Unite.AI

FEBRUARY 21, 2025

While traditional PIM systems are effective for centralizing and managing product information, many solutions struggle to support complex omnichannel strategies, dynamic data, and integrations with other eCommerce or data platforms, meaning that the PIM just becomes another data silo.

Natural Language Processing 146

Natural Language Processing NLP Categorization Algorithm 146

IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences. What is machine learning?

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Unite.AI

JANUARY 20, 2025

Noah Nasser is the CEO of datma (formerly Omics Data Automation), a leading provider of federated Real-World Data platforms and related tools for analysis and visualization. Can you explain how datma.FED utilizes AI to revolutionize healthcare data sharing and analysis? Cell-size restrictions prevent re-identification.

Automation 130

Automation Data Platform Data Quality Explainability 130

IBM Journey to AI blog

JANUARY 10, 2024

AI operates on three fundamental components: data, algorithms and computing power. Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. What is artificial intelligence and how does it work?

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Flipboard

DECEMBER 27, 2024

To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy.

ESG 147

ESG Artificial Intelligence Artificial Intelligence Big Data 147

AWS Machine Learning Blog

MARCH 10, 2025

This system offers several key features: Advanced seed recommendation and placement Uses predictive machine learning algorithms to deliver personalized seed recommendations tailored to each growers unique environment. This experience was instrumental in her professional growth.

Automation 118

Automation Generative AI Machine Learning Large Language Models 118

IBM Journey to AI blog

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. Many functions of data analytics—such as making predictions—are built on machine learning algorithms and models that are developed by data scientists.

Data Science 236

Data Science Data Scientist Machine Learning Data Mining 236

IBM Journey to AI blog

APRIL 15, 2024

This holistic view empowers businesses to make data-driven decisions, optimize processes and gain a competitive edge. With the rise of generative AI chatbots, foundation models now use this rich data set. Design considerations for virtualized data platforms 1.

Data Platform 204

Data Platform Data Mining AI AI 204

IBM Journey to AI blog

AUGUST 13, 2024

In the following two decades, IBM continued to advance AI with research into machine learning, algorithms, NLP and image processing. Watson is Gen AI for Gen Z IBM has applied its more than 70 years of AI research, investment and experimentation to the enterprise with watsonx , its AI and data platform unveiled in May 2023.

Machine Learning 291

Machine Learning Neural Network Robotics Natural Language Processing 291

IBM Journey to AI blog

SEPTEMBER 28, 2023

An AI and data platform, such as watsonx, can help empower businesses to leverage foundation models and accelerate the pace of generative AI adoption across their organization. The synthetic data generator service in watsonx.ai

Generative AI 248

Generative AI Large Language Models AI AI 248

IBM Journey to AI blog

OCTOBER 3, 2023

To identify and distill the insights locked inside this sea of data, ESPN and IBM tapped into the power of watsonx—IBM’s new AI and data platform for business—to build AI models that understand the language of football. Not anymore. “An active league is a fun league,” says Jason.

AI Modeling 259

AI Modeling Neural Network Natural Language Processing AI 259

AI News

JULY 26, 2023

The problem is the rise of privacy concerns, changes in data regulations and original equipment manufacturers (OEM) lockdowns have made available audiences and insights much more challenging to find. Unlike traditional rules-based or deterministic approaches (i.e.

Data Platform 234

Data Platform Algorithm AI AI 234

IBM Journey to AI blog

DECEMBER 5, 2023

Foremost among these is IBM® watsonx™, our cloud-native AI and data platform, which offers design control and flexibility. Looking ahead, a retailer might use watsonx.data to help tap into large amounts of disparate, unstructured customer data and build models in watsonx.ai

Generative AI 242

Generative AI Automation AI AI 242

IBM Journey to AI blog

AUGUST 2, 2023

However, tasks like these often felt more algorithmic or methodical. Watson Assistant seamlessly connects to customer data platforms, enabling data-backed understandings of customer expectations. A key skill of IT support is having the ability to problem-solve creatively.

Conversational AI 189

Conversational AI Chatbots Automation Natural Language Processing 189

AWS Machine Learning Blog

DECEMBER 5, 2024

Automated Reasoning checks help prevent factual errors from hallucinations using sound mathematical, logic-based algorithmic verification and reasoning processes to verify the information generated by a model, so outputs align with provided facts and arent based on hallucinated or inconsistent data.

Responsible AI 108

Responsible AI AI Tools AI AI 108

IBM Journey to AI blog

SEPTEMBER 27, 2023

An open source LLM offers transparency regarding how it works, its architecture and training data and methodologies, and how it’s used. Being able to inspect code and having visibility into algorithms allows an enterprise more trust, assists regarding audits and helps ensure ethical and legal compliance.

Large Language Models 289

Large Language Models LLM Explainability Chatbots 289

AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section.

