IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

Machine Learning 186

Machine Learning Metadata Automation AI 186

Lexalytics

OCTOBER 6, 2021

Tokenization is an interesting part of text analytics and NLP. Of course, like all text analytics, lemmatization is still a game of numbers; it simply doesn’t work every time. A Game of Numbers Tokenization and its related processes play a role in making text analytics better than crude heuristics.

NLP 98

NLP Text Analytics AI AI 98

Marktechpost

APRIL 14, 2024

Both platforms harness the power of AI to provide deep insights and make data-driven decisions more accessible. It boasts user-friendly interfaces that are particularly accessible for users familiar with Excel and integrates well with Azure for advanced AI capabilities.

Business Intelligence 103

Business Intelligence Text Analytics AI AI 103

Lexalytics

JULY 12, 2023

We’ve weathered the Great Recession and witnessed the rise of smartphones and social media, the emergence of cloud computing, the boom of ecommerce, and the magic of AI – and we’ve humbly played an active role in the way many businesses have navigated and benefited from these technological advancements throughout the years.

NLP 98

NLP Text Analytics Natural Language Processing BERT 98

SAS Software

MARCH 6, 2023

Editor's note: This article follows Curious about ChatGPT: Exploring the origins of generative AI and natural language processing. The post Curious about ChatGPT: Exploring the use of AI in Education appeared first on SAS Blogs. Educators worry about cheating and rightly so. ChatGPT can do everything [.]

Natural Language Processing 111

Natural Language Processing ChatGPT Generative AI AI 111

Flipboard

MARCH 22, 2023

Using these basics of prompt engineering, you can get the most out of generative AI.

Generative AI 123

Generative AI Prompt Engineering Prompt Engineer ChatGPT 123

Ehud Reiter

APRIL 22, 2024

I see a lot of claims that generative AI is super-fantastic and will “change everything”; I also see claims that generative AI is either useless or disastrous. Biggest use of LLMs is helping to write text The first point is simply that the biggest use of generative AI in journalism is NLG, ie helping to write texts.

Generative AI 126

Generative AI Prompt Engineer Prompt Engineering LLM 126

Flipboard

MARCH 28, 2023

Generated by the new Modelscope text-to-video, an algorithmically-generated Will Smith shovels down a bizarro pasta meal. In recent months, advancements in AI-generated media are everywhere: generated “photos” of historical events that never happened, voices that mimic humans closely enough to break …

Algorithm 123

Algorithm AI AI Text Analytics 123

IBM Journey to AI blog

AUGUST 28, 2023

What is text mining? Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

SAS Software

FEBRUARY 12, 2023

The post Curious about ChatGPT: Exploring the origins of generative AI and natural language processing appeared first on SAS Blogs. Join us as we explore some of the key innovations over the past 50 years that help inform us about how to respond and what the future might hold.

Natural Language Processing 98

Natural Language Processing Generative AI ChatGPT Chatbots 98

Lexalytics

JULY 20, 2021

But you don’t read perfectly, so why should your AI? Let’s explore when “good” is good enough for AI. You don’t read perfectly, so why should your AI? We have high expectations of AI. What does “good enough for AI” mean? At Lexalytics, an InMoment company, we work with text analytics.

Text Analytics 52

Text Analytics Big Data AI AI 52

ODSC - Open Data Science

MAY 9, 2024

With 2024 surging along, the world of AI and the landscape being created by large language models continues to evolve in a dynamic manner. This is introducing an array of powerful new tools that are shaping the way multitudes of professionals in a diverse range of industries are working with AI. Well, then check out Cosmopedia.

AI Tools 52

AI Tools Large Language Models Machine Learning Data Science 52

Flipboard

MARCH 26, 2023

Runway, an artificial intelligence (AI) platform, has recently released its latest software, Gen-2, which can create full videos from text …

Artificial Intelligence 123

Artificial Intelligence Artificial Intelligence Text Analytics AI 123

Chatbots Life

MARCH 16, 2023

Text analytics Text analytics is another data collection method that has gained popularity over the last few years due to advances in machine learning algorithms and extensive data processing capabilities. They’ll provide refined training data that you’ll use to train your AI platform.

