ODSC - Open Data Science

NOVEMBER 29, 2024

Artificial Intelligence (AI) stands at the forefront of transforming data governance strategies, offering innovative solutions that enhance data integrity and security. In this post, let’s understand the growing role of AI in data governance, making it more dynamic, efficient, and secure.

Data Integration 40

Data Integration Automation Machine Learning AI 40

Unite.AI

FEBRUARY 20, 2025

The tool is not just about automating tasks; its purpose is to help researchers generate insights that would take human teams months or even years to formulate. By processing this vast amount of data, the tool not only saves time but also ensures that its outputs are grounded in evidence-based research.

Machine Learning 124

Machine Learning AI AI Natural Language Processing 124

Flipboard

DECEMBER 3, 2024

As a global leader in agriculture, Syngenta has led the charge in using data science and machine learning (ML) to elevate customer experiences with an unwavering commitment to innovation. From the initial ingestion of documents to their final storage, Step Functions makes sure that data handling is seamless and efficient.

Generative AI 149

Generative AI Metadata Machine Learning Natural Language Processing 149

AWS Machine Learning Blog

AUGUST 7, 2024

Innovations in artificial intelligence (AI) and machine learning (ML) are causing organizations to take a fresh look at the possibilities these technologies can offer. Automating these checks allows them to be repeated regularly and consistently rather than organizations having to rely on infrequent manual point- in-time checks.

Automation 111

Automation Machine Learning ML Explainability 111

Marktechpost

APRIL 24, 2024

Automation in modern industries often involves repetitive tasks, but the challenge arises when tasks require flexibility and spontaneous decision-making. Traditional robotic process automation (RPA) systems are designed for static, routine activities, falling short when unpredictability is introduced. Researchers at J.P.

Machine Learning 139

Machine Learning AI Researcher AI Research Large Language Models 139

Unite.AI

DECEMBER 27, 2024

They mitigate issues like overfitting and enhance the transferability of insights to unseen data, ultimately producing results that align closely with user expectations. This emphasis on data quality has profound implications. Data validation frameworks play a crucial role in maintaining dataset integrity over time.

Data Quality 130

Data Quality Data Drift Explainability Big Data 130

IBM Journey to AI blog

JUNE 27, 2024

This requires traditional capabilities like encryption, anonymization and tokenization, but also creating capabilities to automatically classify data (sensitivity, taxonomy alignment) by using machine learning.

Generative AI 305

Generative AI Data Ingestion Large Language Models Data Discovery 305

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

Data Integration 98

Data Integration ML ESG Big Data 98

AWS Machine Learning Blog

MARCH 18, 2025

Extraction of relevant data points for electronic health records (EHRs) and clinical trial databases. Data integration and reporting The extracted insights and recommendations are integrated into the relevant clinical trial management systems, EHRs, and reporting mechanisms.

LLM 101

LLM NLP Data Integration AI 101

Unite.AI

MAY 30, 2024

Additionally, they are equipped with pre-built algorithms and modules, such as data connectors, APIs, and machine learning models. Examples include Microsoft Power Automate and OutSystems. offers both low-code and no-code options for building machine learning models, particularly noted for its AutoML capabilities.

AI Developer 221

AI Developer AI Development AI Tools AI 221

IBM Journey to AI blog

JUNE 28, 2024

In addition to these capabilities, generative AI can revolutionize drive tests, optimize network resource allocation, automate fault detection, optimize truck rolls and enhance customer experience through personalized services. This aids in better data integration and utilization in the upper layers.

Generative AI 216

Generative AI Automation Large Language Models AI 216

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 225

Machine Learning Automation AI AI 225

Unite.AI

JUNE 17, 2024

Pascal Bornet is a pioneer in Intelligent Automation (IA) and the author of the best-seller book “ Intelligent Automation.” He is regularly ranked as one of the top 10 global experts in Artificial Intelligence and Automation. It's true that the specter of job losses due to AI automation is a real fear for many.

