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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.Best Open Source Healthcare Datasets for Machine Learning Projects
The global healthcare system produces vast amounts of medical data on a daily basis, which has the potential to be utilized for machine learning applications.
Navigating Data Privacy in AI: Strategies for Compliance and Innovation
Introduction In the fast-evolving landscape of artificial intelligence (AI), companies like OpenAI are facing significant challenges in balancing the insatiable need for data with stringent
The Future of Data with Intelligent Character Recognition (ICR)
Handwritten notes hold a special charm even in our digital world. Intelligent Character Recognition (ICR) helps bridge the analog and digital divide, converting handwritten text
The Impact of NLP on Healthcare Diagnostics
Natural Language Processing (NLP) transforms how we interact with technology. It processes human language to unlock vast information potential. The technology holds the same potential
Choosing the Right Speech Recognition Dataset for Your AI Model
Imagine interacting with Siri or Alexa. Their ability to comprehend our speech is fascinating. This capability stems from the datasets used in their training. These
Healthcare Datasets: Boon for Healthcare AI
Artificial intelligence, a term once found mostly in science fiction, is now a reality that fuels the growth of various industries. Next Move Strategy Consulting
Reinforcement Learning with Human Feedback: Definition and Steps
Reinforcement learning (RL) is a type of machine learning. In this approach, algorithms learn to make decisions through trial and error, much like humans do.
Causes of AI Hallucinations (and Techniques to Reduce Them)
AI hallucinations refer to instances where AI models, particularly large language models (LLMs), generate information that appears true but is incorrect or unrelated to the
Understanding Clinical Validation: Ensuring Medical Record Accuracy and Patient Safety
Think of a scenario where a new diagnostic tool is developed. Doctors are excited about its potential. Yet, before integrating it into routine care, they
The Importance of Ethical AI / Fair AI and Types of Biases to Avoid
In the burgeoning field of artificial intelligence (AI), the focus on ethical considerations and fairness is more than a moral imperative—it’s a foundational necessity for
AI Medical Records Summarization: Definition, Challenges, And Best Practices
The growth of medical records in the healthcare industry has become both a challenge and an opportunity. Imagine a world where every detail in a
Clinical Data Abstraction: Definition, Process, and more
Hospitals and clinics encounter thousands of patients each year. This requires a vast number of dedicated physicians and nurses. They work tirelessly to provide care
Synthetic data in healthcare: Definition, Benefits, and Challenges
Imagine a scenario where researchers are developing a new drug. They need extensive patient data for testing, but there are significant concerns about privacy and
HIPAA Expert Determination for De-Identification
The Health Insurance Portability and Accountability Act (HIPAA) sets the standard for protecting patient data in healthcare. A crucial aspect of this is de-identifying Protected
Pioneering Oncology Research with NLP: The Shaip Breakthrough
Download Case Study In the quest to conquer cancer, data is as vital as determination. At Shaip, we’re proud to have enabled a major leap
The Power of Natural Language Processing (NLP) in Radiology: Enhancing Diagnosis and Efficiency
Radiology plays a crucial role in healthcare. It uses imaging techniques like CT scans, X-rays, and MRI to diagnose and treat various conditions. Natural Language
The Role Of Natural Language Processing (NLP) In Oncology
Cancer poses a significant health challenge globally. It happens when cells grow and spread in an uncontrolled way. It’s the second leading cause of death
Everything You Need To Know About Reinforcement Learning from Human Feedback
2023 saw a massive rise in the adoption of AI tools like ChatGPT. This surge initiated a lively debate and people are discussing AI’s benefits,
The Power of AI in the Automotive Industry
When it comes to integrating AI into cars, the world stands at a remarkable crossroads. Imagine driving on a busy road with AI, managing your
Benefits Of Text to Speech Across Industries
Text-to-speech (TTS) technology is an innovative solution that converts written text into spoken words. It has become a game-changer in several industries and has revolutionized
The A To Z Of Data Annotation
A Beginner’s Guide to Data Annotation: Tips and Best Practices The Ultimate Buyers Guide 2024 Table of Index Introduction What is Machine Learning? What is
Data De-identification Guide: Everything a Beginner Needs to Know (in 2024)
In the age of digital transformation, healthcare organizations are rapidly shifting their operations to digital platforms. While this brings efficiency and streamlined processes, it also
Generative AI in Healthcare: Applications, Advantages, Challenges and Future Trends
Healthcare has always been a field where innovation is appreciated and crucial for saving lives. Despite technological advancements, the healthcare industry still faces lingering challenges.
