AI Resource Center
Build a better data pipeline
Training data to build multi-lingual Conversational AI
High-quality audio data sourced, created, curated, and transcribed to train conversational AI in 27 languages.
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.
Image Collection & Annotation to enhance Image RecognitionHigh-quality image data sourced and annotated to train image recognition models for new smartphone series.
Data De-Id Anonymization Platform
Get critical data de-identified by credentialed domain experts
AI Data Platform OverviewAcquire quality data and scale AI/ML models
Data Annotation PlatformUnlock critical information in unstructured data from financial, insurance, etc.
Medical Annotation PlatformNER helps organizations to extract critical information in unstructured medical data
Buyer’s Guide for Data AnnotationSo, 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.Read more Download
Future of Voice TechnologyVoice 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.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