Machine Learning 52

Machine Learning Text Analytics Natural Language Processing Business Intelligence 52

Marktechpost

JULY 17, 2023

AI picks up knowledge by acquiring it, then applies it to new judgments. By teaching computers to reply just as well as—or better than—humans, artificial intelligence (AI) aims to identify the best answer. It also has prescriptive analytics capabilities, making it an effective tool for creating future business roadmaps.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

ODSC - Open Data Science

OCTOBER 23, 2023

As large language models, generative AI, and prompt engineering have all taken center stage in the AI domain, the interests, demands, and skills required to forge ahead with one’s career have also changed. Any reputable AI conference — ODSC included — shouldn’t stick to just what’s been done before.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Data Science 52

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Rory McManus Originally published on Towards AI. Cloud Computing, Natural Language Processing Azure Cognitive Services Text Analytics is a great tool you can use to quickly evaluate a text data set for positive or negative sentiment. Published via Towards AI

Text Analytics 40

Text Analytics Natural Language Processing Algorithm Artificial Intelligence 40

LevelAI

FEBRUARY 5, 2024

It all comes down to the type of AI that’s being used. Text Analytics: Spotting occurrences of words This approach matches pre-defined keywords or sequences of words to text excerpts within call transcripts. require a more complex AI solution to answer. How may I help you.”

Automation 52

Automation Text Analytics Natural Language Processing Generative AI 52

Lexalytics

SEPTEMBER 9, 2021

For nearly two decades, Lexalytics has been a pioneer in structured and unstructured data analytics, translating text into profitable decisions with our natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) solutions for the world’s most customer-centric brands.

Natural Language Processing 52

Natural Language Processing Machine Learning Text Analytics NLP 52

Marktechpost

DECEMBER 2, 2024

Researchers from the University Libraries at Virginia Tech Blacksburg have proposed an innovative approach to SDG research identification using an AI evaluation agent. Using data science and big data text analytics, the researchers aim to process scholarly bibliographic data with a nuanced understanding of language and context.

Large Language Models 44

Large Language Models Categorization Text Analytics Big Data 44

SAS Software

MAY 1, 2024

The post Five steps to improve information extraction using trustworthy generative AI appeared first on SAS Blogs. SAS' Federica Citterio answers the perennial data science question: "How can I trust (generative) LLM to provide a reliable, non-hallucinated result?"

Generative AI 59

Generative AI Data Science LLM AI 59

ODSC - Open Data Science

SEPTEMBER 19, 2024

The Rise of Deepfakes and Automated Prompt Engineering: Navigating the Future of AI In this podcast recap with Dr. Julie Wall of the University of West London, we discuss two big topics in generative AI: deepfakes and automated prompted engineering. How can big data analytics help? And LPUs Are Faster Too. Here’s Why.

Prompt Engineering 40

Prompt Engineering Prompt Engineer AI Automation Automation 40

LevelAI

NOVEMBER 6, 2023

Existing text analytics tools work with NPS and CSAT survey feedback but are limited to extracting keywords and rudimentary sentiment detection. The AI crawls through all of your contact center conversations, generating key customer “concerns” for each of them. (A In the meantime, customer experience issues rage on unmitigated.

Generative AI 52

Generative AI Categorization Large Language Models Text Analytics 52

LevelAI

FEBRUARY 5, 2024

Organizations can delve deeper by utilizing sophisticated text analytics tools, identifying recurring themes, trends, and even specific language patterns within interactions. In this digital age, however, a transformative shift is underway: the rise of generative AI for customer insight extraction.

Text Analytics 52

Text Analytics Natural Language Processing Generative AI Machine Learning 52

SAS Software

DECEMBER 17, 2024

SAS' Mary Osborne, Ali Dixon Ricke, and Franklin Manchester break down what insurers still need to learn about generative AI. The post 10 things insurance leaders need to know about generative AI and LLMs appeared first on SAS Blogs.

Generative AI 52

Generative AI AI AI Natural Language Processing 52

Bitext

SEPTEMBER 17, 2021

Recapping, the main limitation of Machine Learning for text analytics is that it is “blind” to text structure. And text structure is essential for moving towards text understanding. The post Why Linguistics for Text Analysis? We help AI understand humans. appeared first on Bitext.