Difference Between Responsible AI & Ethical AI
The fast-growing global AI market is expected to reach $1847 billion in 2030. With AI taking center stage in our lives, knowing what kind of
How Bhasini Fuels India’s Linguistic Inclusivity
Prime Minister Narendra Modi unveiled “Bhashini” at the G20 Digital Economy Working Group Ministers Meet. This AI-powered language translation platform celebrates India’s linguistic diversity. Bhashini
The Role of Consent in Training Generative AI
Generative AI has changed our world with its power to create content that mimics human intelligence. Think of the technology producing articles, art, or music
Role of Large Language Models in Powering Multilingual AI Virtual Assistants
Virtual assistants are progressing beyond simple question-and-answer formats to solving complex queries. Today, AI-driven virtual assistants communicate in multiple languages easily, and large language models,
Content Moderation with HITL: Top Benefits and Types
Today, over 5.19 billion individuals explore the internet. That’s a vast audience, isn’t it? The sheer volume of content generated on the internet is nothing
5 Types of Content Moderation and How to Scale Using AI?
The need and demand for user-generated data in today’s dynamic business world is continuously increasing, with content moderation, too, gaining sufficient attention. Whether it is
Unstructured Text in Data Mining: Unlocking Insights in Document Processing
We are collecting data like never before, and by 2025, around 80% of this data will be unstructured. Data mining helps shape this data, and
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.
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.
Enabling Ambient Technology Development through Synthetic Healthcare Conversations
Synthetic Healthcare Conversations for ASR
Enhancing Prior Authorization Workflows through Guideline Adherence Annotations
Streamlining Clinical Workflows with Precision and Compliance.
Licensing, De-identification, & Annotation for NLP Model Innovation
Improvement of Oncology Research Utilizing NLP and Data De-identification.
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.
Best Open Source Healthcare Datasets for Machine Learning Projects
The global healthcare system produces vast amounts of medical data on a daily basis, which has the potential to be utilized for machine learning applications.
Navigating Data Privacy in AI: Strategies for Compliance and Innovation
Introduction In the fast-evolving landscape of artificial intelligence (AI), companies like OpenAI are facing significant challenges in balancing the insatiable need for data with stringent
The Future of Data with Intelligent Character Recognition (ICR)
Handwritten notes hold a special charm even in our digital world. Intelligent Character Recognition (ICR) helps bridge the analog and digital divide, converting handwritten text
The Impact of NLP on Healthcare Diagnostics
Natural Language Processing (NLP) transforms how we interact with technology. It processes human language to unlock vast information potential. The technology holds the same potential
Choosing the Right Speech Recognition Dataset for Your AI Model
Imagine interacting with Siri or Alexa. Their ability to comprehend our speech is fascinating. This capability stems from the datasets used in their training. These
Healthcare Datasets: Boon for Healthcare AI
Artificial intelligence, a term once found mostly in science fiction, is now a reality that fuels the growth of various industries. Next Move Strategy Consulting
Reinforcement Learning with Human Feedback: Definition and Steps
Reinforcement learning (RL) is a type of machine learning. In this approach, algorithms learn to make decisions through trial and error, much like humans do.
