Image Datasets to Enhance Your Computer Vision Project [2024 Updated]
An AI algorithm is only as good as the data you feed it. It is neither a bold nor an unconventional statement. AI could have
What is Named Entity Recognition (NER) – Example, Use Cases, Benefits & Challenges
Every time we hear a word or read a text, we have the natural ability to identify and categorize the word into people, place, location,
Choose Diversity When Sourcing Training Data For Computer Vision Models
Computer Vision (CV) is a niche subset of Artificial Intelligence that is bridging the gap between science fiction and reality. Novels, movies, and audio dramas
What is Data Collection? Everything a Beginner Needs to Know
Intelligent #AI/ #ML models are everywhere, be it, Predictive healthcare models, proactive diagnosis,
The Full-fledged Guide De-identify Unstructured Healthcare Data
Analyzing structured data can aid in better diagnosis and patient care. However, analyzing unstructured data can fuel revolutionary medical breakthroughs and discoveries. This is the
Image Annotation Techniques for Computer Vision Projects
https://www.youtube.com/watch?v=YbKW1qEuxEQ Discover the different ways images are labeled to help AI learn to “see” and understand the world around it. From drawing boxes around objects
Shaip – Your Trusted AI Training Data Platform
https://www.youtube.com/watch?v=ZoEHPUYV5U0 Efficient AI development relies on high-quality training data, with Shaip providing diverse data collection and annotation solutions globally. Highlights: 🌍 Global Reach: Shaip collaborates
Decoding Speech: How Audio Labeling Empowers AI Understanding
https://www.youtube.com/watch?v=sAHa6KHkv4o Explore how we turn spoken words into text for AI. This video dives into how we label sounds in audio clips, making it easier
De-identification in Healthcare: Meeting HIPAA Standards in 2024
Fortifying the digital infrastructure of healthcare organizations involves complexities and heavy investments. From deploying intricate tech stacks to upskilling challenges, navigating bottlenecks is a task.
What are NLP, NLU, and NLG, and Why should you know about them and their differences?
Artificial Intelligence and its applications are progressing tremendously with the development of powerful apps like ChatGPT, Siri, and Alexa that bring users a world of
How Much Data Is Enough? A Deep Dive into Machine Learning Needs
A working AI model is built on solid, reliable, and dynamic datasets. Without rich and detailed AI training data at hand, it is certainly not
Top 4 Speech Recognition Challenges & Solutions In 2024
A few decades back, if we were to tell someone that we could place an order for a product or service simply by talking to
LLM in Banking and Finance: Key Use Cases, Examples, and a Practical Guide
In today’s fast-paced financial world, technology is reshaping the way banks operate. As they aim to improve customer service, streamline processes, and ensure compliance, a
The Complete Guide to Conversational AI
The Complete Guide to Conversational AI The Ultimate Buyers Guide 2024 Table of Contents Download eBook Get My Copy Introduction No one these days stops
What is NLP? How it Works, Benefits, Challenges, Examples
Discover our NLP infographic: Learn how it works, explore benefits, challenges, market growth, use cases, and future trends in Natural Language Processing.
OCR (Optical Character Recognition) – 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.
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
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