Shaip Blog
Know the latest insights and solutions that drive Artificial Intelligence & Machine Learning Technologies.
In-House vs Crowdsourced vs Outsourced Data Labeling: Pros, Cons, & the “Right Fit” Framework
Choosing a data labeling model looks simple on paper: hire a team, use a crowd, or outsource to a provider. In practice, it’s one of
Adversarial Prompt Generation: Safer LLMs with HITL
What adversarial prompt generation means Adversarial prompt generation is the practice of designing inputs that intentionally try to make an AI system misbehave—for example, bypass
AI Data Collection Buyer’s Guide
AI Data Collection: What It Is and How It Works Learn the process, methods, best practices, benefits, challenges, costs, real world example and how to
Image Annotation – Key Use Cases, Techniques, and Types [Updated 2026]
What is Image Annotation: Types, Workflows, QA & Vendor Checklist [Updated 2026] This guide helps you choose the right annotation approach for your computer vision
Why Data Neutrality Is More Critical Than Ever in AI Training Data
If AI is the engine of your business, training data is the fuel. But here’s the uncomfortable truth: who controls that fuel – and how
The A To Z Of Data Annotation
What is Data Annotation [2026 Updated] – Best Practices, Tools, Benefits, Challenges, Types & more Need to know the Data Annotation basics? Read this complete
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
Multilingual Sentiment Analysis – Importance, Methodology, and Challenges
The internet has become a massive, always-on focus group. Customers share opinions in product reviews, app store comments, support chats, social media posts, and community
Choosing the Right Speech Recognition Dataset for Your AI Model
Imagine asking a voice assistant to summarize a long meeting, translate it into Spanish, and push the action items into your CRM—all from a single
Video Data Collection: Best practices, applications, and real-world AI use cases
If you’re building computer vision models today, you’re no longer asking whether you need video data—you’re asking how to collect the right video data without
What Is Sociophonetics and Why It Matters for AI
You’ve probably had this experience: a voice assistant understands your friend perfectly, but struggles with your accent, or with your parents’ way of speaking. Same
Agentic AI vs Generative AI: How to Choose the Right Intelligence for Your Enterprise
If 2023 was the year of generative AI, 2025 is quickly becoming the year of agentic AI. Generative models can write emails, draft code, or
LLM Benchmarking, Reimagined: Put Human Judgment Back In
If you only look at automated scores, most LLMs seem great—until they write something subtly wrong, risky, or off-tone. That’s the gap between what static
Multimodal AI: Real-World Use Cases, Limits & What You Need
If you’ve ever explained a vacation using photos, a voice note, and a quick sketch, you already get multimodal AI: systems that learn from and
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,
Bad Data in AI: The Silent ROI Killer (and How to Fix It in 2026)
The “Bad Data” Problem—Sharper in 2026 AI continues to transform industries — but poor data quality remains the #1 bottleneck to real ROI. The promise
What Is a Voice Assistant? How Siri & Alexa Understand You
What Is a Voice Assistant? A voice assistant is software that lets people talk to technology and get things done—set timers, control lights, check calendars,
What Is Liveness Detection and Biometric Spoofing?
If you rely on biometrics for onboarding or authentication, liveness detection (also called presentation attack detection, PAD) is critical to stop biometric spoofing—from printed photos
What is an “Utterance” in AI?: Examples, Datasets, and Best Practices
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
Training Data for Speech Recognition: A Practical Guide for B2B AI Teams
If you’re building voice interfaces, transcription, or multimodal agents, your model’s ceiling is set by your data. In speech recognition (ASR), that means collecting diverse,
Extracting Key Clinical Information from Electronic Health Records (EHRs) using NLP
This is no new information or statistic that over 80% of the healthcare data available for stakeholders is unstructured. The rise of EHRs has exponentially
NLP in Radiology: Applications, Benefits & Challenges in Medical Imaging Reports
Radiologists today face an overwhelming workload, spending hours reading and interpreting thousands of narrative medical imaging reports. With rising demand, manual reporting often leads to
Empowering Healthcare with Gen AI: 8 Real-World Use Cases Changing Medicine
Imagine walking into a hospital where your doctor can instantly pull up a personalized summary of your entire medical history, explain your MRI in plain
What is Speech-To-Text Technology and How Does it Works in Automatic Speech Recognition
Automatic speech recognition (ASR) has come a long way. Though it was invented long ago, it was hardly ever used by anyone. However, time and
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