Causes of AI Hallucinations (and Techniques to Reduce Them)
AI hallucinations refer to instances where AI models, particularly large language models (LLMs), generate information that appears true but is incorrect or unrelated to the
Understanding Clinical Validation: Ensuring Medical Record Accuracy and Patient Safety
Think of a scenario where a new diagnostic tool is developed. Doctors are excited about its potential. Yet, before integrating it into routine care, they
The Importance of Ethical AI / Fair AI and Types of Biases to Avoid
In the burgeoning field of artificial intelligence (AI), the focus on ethical considerations and fairness is more than a moral imperative—it’s a foundational necessity for
AI Medical Records Summarization: Definition, Challenges, And Best Practices
The growth of medical records in the healthcare industry has become both a challenge and an opportunity. Imagine a world where every detail in a
Clinical Data Abstraction: Definition, Process, and more
Hospitals and clinics encounter thousands of patients each year. This requires a vast number of dedicated physicians and nurses. They work tirelessly to provide care
Synthetic data in healthcare: Definition, Benefits, and Challenges
Imagine a scenario where researchers are developing a new drug. They need extensive patient data for testing, but there are significant concerns about privacy and
HIPAA Expert Determination for De-Identification
The Health Insurance Portability and Accountability Act (HIPAA) sets the standard for protecting patient data in healthcare. A crucial aspect of this is de-identifying Protected
Pioneering Oncology Research with NLP: The Shaip Breakthrough
Download Case Study In the quest to conquer cancer, data is as vital as determination. At Shaip, we’re proud to have enabled a major leap
The Power of Natural Language Processing (NLP) in Radiology: Enhancing Diagnosis and Efficiency
Radiology plays a crucial role in healthcare. It uses imaging techniques like CT scans, X-rays, and MRI to diagnose and treat various conditions. Natural Language
The Role Of Natural Language Processing (NLP) In Oncology
Cancer poses a significant health challenge globally. It happens when cells grow and spread in an uncontrolled way. It’s the second leading cause of death
Everything You Need To Know About Reinforcement Learning from Human Feedback
2023 saw a massive rise in the adoption of AI tools like ChatGPT. This surge initiated a lively debate and people are discussing AI’s benefits,
The Power of AI in the Automotive Industry
When it comes to integrating AI into cars, the world stands at a remarkable crossroads. Imagine driving on a busy road with AI, managing your
Benefits Of Text to Speech Across Industries
Text-to-speech (TTS) technology is an innovative solution that converts written text into spoken words. It has become a game-changer in several industries and has revolutionized
The A To Z Of Data Annotation
A Beginner’s Guide to Data Annotation: Tips and Best Practices The Ultimate Buyers Guide 2024 Table of Index Introduction What is Machine Learning? What is
Data De-identification Guide: Everything a Beginner Needs to Know (in 2024)
In the age of digital transformation, healthcare organizations are rapidly shifting their operations to digital platforms. While this brings efficiency and streamlined processes, it also
Generative AI in Healthcare: Applications, Advantages, Challenges and Future Trends
Healthcare has always been a field where innovation is appreciated and crucial for saving lives. Despite technological advancements, the healthcare industry still faces lingering challenges.
Difference Between Responsible AI & Ethical AI
The fast-growing global AI market is expected to reach $1847 billion in 2030. With AI taking center stage in our lives, knowing what kind of
How Bhasini Fuels India’s Linguistic Inclusivity
Prime Minister Narendra Modi unveiled “Bhashini” at the G20 Digital Economy Working Group Ministers Meet. This AI-powered language translation platform celebrates India’s linguistic diversity. Bhashini
The Role of Consent in Training Generative AI
Generative AI has changed our world with its power to create content that mimics human intelligence. Think of the technology producing articles, art, or music
Role of Large Language Models in Powering Multilingual AI Virtual Assistants
Virtual assistants are progressing beyond simple question-and-answer formats to solving complex queries. Today, AI-driven virtual assistants communicate in multiple languages easily, and large language models,
Content Moderation with HITL: Top Benefits and Types
Today, over 5.19 billion individuals explore the internet. That’s a vast audience, isn’t it? The sheer volume of content generated on the internet is nothing
5 Types of Content Moderation and How to Scale Using AI?
The need and demand for user-generated data in today’s dynamic business world is continuously increasing, with content moderation, too, gaining sufficient attention. Whether it is
Unstructured Text in Data Mining: Unlocking Insights in Document Processing
We are collecting data like never before, and by 2025, around 80% of this data will be unstructured. Data mining helps shape this data, and
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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