Shaip Blog
Know the latest insights and solutions that drive Artificial Intelligence & Machine Learning Technologies.
How Human-in-the-Loop Systems Enhance AI Accuracy, Fairness, and Trust
Artificial Intelligence (AI) continues to transform industries with its speed, relevance, and accuracy. However, despite impressive capabilities, AI systems often face a critical challenge known
Building Inclusive AI for India: Shaip’s Role in Project Vaani
In a country as culturally diverse and linguistically rich as India, building inclusive AI begins with collecting representative, high-quality datasets. That’s the vision behind Project
Golden Datasets: The Foundation of Reliable AI Systems
The golden datasets in AI refer to the purest and highest quality datasets that you can get to train your AI system. Being the highest
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
The Importance of Doctor-Patient Conversations in Healthcare
We know that proper communication between a doctor and a patient can reduce diagnosis delays by 30% and improve treatment adherence rates by up to
6 Key Strategies to Simplify AI Data Collection and Optimize Model Performance
The evolving AI market presents tremendous opportunities for businesses eager to develop AI-powered applications. However, building successful AI models requires complex algorithms trained on high-quality
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 is Synthetic Data in AI? Benefits, Use Cases, Challenges, and Applications
In the evolving world of artificial intelligence (AI) and machine learning (ML), data serves as the fuel powering innovation. However, acquiring high-quality, real-world data can
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,
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.
The Role of Multimodal Medical Datasets in Advancing AI Research
Did you know AI models that merge diverse medical data can enhance predictive accuracy for critical care outcomes by 12% or more over single-modality approaches?
AI in Healthcare: Understand the Benefits and Challenges
The market value of artificial intelligence in healthcare hit a new high in 2020 at $6.7bn. Experts in the field and tech veterans also reveal
The True Cost of AI Training Data: How to Budget Effectively for High-Quality Datasets
Developing Artificial Intelligence (AI) systems is a complex and resource-intensive process. From sourcing data to training models, the journey involves numerous challenges that can significantly
Off-the-Shelf AI Training Data: What It Is and How to Select the Right Vendor
Building AI and machine learning (ML) solutions often requires massive amounts of high-quality training datasets. However, creating these datasets from scratch demands significant time, effort,
Why Multilingual AI Text Data is Crucial for Training Advanced AI Models
The world is a vibrant tapestry of cultures and languages. While differences in geography, language, and ideologies exist, shared emotions connect us. To truly harness
In-House or Outsourced Data Annotation – Which Gives Better AI Results?
In 2020, 1.7 MB of data was created every second by people. And in the same year, we produced close to 2.5 quintillion data bytes
The Role of NLP in Insurance Fraud Detection and Prevention
We are witnessing an era in which AI is also being used by fraudsters. This makes it extremely difficult for users to detect suspicious activity.
The A To Z Of Data Annotation
What is Data Annotation [2025 Updated] – Best Practices, Tools, Benefits, Challenges, Types & more Need to know the Data Annotation basics? Read this complete
Shaip Expands Availability of High-Quality Healthcare Data throughPartnership with Protege
Louisville, Kentucky, and New York, New York, USA, March 4, 2025: Shaip, a global leader in AI-driven data solutions, has announced the availability of its
What is Anti-Spoofing and Its Techniques for Liveness Detection in Face Recognition?
Facial recognition has become a key pillar of present security systems in smartphone authentication, banking, and surveillance. However, with the increasing application of facial recognition,
Top NLP Trends to Look After in 2025
If you are active in the AI space, then you must be familiar with NLP, which stands for Natural Language Processing. NLP is changing how
What are the Top Multimodal AI Applications and Use Cases?
Multimodal AI brings together knowledge from varying resources like text, pictures, audio, and video, thus being able to provide richer and more thorough insights into
What is RAFT? RAG + Fine-Tuning
In simple terms, retrieval-augmented fine-tuning, or RAFT, is an advanced AI technique in which retrieval-augmented generation is joined with fine-tuning to enhance generative responses from
What are Large Multimodal Models (LMMs)?
Large Multimodal Models (LMMs) are a revolution in artificial intelligence (AI). Unlike traditional AI models that operate within a single data environment such as text,
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