AI News

NOVEMBER 30, 2023

AI workloads today fall into four categories: computer vision, NLP, recommendation engines, and generative AI. We’re at the forefront, actively advocating for greater efficiency in AI and beyond,” says Jakubiuk, who will be speaking at the upcoming AI & Big Data Expo Global event in London, 30 November – 1 December.

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IBM Journey to AI blog

NOVEMBER 13, 2023

High-performance computing Industries including government, science, finance and engineering rely heavily on high-performance computing (HPC) , the technology that processes big data to perform complex calculations. HPC uses powerful processors at extremely high speeds to make instantaneous data-driven decisions.

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ODSC - Open Data Science

APRIL 11, 2023

A lot goes into NLP. Languages, dialects, unstructured data, and unique business needs all contribute to requiring constant innovation from the field. Going beyond NLP platforms and skills alone, having expertise in novel processes, and staying afoot in the latest research are becoming pivotal for effective NLP implementation.

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AI Weekly

JANUARY 4, 2024

plos.org Shortcut Learning of LLMs in NLP The major characteristic of NLU tasks is they are difficult and typically require world knowledge and commonsense reasoning. Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies.

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ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. Hugging Face became a household name in the NLP community, thanks to its accessible libraries and pre-trained models.

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Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

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Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

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AWS Machine Learning Blog

MARCH 18, 2025

Intelligent insights and recommendations Using its large knowledge base and advanced natural language processing (NLP) capabilities, the LLM provides intelligent insights and recommendations based on the analyzed patient-physician interaction. These data sources provide contextual information and serve as a knowledge base for the LLM.

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Pickl AI

SEPTEMBER 12, 2024

Summary: This blog explores how Airbnb utilises Big Data and Machine Learning to provide world-class service. It covers data collection and analysis, enhancing user experience, improving safety, real-world applications, challenges, and future trends.

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NLP People

APRIL 10, 2019

It’s Institute of Computational Linguistics , which includes the Phonetics Laboratory , lead by Martin Volk and Volker Dellwo, as well as the URPP Language and Space perform research in NLP topics, such as machine translation, sentiment analysis, speech recognition and dialect detection. University of St. Gallen The University of St.

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Pickl AI

OCTOBER 25, 2023

How Big Data and AI Work Together: Synergies & Benefits: The growing landscape of technology has transformed the way we live our lives. of companies say they’re investing in Big Data and AI. Although we talk about AI and Big Data at the same length, there is an underlying difference between the two.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. With text to speech and NLP, AI can respond immediately to texted queries and instructions. Humanize HR AI can attract, develop and retain a skills-first workforce.

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John Snow Labs

SEPTEMBER 26, 2024

Traditional Natural Language Processing (NLP) has long relied on powerful Python libraries such as SpaCy and NLTK, which have proven effective for a wide range of text-processing tasks. Building on this foundation, we will then venture into the integration of Generative AI (GenAI) frameworks into these NLP pipelines.

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NLP People

APRIL 2, 2018

Are you looking to study or work in the field of NLP? For this series, NLP People will be taking a closer look at the NLP education landscape in different parts of the world, including the best sites for job-seekers and where you can go for the leading NLP-related education programs on offer.

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NLP People

JUNE 5, 2018

Are you looking to study or work in the field of NLP? For this series, NLP People will be taking a closer look at the NLP education & development landscape in different parts of the world, including the best sites for job-seekers and where you can go for the leading NLP-related education programs on offer.

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Becoming Human

JANUARY 23, 2023

Just like this in Data Science we have Data Analysis , Business Intelligence , Databases , Machine Learning , Deep Learning , Computer Vision , NLP Models , Data Architecture , Cloud & many things, and the combination of these technologies is called Data Science. Data Science and AI are related?

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Marktechpost

JULY 3, 2024

Netflix: Evolving Big Data Job Remediation Netflix has shifted from traditional rule-based classifiers to machine learning-powered auto-remediation systems for handling failed big data jobs. Picnic: Supporting Customer Requests Picnic has broken customer support language barriers using natural language processing (NLP).

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Unite.AI

MAY 2, 2024

Big data and predictive analytics In the realm of search capabilities, AI is revolutionizing big data and predictive analysis, offering crucial advancements: Extensive datasets, comprising social media content and public records, are harnessed to anticipate someone’s potential locations and behavioral patterns.

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ODSC - Open Data Science

AUGUST 3, 2023

ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for AI Harnessing Machine Learning on Big Data with PySpark on AWS In this brief tutorial, you’ll learn some basics on how to use Spark on AWS for machine learning, MLlib, and more.