Automation 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147

Unite.AI

JANUARY 22, 2025

Saket Saurabh , CEO and Co-Founder of Nexla, is an entrepreneur with a deep passion for data and infrastructure. He is leading the development of a next-generation, automated data engineering platform designed to bring scale and velocity to those working with data.

Auto-complete 147

Auto-complete Automation Machine Learning Data Integration 147

IBM Journey to AI blog

JUNE 29, 2023

Data integration and analytics IBP relies on the integration of data from different sources and systems. This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources.

Data Integration 237

Data Integration Business Intelligence ETL Automation 237

Unite.AI

SEPTEMBER 21, 2023

AI's real-time data analysis and decision-making capabilities expand blockchain’s authenticity, augmentation, and automation capabilities. For instance, Optimizing automation of supply chain processes by embedding AI in smart contracts. Addressing the challenges of AI ethics by ensuring the authenticity of data.

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Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

IBM Journey to AI blog

NOVEMBER 14, 2023

Serve: Data products are discoverable and consumed as services, typically via a platform. Serve : Build cloud services for data products through automation and platform service technology so they can be operated securely at global scale. Doing so can increase the quality of data integrated into data products.

ESG 315

ESG Generative AI AI AI 315

AWS Machine Learning Blog

MAY 1, 2024

This post demonstrates how to build a chatbot using Amazon Bedrock including Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock , within an automated solution. Solution overview In this post, we use publicly available data, encompassing both unstructured and structured formats, to showcase our entirely automated chatbot system.

Chatbots 119

Chatbots Automation Machine Learning DevOps 119

IBM Journey to AI blog

JANUARY 15, 2024

Digital transformation trends that drive a competitive advantage Trend: Artificial intelligence and machine learning We’re entering year two of widespread adoption of generative AI tools. But organizations still need humans to decide what actions to take based on what the ML-analyzed data shows.

Machine Learning 219

Machine Learning Automation DevOps Artificial Intelligence 219

Flipboard

FEBRUARY 11, 2025

In this post, we propose an end-to-end solution using Amazon Q Business to address similar enterprise data challenges, showcasing how it can streamline operations and enhance customer service across various industries. The Process Data Lambda function redacts sensitive data through Amazon Comprehend.

Data Ingestion 155

Data Ingestion Metadata Machine Learning Generative AI 155

Unite.AI

MAY 23, 2024

The pitch for AI solutions to be utilized in a myriad of different ways, from machine learning tools that bolster customer service to better personalization and product recommendation engines for customers to logistics and supply chain optimization tools, is a strong one.

Machine Learning 269

Machine Learning AI AI AI Engineer 269

Unite.AI

JANUARY 29, 2025

Dr. Sood is interested in Artificial Intelligence (AI), cloud security, malware automation and analysis, application security, and secure software design. This exposure naturally led me to delve deeper into cybersecurity, where I recognized the critical importance of safeguarding data and networks in an increasingly interconnected world.

AI Strategy 130

AI Strategy Automation AI AI 130

Marktechpost

JUNE 13, 2024

Data scientists often spend up to 80% of their time on data engineering in data science projects. Objective of Data Engineering: The main goal is to transform raw data into structured data suitable for downstream tasks such as machine learning.

ETL 128

ETL Machine Learning Data Ingestion Big Data 128

NVIDIA

FEBRUARY 28, 2025

Accelerated AI-Powered Cybersecurity Modern cybersecurity relies heavily on AI for predictive analytics and automated threat mitigation. They offer: Faster AI model training : GPUs reduce the time required to train machine learning models for tasks like fraud detection or phishing prevention.

Algorithm 91

Algorithm Automation AI AI 91

IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

AWS Machine Learning Blog

OCTOBER 23, 2024

SnapLogic , a leader in generative integration and automation, has introduced the industry’s first low-code generative AI development platform, Agent Creator , designed to democratize AI capabilities across all organizational levels. This post is cowritten with Greg Benson, Aaron Kesler and David Dellsperger from SnapLogic.

