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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.
The 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
Large Language Models In Healthcare: Breakthroughs & Challenges
Why do we – as a human civilization – need to nurture scientific competencies and foster R&D-driven innovation? Can’t conventional techniques and approaches be followed
Leveraging Voice – Overview and Applications of Voice Recognition Technology
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
What is NLP? How it Works, Benefits, Challenges, Examples
Download Infographics What is Natural Language Processing (NLP)? Natural Language Processing (NLP) is a subset of Artificial Intelligence (AI) – specifically Machine Learning (ML) that
The Bizarre World Of AI And Its Hallucinations
The human mind has remained inexplicable and mysterious for a long, long time. And looks like scientists have acknowledged a new contender to this list
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
Demystifying Structured And Unstructured Data In Healthcare
The subconscious visuals of healthcare data scientists and analysts at work involve neatly organized spreadsheets, algorithms, programming languages processing data, and visualization tools that churn
What is AI Image Recognition? How It Works & Examples
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 Synthetic Data Means in the Age of Data Privacy Concerns
Data-driven decision-making is the mantra for enterprise success and excellence today. From fintech and manufacturing to retail and supply chain, every industry is riding the
An Extensive Guide To Understanding Longitudinal Patient Data
Precision healthcare stems from precise diagnosis. Since allopathy is evidence-based, this precision boils down to the most accurate and up-to-date recording of symptoms and any
Beyond GDPR: How De-Identification Unlocks the Future of Healthcare Data
The healthcare landscape is undergoing a digital revolution, with data emerging as the lifeblood of medical advancements. Yet, this progress must be balanced with the
A Beginner’s Guide To Large Language Model Evaluation
For long, humans have been deployed to execute some of the most redundant tasks in the name of processes and workflows. This dedication of human
Why Multilingual AI Text Data is Crucial for Training Advanced AI Models
The world is beautifully diverse. While we are divided by geographic locations, frontiers, languages, ideologies, and more, we are united by emotions and the way
Red Teaming in LLMs: Enhancing AI Security and Resilience
The internet is a medium that is as alive and thriving as the earth. From being a treasure trove of information and knowledge, it is
Data Wars 2024: The Ethical and Practical Struggles of AI Training
If you asked a Gen AI model to write lyrics to a song like the Beatles would have and if it did an impressive job,
The Cost of Non-Compliance: EU AI Act Penalties and How Shaip Helps You Avoid Them
Introduction The European Union’s Artificial Intelligence Act (EU AI Act) not only sets stringent requirements for AI systems but also imposes severe penalties for non-compliance.
Navigating the EU AI Act: How Shaip Can Help You Overcome the Challenges
Introduction The European Union’s Artificial Intelligence Act (EU AI Act) is a groundbreaking regulation that aims to promote the development and deployment of trustworthy AI
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,
Image Annotation – Key Use Cases, Techniques, and Types [2024]
The Ultimate Guide to Image Annotation for Computer Vision: Applications, Methods, and Categories Table of Contents Download eBook Get My Copy This guide handpicks concepts
Navigating AI Compliance: Strategies for Ethical and Regulatory Alignment
Introduction The regulation of artificial intelligence (AI) varies significantly around the world, with different countries and regions adopting their own approaches to ensure that the
5 Essential Questions to Ask Before Outsourcing Healthcare Data Labeling
The global market for artificial intelligence in the healthcare sector is estimated to rise from $ 1.426 billion in 2017 to $ 28.04 in 2025.
Conversational AI in Healthcare: The Next Big Thing for the Healthcare Industry
AI in healthcare is a relatively new technology but has gained momentum over the past few years. It has been used for various tasks, from
7 Proven Methods to Customizing Speech Data Collection
The voice recognition market, in the world, is expected to grow to $84.97 billion by 2032 from $10.7 billion in 2023 at a CAGR of
Automatic Speech Recognition (ASR): 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
22 Best Open-source OCR & 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.
The Human Touch: Evaluating the Real-World Effectiveness of LLMs
Introduction As the development of Large Language Models (LLMs) accelerates, it’s vital to assess their practical application across various fields comprehensively. This article delves into
33 Best NLP Datasets to Train Your Natural Language Processing Models
Natural language processing is a vital chunk in the machine learning armour. However, it needs massive amounts of data and training for the model to
Embracing Diversity: The Path to Culturally Rich AI Systems
Given the constraints and in the spirit of creating original content, I will draft a new article inspired by the topic of culturally inclusive Large
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.
