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# NLP 10
# AI / ML 85
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How Voice AI Is Finally Listening and Why Healthcare Needs It Most
How Voice AI Is Finally Listening and Why Healthcare Needs It Most

Voice is becoming the new interface of work. From warehouses to call centers, AI-powered assistants are showing up everywhere: faster, hands-free, always on. The scale is staggering: the Voice AI Agents Market is forecasted to grow from $2.4 billion to $47.5 billion by 2034, and the approximate number of voice assistants in use globally is now over 8 billion – more than people on the planet. But recognizing speech isn’t enough anymore. In high-stakes environments like healthcare, voice AI ne

Published: October 30, 2025
# Healthcare
# AI / ML
# Speech Processing
# NLP
# LLM
How Retailers and Restaurants Use AI for Smarter Operations and Higher ROI cover
How Retailers and Restaurants Use AI for Smarter Operations and Higher ROI

Walk into a store, grab what you need, and leave – no checkout, no lines. Order room service without touching a phone. Get menu suggestions based on what you actually like, not what’s on special. This is how AI in retail and hospitality already working behind the scenes. Retail and HoReCa businesses (hotels, restaurants, catering) are using AI for retail and restaurant operations optimization to improve service speed, operational efficiency, and customer insight. This article looks at how that p

Published: June 20, 2025
# Retail / E-commerce
# AI / ML
# Speech Processing
# NLP
# LLM
Emerging Trends and Use Cases of Industry-Specific LLM Applications
Emerging Trends and Use Cases of Industry-Specific LLM Applications

Large Language Models (LLMs) are changing how businesses work, turning complex processes into faster, smarter, and more efficient operations. These AI models can write, analyze, and process massive amounts of text in ways that once required hours of human effort. Companies are using them to power customer support, generate content, analyze financial risks, and even assist with software development – all with greater speed and precision. For many, enterprise LLM integration is becoming a core s

Published: March 27, 2025
# AI / ML
# NLP
# LLM
How to Scale AI in Your Organization cover
How to Scale AI in Your Organization

According to WEKA's 2023 Global Trends in AI Report, 69% of organizations now have AI projects up and running, and 28% are using AI across their whole business. This shows a big move from just trying out AI to making it a key part of how companies operate and succeed. However, this is just the beginning as the major point is not to have only AI but to move from AI pilot projects to production-ready systems that work to your benefit. Organizations have to address various challenges such as the c

Published: April 4, 2024
# AI / ML
# Computer Vision
# NLP
# LLM
The Art and Science cover
The Art and Science of Conversation Design

Conversation design for generative AI is key in making artificial intelligence (AI) easier and more natural for people to use. In this field, blending creativity with technical skills transforms AI interactions to feel more like talking to a human than a machine. Designers focus on making AI responses clear and relatable, using their knowledge of how language works. Their role is crucial in making advanced AI systems user-friendly, ensuring they fit smoothly into our daily lives. This article

Published: January 5, 2024
# AI / ML
# Speech Processing
# NLP
# LLM
Text preprocessing for NLP
Text Preprocessing for NLP and Machine Learning Tasks

As soon as you start working on a data science task you realize the dependence of your results on the data quality. The initial step — data preparation — of any data science project sets the basis for the effective performance of any sophisticated algorithm. In textual data science tasks, this means that any raw text needs to be carefully preprocessed before the algorithm can digest it. In the most general terms, we take some predetermined body of text and perform upon it some basic analysis and

Published: May 5, 2020
# NLP
NLP for Low-Resources Settings
NLP for Low-Resource Settings

Natural language processing (NLP) is a field of Artificial Intelligence that tries to establish human-like communication with computers. Although it can boast significant success, computers still struggle with comprehending many facets of language, such as pragmatics, that are difficult to characterize formally. Moreover, most of the success is achieved in popular languages like English or other languages that have text corpora of hundreds of millions of words. But we should understand that thes

Published: October 11, 2019
# AI / ML
# NLP
NLP vs NLU
NLP vs. NLU: from Understanding a Language to Its Processing

As artificial intelligence progresses and technology becomes more sophisticated, we expect existing concepts to embrace this change — or change themselves. Similarly, in the domain of computer-aided processing of natural languages, shall the concept of natural language processing give way to natural language understanding? Or is the relation between the two concepts subtler and more complicated than merely the linear progress of a technology? In this post, we’ll scrutinize the concepts of NLP an

Published: April 18, 2019
# AI / ML
# NLP
books
Top 10 Books on NLP and Text Analysis

When it comes to choosing the right book, you become immediately overwhelmed with the abundance of possibilities: should you choose a classic for a solid base or a fresh-from-the-oven book for the newest trends? What level to stick to? Will a beginner’s guide be too easy? In this review, we have collected our Top 10 NLP and Text Analysis Books of all time, ranging from beginners to experts. by Steven Bird, Ewan Klein and Edward Loper. It is so popular, that every top seems to have it listed. Wel

Published: December 20, 2018
# NLP
Technologies
SciForce: who we are

SciForce is a Ukraine-based IT company specializing in development of software solutions based on science-driven information technologies. We have wide-ranging expertise in many key AI technologies, including Data Mining, Digital Signal Processing, Natural Language Processing, Machine Learning, Image Processing, and Computer Vision. This focus allows us to offer state-of-the-art solutions in data science-related projects for commerce, banking and finance, healthcare, gaming, media and publishing

Published: January 9, 2018
# AI / ML
# Computer Vision
# Data Science
# DevOps
# Speech Processing
# NLP
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