Machine Learning 52

Machine Learning Text Analytics Big Data Chatbots 52

Lexalytics

JUNE 11, 2021

That’s where AI, ML, and NLP come in. Companies can use AI-supported platforms like Semantria to examine what patients are saying about their pharma and pharma-related experiences across various contexts: anything from patient surveys to customer care calls to Tweets. Learn more about how AI and NLP can assist with pharma matters.

NLP 52

NLP Text Analytics ML AI 52

ODSC - Open Data Science

FEBRUARY 17, 2023

Five Ways to Safely Use Generative AI From workers using chatbots as research assistants to creating art through image generators and more, here are a few ways that you can safely use generative AI. Revolution of AI: Will ChatGPT Replace Search Engines in 2023? Revolution of AI: Will ChatGPT Replace Search Engines in 2023?

ML 52

ML ChatGPT Data Science Machine Learning 52

NLP People

DECEMBER 8, 2017

The Unit for Natural Language Processing National University of Ireland, Galway The Insight Centre for Data Analytics, Europe’s largest research centre in data science, has a group in Natural Language Processing (UNLP) at the National University of Ireland Galway.

NLP 52

NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 52

SAS Software

MARCH 11, 2024

SAS' Julia Moreno shows you how to use generative AI to build a digital assistant that interacts with a model using natural language conversation. The post LLM-based digital assistant for SAS Optimization appeared first on SAS Blogs.

LLM 76

LLM Generative AI Text Analytics Large Language Models 76

AWS Machine Learning Blog

DECEMBER 13, 2024

About the Authors Bikramjeet Singh is a Applied Scientist at AWS Sales Insights, Analytics and Data Science (SIADS) Team, responsible for building GenAI platform and AI/ML Infrastructure solutions for ML scientists within SIADS. Prior to working as an AS, Bikram worked as a Software Development Engineer within SIADS and Alexa AI.

ML 82

ML Algorithm Automation Python 82

ODSC - Open Data Science

MAY 24, 2023

About the authors: Clara Higuera Cabañes, PhD is a senior data scientist at BBVA AI Factory. She currently leads the collections data science team at BBVA AI factory. She has worked in several analytical domains, ranging from Retail and Urban Analysis to Customer Intelligence.

NLP 52

NLP Neural Network Natural Language Processing Data Science 52

SAS Software

MARCH 21, 2023

SAS' Ali Dixon and Mary Osborne reveal why a BERT-based classifier is now part of our natural language processing capabilities of SAS Viya. The post How natural language processing transformers can provide BERT-based sentiment classification on March Madness appeared first on SAS Blogs.

Natural Language Processing 98

Natural Language Processing BERT Text Analytics Large Language Models 98

Pickl AI

MARCH 31, 2025

Mastering these functions helps with text analytics, reporting, and automation. Learning them through courses like Pickl.AIs data science programs can improve job prospects in data analytics and engineering. Why should I learn SQL string functions?

Data Science 52

Data Science Text Analytics Automation 52

Kavita Ganesan

AUGUST 25, 2022

More importantly, when you combine sentiment analysis with other AI-driven technologies such as text summarization, you can get deeper, more powerful insights. GAIL Great Wolf Lodge (GWL), a chain of resorts and indoor water parks, has expanded its broad digital strategy by using AI to classify customer comments based on sentiment.

NLP 52

NLP Text Analytics Artificial Intelligence Artificial Intelligence 52

NLP People

APRIL 10, 2019

Switzerland is no exception: with its unique linguistique diversity, its central location within Europe and as host to some of the world’s best universities and top AI companies, the country offers an ideal environment for the field to thrive. Google Zurich employs specialists in fields such as NLP, Linguistics, machine learning and AI.

NLP 52

NLP Computational Linguistics Natural Language Processing Data Mining 52

NLP People

MAY 18, 2018

DFKI LT lab conducts advanced research in language technology and develops novel solutions related to information and knowledge management, content production, speech and text processing. Key areas of their activity include text analytics, machine translation, human-robot interaction , and digital content creation.

NLP 52

NLP Computational Linguistics Data Mining Natural Language Processing 52