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Real Time Call Transcription and NLP
Real Time Call Transcription and NLP
Case study

October 26, 2021

Quantiphi built an end-to-end automated pipeline for real-time transcription and natural language processing on the transcript

Back-Tracking of Sentiment Drivers in NLP
Back-Tracking of Sentiment Drivers in NLP
Blog

April 14, 2021

This blog post is a noteworthy contribution to the QuriousWriter Blog Contest. Sentiment analysis in natural language processing (NLP) helps to determine whether the input data is positive, negative or neutral. It is generally performed...

What is Agentic AI?
What is Agentic AI?
Blog

April 7, 2025

Agentic AI is a smarter, more autonomous form of artificial intelligence that doesn’t just follow instructions, it thinks, adapts, and acts independently. Unlike traditional AI, which sticks to predefined rules, Agentic AI can This ability...

Modernizing Risk Adjustment with AI – Smarter Strategies for Healthcare Payers
Modernizing Risk Adjustment with AI – Smarter Strategies for Healthcare Payers
Blog

April 3, 2025

Risk adjustment is central to Medicare Advantage plans—but as CMS ramps up RADV audits and implements extrapolation, the stakes for payers have never been higher. Inaccurate or unsupported HCC coding can now result in significant...

LLMs & Responsible AI #4: Charting the Path to Fair, Unbiased, and Responsible AI
LLMs & Responsible AI #4: Charting the Path to Fair, Unbiased, and Responsible AI
Blog

March 25, 2025

Introduction: Bias in LLMs and Why It Matters Large Language Models (LLMs) have revolutionized the way we interact with technology, showcasing remarkable capabilities across a wide range of applications. From assisting in everyday tasks to...

LLMs & Responsible AI #3: Addressing Robustness Risks in LLMs to Build Resilient AI
LLMs & Responsible AI #3: Addressing Robustness Risks in LLMs to Build Resilient AI
Blog

March 4, 2025

Introduction: Why Robustness in LLMs Matters More Than Ever As organizations increasingly deploy generative AI for productivity, customer service, and innovation, ensuring robustness in LLMs is critical. Recent studies reveal that many NLP systems, including...

Pioneering the Enterprise AI Revolution: Unpacking Quantiphi’s 2024 Industry Recognitions
Pioneering the Enterprise AI Revolution: Unpacking Quantiphi’s 2024 Industry Recognitions
Blog

February 24, 2025

In an era where artificial intelligence is reshaping the technological landscape, industry recognition serves as a crucial benchmark for innovation and excellence. Quantiphi, at the forefront of AI-first digital engineering, emerged as a testament to...

AI in Drug Development: From Molecule to Market and Beyond
AI in Drug Development: From Molecule to Market and Beyond
Blog

January 20, 2025

The pharmaceutical industry is entering a new era where artificial intelligence (AI) is reshaping every stage of drug development—from initial molecule discovery to ongoing post-market surveillance. As  the AI-driven drug discovery market is projected to...

Harnessing Generative AI for Enterprise Success: Unlocking the Full Potential with baioniq<sup>TM</sup>
Harnessing Generative AI for Enterprise Success: Unlocking the Full Potential with baioniqTM
Blog

January 13, 2025

In a world where technology evolves rapidly, Generative AI has transformed how we interact with information, make decisions, and conduct business. AI-powered teams can now generate insightful reports in seconds, automate routine tasks, and extract...

Optimizing Banking IT: 5X Faster Incident Resolution with LLM-Powered Insights
Optimizing Banking IT: 5X Faster Incident Resolution with LLM-Powered Insights
Case study

January 13, 2025

Optimizing Banking IT: 5X Faster Incident Resolution with LLM-Powered Insights Quantiphi developed LLM-driven insights to monitor and manage IT operations, enhancing incident prioritization and resolution for a major banking client. Read how Quantiphi’s solution achieved...