IBM Journey to AI blog

JUNE 21, 2023

And this year, Wimbledon is tapping into the power of generative AI, producing new digital experiences on the Wimbledon app and website using IBM’s new trusted AI and data platform, watsonx.

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IBM Journey to AI blog

AUGUST 2, 2023

It utilizes natural language processing (NLP) to assist customer care and support employees with internal processes. Watson Assistant seamlessly connects to customer data platforms, enabling data-backed understandings of customer expectations.

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Conversational AI Chatbots Automation Natural Language Processing 189

IBM Journey to AI blog

AUGUST 17, 2023

This year, innovation at the US Open was facilitated and accelerated by watsonx , IBM’s new AI and data platform for the enterprise. . “We need to constantly innovate to anticipate fans’ needs and delight them with new experiences,” says Kirsten Corio, Chief Commercial Officer at the USTA.

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IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. With IBM® watsonx.ai ™ AI studio, developers can manage ML algorithms and processes with ease.

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IBM Journey to AI blog

JULY 27, 2023

Partners can now embed core AI technology like Watson Natural Language Processing (NLP) to make application experiences more intelligent, or Watson Discovery to infuse automation into core business workflows. In May, IBM launched watsonx , our enterprise-ready AI and data platform, and we made it generally available in July.

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AWS Machine Learning Blog

DECEMBER 5, 2024

You can also bring your own prompt dataset to customize the evaluation with your data, and compare results across evaluation jobs to make decisions faster. Previously, you had a choice between human-based model evaluation and automatic evaluation with exact string matching and other traditional natural language processing (NLP) metrics.

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IBM Journey to AI blog

SEPTEMBER 13, 2024

Over the past few years, Salesforce has made heavy investments in Data Cloud. Data Cloud works to unlock trapped data by ingesting and unifying data from across the business. These prompts trigger AI commands like record summarization, advanced analytics and recommended offers and actions.

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IBM Journey to AI blog

FEBRUARY 13, 2024

They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity. Learn more about harnessing the power of generative AI for your business by exploring IBM watsonx , the AI and data platform built for business.

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IBM Journey to AI blog

JANUARY 10, 2024

The traditional approach is well-suited for clearly defined problems with a limited number of possible outcomes, but it’s often impossible to write rules for every single scenario when tasks are complex or demand human-like perception (as in image recognition, natural language processing, etc.).

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Marktechpost

FEBRUARY 7, 2024

Their applications span a vast array of fields, including but not limited to sophisticated image recognition systems, advanced natural language processing, and the creation of nuanced multimodal interactions. LVLMs have revolutionized how machines interpret and understand the world, mirroring human-like perception.

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IBM Journey to AI blog

AUGUST 1, 2023

A foundation model is built on a neural network model architecture to process information much like the human brain does. IBM, foundation models and data stores To help organizations multiply the impact of AI across your business, IBM offers watsonx, our enterprise-ready AI and data platform.

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Marktechpost

OCTOBER 21, 2024

models are built to support diverse use cases in enterprise environments, ranging from natural language understanding to facilitating enhanced decision-making processes. Built on IBM’s watsonx AI and data platform, Granite 3.0 8B in Hugging Face’s OpenLLM Leaderboard (v2).

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John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Large language models (LLMs) are a class of foundational models (FM) that consist of layers of neural networks that have been trained on these massive amounts of unlabeled data. Large language models (LLMs) have taken the field of AI by storm. IBM watsonx consists of the following: IBM watsonx.ai

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IBM Journey to AI blog

JULY 17, 2023

This allows users to accomplish different Natural Language Processing (NLP) functional tasks and take advantage of IBM vetted pre-trained open-source foundation models. Encoder-decoder and decoder-only large language models are available in the Prompt Lab today. To bridge the tuning gap, watsonx.ai

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IBM Journey to AI blog

OCTOBER 20, 2023

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction.

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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

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Marktechpost

JANUARY 30, 2025

With the massive strides in natural language processing and generative intelligence in the past years, LLMs have been used to perform complex queries and summarization based on their language comprehension and exploration skill set.

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Marktechpost

JULY 17, 2023

A few automated and enhanced features for feature engineering, model selection and parameter tuning, natural language processing, and semantic analysis are noteworthy. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics.

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John Snow Labs

JANUARY 14, 2025

This is the result of a concentrated effort to deeply integrate its technology across a range of cloud and data platforms, making it easier for customers to adopt and leverage its technology in a private, safe, and scalable way.

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Pickl AI

OCTOBER 25, 2023

Machine Learning algorithms enable systems to learn and improve from data without being explicitly programmed. Natural Language Processing AI technologies, like Natural Language Processing (NLP), enable computers to understand, interpret, and generate human language.

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Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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Large Language Models Data Scientist Machine Learning Computer Vision 52

Pickl AI

JULY 10, 2023

R’s machine learning capabilities allow for model training, evaluation, and deployment. · Text Mining and Natural Language Processing (NLP): R offers packages such as tm, quanteda, and text2vec that facilitate text mining and NLP tasks.

Data Science 52

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John Snow Labs

AUGUST 7, 2024

Disease Diagnosis Generative AI enhances disease diagnosis by enhancing the accuracy and efficiency of interpreting data. Healthcare NLP (Natural Language Processing) technologies extract insights from physician records, patient histories and diagnostic reports facilitating precise diagnosis. This improves access to care.

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ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

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Pickl AI

DECEMBER 4, 2023

Implementing robust data validation processes. Clinical Research Acceleration Speeds up research processes and drug development Integrating diverse data sources. Implementing interoperable data platforms. Implementing transparent data privacy policies.

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Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

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Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

John Snow Labs

FEBRUARY 29, 2024

Disease Diagnosis Generative AI enhances disease diagnosis by enhancing the accuracy and efficiency of interpreting data. Healthcare NLP (Natural Language Processing) technologies extract insights from physician records, patient histories and diagnostic reports facilitating precise diagnosis. This improves access to care.

Generative AI 40

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Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Background: what is RedPajama? For these experiments, we use the RedPajama family of LLMs.

Categorization 40

Categorization ChatGPT Large Language Models Generative AI 40

Snorkel AI

FEBRUARY 13, 2023

In addition, we are also responsible for the Experimentation Platforms at Comcast and the products, the data platforms that kind of underlie all these AI and machine-learning applications, as well as our product analytics platforms that make it easier to train, develop, and manage models.

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Snorkel AI

FEBRUARY 13, 2023

In addition, we are also responsible for the Experimentation Platforms at Comcast and the products, the data platforms that kind of underlie all these AI and machine-learning applications, as well as our product analytics platforms that make it easier to train, develop, and manage models.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

Artificial Corner

JUNE 6, 2023

Cloud-based data storage solutions, such as Amazon S3 (Simple Storage Service) and Google Cloud Storage, provide highly durable and scalable repositories for storing large volumes of data. The integration of AI and ML into data engineering pipelines enables a wide range of applications.

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IBM Journey to AI blog

AUGUST 3, 2023

IBM Security® Discover and Classify (ISDC) is a data discovery and classification platform that delivers automated, near real-time discovery, network mapping and tracking of sensitive data at the enterprise level, across multi-platform environments.

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