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John Snow Labs

JUNE 15, 2023

Spark NLP offers a powerful Python library for scalable text analysis tasks, and its NGramGenerator annotator simplifies n-gram generation. Introduction Text analysis is a fundamental task in Natural Language Processing (NLP) that involves extracting meaningful insights from textual data. setInputCols(["token"]).setOutputCol("ngrams")

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AWS Machine Learning Blog

JANUARY 30, 2025

The team developed an innovative solution to streamline grant proposal review and evaluation by using the natural language processing (NLP) capabilities of Amazon Bedrock. Ben West is a hands-on builder with experience in machine learning, big data analytics, and full-stack software development.

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John Snow Labs

JUNE 1, 2023

The impact of Natural Language Processing in everyday life is hard to ignore as it is the main driver of emerging technologies like Robotics, Big Data, Internet of Things, etc. It enables machines to process massive amounts of data and make informed decisions. the clinical NLP system should be able to detect it.

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Flipboard

FEBRUARY 13, 2025

Big data can revolutionize research and quality improvement for cardiac ultrasound. Natural language processing (NLP) can help and includes both statistical- and large language model based techniques. Natural language processing (NLP) can help and includes both statistical- and large language model based techniques.

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AWS Machine Learning Blog

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise. You can find Pranav on LinkedIn.

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Unite.AI

FEBRUARY 19, 2024

Central to deep learning is the ML-based Neural Network algorithms, which have dramatically revolutionized the decision-making process at discrete data points on a quantum scale. It penetrates the big data—data input that is voluminous, scattered, and incomplete.

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Unite.AI

APRIL 16, 2024

Fortunately, advancements in data analytics and technology are transforming the way organizations approach compliance, offering solutions to streamline processes and ensure adherence to regulatory standards. One of the key drivers of this transformation is the utilization of big data analytics.

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ODSC - Open Data Science

MAY 24, 2023

Generative NLP Models in Customer Service: Evaluating Them, Challenges, and Lessons Learned in Banking Editor’s note: The authors are speakers for ODSC Europe this June. Be sure to check out their talk, “ Generative NLP models in customer service. How to evaluate them?

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Flipboard

NOVEMBER 17, 2023

Prior joining AWS, as a Data/Solution Architect he implemented many projects in Big Data domain, including several data lakes in Hadoop ecosystem. As a Data Engineer he was involved in applying AI/ML to fraud detection and office automation. They are available in a variety of sizes and configurations.

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AWS Machine Learning Blog

FEBRUARY 18, 2025

About the Author Carlos Contreras is a Senior Big Data and Generative AI Architect, at Amazon Web Services. Carlos specializes in designing and developing scalable prototypes for customers, to solve their most complex business challenges, implementing RAG and Agentic solutions with Distributed Data Processing techniques.

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Mlearning.ai

MAY 5, 2023

In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI. NLP researchers focused on developing statistical models that could process and generate text based on patterns and probabilities, rather than strict rules. I think GPT-3 is as intelligent as a human.

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ODSC - Open Data Science

DECEMBER 19, 2023

Data Engineer Data engineers are responsible for the end-to-end process of collecting, storing, and processing data. They use their knowledge of data warehousing, data lakes, and big data technologies to build and maintain data pipelines. NLP engineers with a Ph.D.

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Becoming Human

MAY 11, 2023

Empowering Startups and Entrepreneurs | InvestBegin.com | investbegin The success of ChatGPT can be attributed to several key factors, including advancements in machine learning, natural language processing, and big data. NLP is a field of AI that focuses on enabling computers to understand and process human language.

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Flipboard

OCTOBER 25, 2023

AWS AI services are designed to extract metadata from different types of unstructured data. The following are the most commonly used services for unstructured data processing: Amazon Comprehend – This natural language processing (NLP) service uses ML to extract metadata from text data.

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IBM Journey to AI blog

OCTOBER 16, 2023

Voice-based queries use Natural Language Processing (NLP) and sentiment analysis for speech recognition. ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. Google Translate uses NLP to translate words across more than 130 languages.

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AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. He helps customers implement big data and analytics solutions.

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IBM Journey to AI blog

JULY 11, 2023

AI technologies like natural language processing (NLP), predictive analytics and speech recognition can lead to healthcare providers having more effective communication with patients, which can lead to better patient experience, care and outcomes. AI also detects and tracks infectious diseases, such as COVID-19, tuberculosis and malaria.

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IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Built on deep learning, machine learning and NLP models, Watson Assistant enables accurate information extraction, delivers granular insights from documents and boosts the accuracy of responses.

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