The 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
Large Language Models In Healthcare: Breakthroughs & Challenges
Why do we – as a human civilization – need to nurture scientific competencies and foster R&D-driven innovation? Can’t conventional techniques and approaches be followed
Leveraging Voice – Overview and Applications of Voice Recognition Technology
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
What is NLP? How it Works, Benefits, Challenges, Examples
Download Infographics What is Natural Language Processing (NLP)? Natural Language Processing (NLP) is a subset of Artificial Intelligence (AI) – specifically Machine Learning (ML) that
The Bizarre World Of AI And Its Hallucinations
The human mind has remained inexplicable and mysterious for a long, long time. And looks like scientists have acknowledged a new contender to this list
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
Demystifying Structured And Unstructured Data In Healthcare
The subconscious visuals of healthcare data scientists and analysts at work involve neatly organized spreadsheets, algorithms, programming languages processing data, and visualization tools that churn
What is AI Image Recognition? How It Works & Examples
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 Synthetic Data Means in the Age of Data Privacy Concerns
Data-driven decision-making is the mantra for enterprise success and excellence today. From fintech and manufacturing to retail and supply chain, every industry is riding the
An Extensive Guide To Understanding Longitudinal Patient Data
Precision healthcare stems from precise diagnosis. Since allopathy is evidence-based, this precision boils down to the most accurate and up-to-date recording of symptoms and any
Beyond GDPR: How De-Identification Unlocks the Future of Healthcare Data
The healthcare landscape is undergoing a digital revolution, with data emerging as the lifeblood of medical advancements. Yet, this progress must be balanced with the
A Beginner’s Guide To Large Language Model Evaluation
For long, humans have been deployed to execute some of the most redundant tasks in the name of processes and workflows. This dedication of human
Why Multilingual AI Text Data is Crucial for Training Advanced AI Models
The world is beautifully diverse. While we are divided by geographic locations, frontiers, languages, ideologies, and more, we are united by emotions and the way
Red Teaming in LLMs: Enhancing AI Security and Resilience
The internet is a medium that is as alive and thriving as the earth. From being a treasure trove of information and knowledge, it is
Data Wars 2024: The Ethical and Practical Struggles of AI Training
If you asked a Gen AI model to write lyrics to a song like the Beatles would have and if it did an impressive job,
The Cost of Non-Compliance: EU AI Act Penalties and How Shaip Helps You Avoid Them
Introduction The European Union’s Artificial Intelligence Act (EU AI Act) not only sets stringent requirements for AI systems but also imposes severe penalties for non-compliance.
Navigating the EU AI Act: How Shaip Can Help You Overcome the Challenges
Introduction The European Union’s Artificial Intelligence Act (EU AI Act) is a groundbreaking regulation that aims to promote the development and deployment of trustworthy AI
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,
Image Annotation – Key Use Cases, Techniques, and Types [2024]
The Ultimate Guide to Image Annotation for Computer Vision: Applications, Methods, and Categories Table of Contents Download eBook Get My Copy This guide handpicks concepts
Navigating AI Compliance: Strategies for Ethical and Regulatory Alignment
Introduction The regulation of artificial intelligence (AI) varies significantly around the world, with different countries and regions adopting their own approaches to ensure that the
5 Essential Questions to Ask Before Outsourcing Healthcare Data Labeling
The global market for artificial intelligence in the healthcare sector is estimated to rise from $ 1.426 billion in 2017 to $ 28.04 in 2025.
Conversational AI in Healthcare: The Next Big Thing for the Healthcare Industry
AI in healthcare is a relatively new technology but has gained momentum over the past few years. It has been used for various tasks, from
7 Proven Methods to Customizing Speech Data Collection
The voice recognition market, in the world, is expected to grow to $84.97 billion by 2032 from $10.7 billion in 2023 at a CAGR of
Automatic Speech Recognition (ASR): 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
22 Best Open-source OCR & 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.
The Human Touch: Evaluating the Real-World Effectiveness of LLMs
Introduction As the development of Large Language Models (LLMs) accelerates, it’s vital to assess their practical application across various fields comprehensively. This article delves into
33 Best NLP Datasets to Train Your Natural Language Processing Models
Natural language processing is a vital chunk in the machine learning armour. However, it needs massive amounts of data and training for the model to
Embracing Diversity: The Path to Culturally Rich AI Systems
Given the constraints and in the spirit of creating original content, I will draft a new article inspired by the topic of culturally inclusive Large
What is NLP? How it Works, Benefits, Challenges, Examples
Download Infographics What is Natural Language Processing (NLP)? Natural Language Processing (NLP) is a subset of Artificial Intelligence (AI) –
Optical Character Recognition (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
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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