Generative AI 73

Generative AI IDP LLM Automation 73

Unite.AI

AUGUST 28, 2024

Furthermore, while machine learning (ML) algorithms can offer personalized treatment recommendations, the lack of transparency in these algorithms complicates individual accountability. Investing in modern data integration tools, such as Astera and Fivetran , with built-in data quality features will also help.

Data Quality 317

Data Quality Algorithm AI AI 317

IBM Journey to AI blog

DECEMBER 4, 2023

Generative AI could also help maintenance, repair and overhaul (MRO) technicians by enabling them to retrieve relevant information more effectively for repairs, or by automating the creation of parts and equipment orders so repair or maintenance can start as soon as a plane lands.

Generative AI 213

Generative AI AI AI Automation 213

IBM Journey to AI blog

NOVEMBER 10, 2023

Ring 3 uses the capabilities of Ring 1 and Ring 2, including the data integration capabilities of the platform for terminology standardization and person matching. The introduction of Generative AI offers to take this solution pattern a notch further, particularly with its ability to better handle unstructured data.

Natural Language Processing 295

Natural Language Processing AI AI Data Platform 295

IBM Journey to AI blog

AUGUST 4, 2023

Data within a data fabric is defined using metadata and may be stored in a data lake, a low-cost storage environment that houses large stores of structured, semi-structured and unstructured data for business analytics, machine learning and other broad applications. Security Data security is a high priority.

Machine Learning 183

Machine Learning Metadata Automation AI 183

ODSC - Open Data Science

JUNE 6, 2023

Be sure to check out their talk, “ Getting Up to Speed on Real-Time Machine Learning ,” there! The benefits of real-time machine learning are becoming increasingly apparent. This is due to a deep disconnect between data engineering and data science practices.

Machine Learning 90

Machine Learning ML Engineer Neural Network Data Science 90

Aiiot Talk

JANUARY 17, 2024

Machine learning may uncover a spike in specific respiratory ailments, allowing biopharmaceuticals to prioritize them as the most pressing concerns. “In It optimizes processes by reducing human error and automating repetitive manual tasks like scanning data, which reveals patterns in test samples for more high-value adjustments.

Data Integration 148

Data Integration Robotics Machine Learning Computer Vision 148

AWS Machine Learning Blog

MARCH 17, 2025

Healthcare agents can integrate LLM models and call external functions or APIs through a series of steps: natural language input processing , self-correction, chain of thought, function or API calling through an integration layer, data integration and processing, and persona adoption.

LLM 96

LLM Natural Language Processing ML Computer Vision 96

AWS Machine Learning Blog

APRIL 3, 2025

Data is one of the most critical assets of many organizations. OMRON Corporation is a leading technology provider in industrial automation, healthcare, and electronic components. Different formats and standards Systems typically use varied data formats and structures.

Generative AI 71

Generative AI Artificial Intelligence Artificial Intelligence Machine Learning 71

IBM Journey to AI blog

DECEMBER 11, 2023

Kubernetes , Docker Swarm ) to automate the deployment of apps across all clouds. This centralized management system makes implementing security measures like encryption , automation, access control and endpoint data security easier. This redundancy prevents data loss if one of the backups is comprised.

DevOps 308

DevOps Automation Generative AI Big Data 308

Unite.AI

SEPTEMBER 24, 2024

The company offers a comprehensive suite of tools designed to optimize various aspects of supply chain operations, from demand forecasting and inventory management to transportation and warehouse automation. At the core of Blue Yonder's offerings is its innovative approach to supply chain planning.

AI Tools 162

AI Tools Natural Language Processing Machine Learning Artificial Intelligence 162

AWS Machine Learning Blog

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

Generative AI 88

Generative AI Responsible AI Automation LLM 88