Convolutional Neural Networks 128

Convolutional Neural Networks Algorithm Neural Network Data Science 128

IBM Journey to AI blog

FEBRUARY 13, 2024

Like diligent students, these generative models soak up information and identify patterns, structures and relationships between data points, which is how they learn the grammar of poetry, artistic brushstrokes and musical melodies. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Generative AI 343

Generative AI AI AI Chatbots 343

IBM Journey to AI blog

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

Neural Network 256

Neural Network LLM Algorithm NLP 256

ODSC - Open Data Science

MARCH 12, 2025

The Decline of Traditional MachineLearning 20182020: Algorithms like random forests, SVMs, and gradient boosting were frequent discussion points. Today, data engineering is a major focal point, with organizations investing in robust ETL (Extract, Transform, Load) pipelines, real-time streaming solutions, and cloud-based data platforms.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

Aiiot Talk

MARCH 13, 2024

While you don’t necessarily need an algorithm of your own to defend against them, it makes the process much easier. “[T]he T]he majority of businesses use at least five separate data platforms.” Simplifies Security Management Too many workplaces overcomplicate security.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Data Platform Robotics 130

Pickl AI

FEBRUARY 23, 2025

Introduction to Big Data Tools In todays data-driven world, organisations are inundated with vast amounts of information generated from various sources, including social media, IoT devices, transactions, and more. Big Data tools are essential for effectively managing and analysing this wealth of information. Use Cases : Yahoo!

Big Data 52

Big Data Machine Learning Business Intelligence Algorithm 52

IBM Journey to AI blog

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. While traditional AI approaches provide customers with quick service, they have their limitations. Watsonx.ai

Generative AI 171

Generative AI Auto-complete Automation AI 171

IBM Journey to AI blog

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions. The platform comprises three powerful products: The watsonx.ai

Generative AI 176

Generative AI Data Scientist BERT Machine Learning 176

AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. Deep/neural network algorithms also perform very well on sparse data set and in cold-start (new item introduction) scenarios.

Neural Network 96

Neural Network Convolutional Neural Networks Metadata Data Scientist 96

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

Large Language Models 238

Large Language Models DevOps Data Science AI Modeling 238

Unite.AI

OCTOBER 23, 2024

Given that the number of characters is limited for SMS, we started thinking about text messages as a mathematical problem that has some finite number of alternative messages, and with the right algorithm we could find the optimal ones. Persado’s Motivation AI Platform is highlighted for its ability to personalize marketing content.

Machine Learning 146

Machine Learning Continuous Learning Generative AI Algorithm 146

IBM Journey to AI blog

JUNE 23, 2023

It’s critical to ensure that the data used to train these models is unbiased and representative, and that the algorithms used do not perpetuate or amplify existing biases. Consider the ethical implications.

Generative AI 189

Generative AI AI AI Data Analysis 189

AWS Machine Learning Blog

DECEMBER 20, 2023

SageMaker supports two built-in anomaly detection algorithms: IP Insights and Random Cut Forest. You can also use SageMaker to create your own custom outlier detection model using algorithms sourced from multiple ML frameworks. Normalize the Amazon Security Lake VPC flow log data into the required training format for IP Insights.

ML 132

ML Algorithm Machine Learning Automation 132

Marktechpost

JULY 17, 2023

It relates to employing algorithms to find and examine data patterns to forecast future events. Through practice, machines pick up information or skills (or data). Algorithms and models Predictive analytics uses several methods from fields like machine learning, data mining, statistics, analysis, and modeling.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

IBM Journey to AI blog

OCTOBER 20, 2023

Get to know IBM watsonX IBM watsonx is an AI and data platform with a set of AI assistants designed to help you scale and accelerate the impact of AI with trusted data across your business. This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency.

Machine Learning 225

Machine Learning Automation AI AI 225

The MLOps Blog

MAY 31, 2023

The ML platform can utilize historic customer engagement data, also called “clickstream data”, and transform it into features essential for the success of the search platform. We can collect and use user-product historical interaction data to train recommendation system algorithms.

ML 59

ML Data Drift Algorithm Machine Learning 59

AWS Machine Learning Blog

FEBRUARY 13, 2024

The BigBasket team was running open source, in-house ML algorithms for computer vision object recognition to power AI-enabled checkout at their Fresho (physical) stores. Augmenting the training data using techniques like cropping, rotating, and flipping images helped improve the model training data and model accuracy.

Computer Vision 130

Computer Vision Convolutional Neural Networks ML AI 130

AWS Machine Learning Blog

MARCH 29, 2023

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models, and pre-built solution templates to help data scientists and ML practitioners get started on training and deploying ML models quickly. Setting up and managing custom ML environments can be time-consuming and cumbersome.

ML 97

ML Machine Learning Algorithm Data Scientist 97

TheSequence

JULY 5, 2023

By leveraging advanced algorithms, it autonomously detects and alerts users about any deviations from expected data patterns. The Architecture The D3 architecture comprises several core systems managed by Uber's Data Platform, which play a crucial role in maintaining data quality.

Data Drift 52

Data Drift Data Quality Metadata Data Platform 52

DataRobot Blog

MARCH 16, 2023

Why model-driven AI falls short of delivering value Teams that just focus model performance using model-centric and data-centric ML risk missing the big picture business context. This narrow focus can lead to accurate and true insights that are not really useful, leaving business stakeholders feeling frustrated.

DevOps 98

DevOps AI AI Neural Network 98

AWS Machine Learning Blog

DECEMBER 18, 2023

MongoDB’s robust time series data management allows for the storage and retrieval of large volumes of time-series data in real-time, while advanced machine learning algorithms and predictive capabilities provide accurate and dynamic forecasting models with SageMaker Canvas.

Data Extraction 120

Data Extraction Data Ingestion ML Machine Learning 120