Unite.AI

NOVEMBER 13, 2024

As multi-cloud environments become more complex, observability must adapt to handle diverse data sources and infrastructures. Over the next few years, we anticipate AI and machine learning playing a key role in advancing observability capabilities, particularly through predictive analytics and automated anomaly detection.

Machine Learning 144

Machine Learning Large Language Models Data Quality Automation 144

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. With AI, data quality checks happen in real time. This foresight is crucial in maintaining not just data integrity but also operational continuity.

Data Integration 40

Data Integration Automation Machine Learning AI 40

ODSC - Open Data Science

MAY 31, 2023

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

Machine Learning 131

Machine Learning Data Science Data Ingestion Neural Network 131

Unite.AI

JANUARY 7, 2025

Data Integration and Scalability: Integrates with existing sensors and data systems to provide a unified view of crop health. Continuously learns from gathered data to improve accuracy and predictions. Provides early alerts, enabling growers to take preemptive action.

Computer Vision 176

Computer Vision Actionable Intelligence Continuous Learning Algorithm 176

Towards AI

NOVEMBER 3, 2023

the authors of the multimodal data integration in oncology paper. I recently read this article (link) about multimodal data integration for oncology with artificial intelligence (AI). Some of the required information and potential applications of multimodal data integration. Image credits to Lipkova et al.,

Data Integration 119

Data Integration Artificial Intelligence Artificial Intelligence Deep Learning 119

Unite.AI

FEBRUARY 20, 2025

Data Integration and Machine Learning Techniques To support its functionality, the AI Co-Scientist integrates diverse data sources, including published literature, experimental results, and domain-specific databases.

Machine Learning 120

Machine Learning AI AI Natural Language Processing 120

Unite.AI

NOVEMBER 11, 2024

Alix Melchy is the VP of AI at Jumio, where he leads teams of machine learning engineers across the globe with a focus on computer vision, natural language processing and statistical modeling. Jumio provides AI-powered identity verification, eKYC, and compliance solutions to help businesses protect against fraud and financial crime.

Machine Learning 157

Machine Learning AI AI Natural Language Processing 157

Towards AI

MAY 8, 2024

Created by the author with DALL E-3 Google Earth Engine for machine learning has just gotten a new face lift, with all the advancement that has been going on in the world of Artificial intelligence, Google Earth Engine was not going to be left behind as it is an important tool for spatial analysis.

Machine Learning 104

Machine Learning Large Language Models AI Engineer Data Science 104

Towards AI

JANUARY 21, 2025

This post explores the transformative effects of advanced data integration and AI technologies in evaluation processes within the public sector, emphasizing the potential, challenges, and future implications of these innovations. Author(s): Mirko Peters Originally published on Towards AI. This member-only story is on us.

Data Integration 105

Data Integration Machine Learning AI AI 105

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

Pickl AI

OCTOBER 9, 2023

However, with the emergence of Machine Learning algorithms, the retail industry has seen a revolutionary shift in demand forecasting capabilities. This technology allows computers to learn from historical data, identify patterns, and make data-driven decisions without explicit programming.

Machine Learning 98

Machine Learning Algorithm ML Data Quality 98

Marktechpost

MARCH 22, 2024

Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. Additionally, they struggle to adjust to changing data distributions or unfamiliar domains.

Machine Learning 135

Machine Learning Explainability Categorization ETL 135

Marktechpost

JANUARY 22, 2025

Its design integrates advanced cryptography with machine learning techniques to create a trustless, secure, collaborative ecosystem. By integrating cryptographic techniques like zero-knowledge proofs and differential privacy, ZKLoRA ensures the security of proprietary LoRA updates and base models.

Machine Learning 128

Machine Learning AI AI AI Development 128

Marktechpost

APRIL 24, 2024

This issue is pronounced in environments where data integrity and confidentiality are paramount. Existing research in Robotic Process Automation (RPA) has focused on rule-based systems like UiPath and Blue Prism, which automate routine tasks such as data entry and customer service.

Machine Learning 138

Machine Learning AI Research AI Researcher Large Language Models 138

IBM Journey to AI blog

JUNE 20, 2024

What is Machine Learning for IBM z/OS? Machine Learning for IBM® z/OS® is an AI platform tailor-made for IBM z/OS environments. It combines data and transaction gravity with AI infusion for accelerated insights at scale with trust and transparency. x86 configuration: Tensorflow Serving 2.4

Machine Learning 100

Machine Learning AI AI Deep Learning 100

Analytics Vidhya

MAY 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction Azure Synapse Analytics is a cloud-based service that combines the capabilities of enterprise data warehousing, big data, data integration, data visualization and dashboarding.

Big Data 373

Big Data Data Science Data Integration Machine Learning 373

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

Unite.AI

DECEMBER 17, 2024

This is especially important as most of our staff have not had the opportunity to work directly on a clinical trial, given their career focus on AI or machine learning. Unlearn has been a pioneer in integrating digital twins into clinical trials.

Artificial Intelligence 144

Artificial Intelligence Artificial Intelligence Machine Learning Explainability 144

Analytics Vidhya

MARCH 16, 2023

Introduction The data integration techniques ETL (Extract, Transform, Load) and ELT pipelines (Extract, Load, Transform) are both used to transfer data from one system to another.

ETL 348

ETL Data Integration Business Intelligence Machine Learning 348

Flipboard

NOVEMBER 18, 2024

Microsoft Fabric is getting new tools and capabilities to streamline artificial intelligence application development, enhance data integration and improve security in a series of announcements at Micr

Data Integration 86

Data Integration AI Development AI Developer Artificial Intelligence 86

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

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

Marktechpost

DECEMBER 12, 2024

The growing reliance on video data in machine learning applications has exposed several challenges in video decoding. Traditional pipelines can be slow, resource-intensive, and cumbersome to integrate into machine learning frameworks.

Machine Learning 78

Machine Learning Deep Learning Data Integration AI Researcher 78

Analytics Vidhya

JUNE 26, 2023

Introduction Data is, somewhat, everything in the business world. To state the least, it is hard to imagine the world without data analysis, predictions, and well-tailored planning! 95% of C-level executives deem data integral to business strategies.

Data Analysis 321

Data Analysis Data Integration Big Data Artificial Intelligence 321

Unite.AI

JULY 19, 2024

Some rely on machine learning algorithms, while others use rule-based systems or statistical methods. Hallucination detection tools can easily integrate with different AI systems. Guardrail AI Image source Guardrail AI is designed to ensure data integrity and compliance through advanced AI auditing frameworks.

LLM 274

LLM AI AI Data Quality 274

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

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. They distort feature importance, obscure meaningful correlations, and lead to unreliable model predictions.

Data Quality 130

Data Quality Data Drift Explainability Big Data 130

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 264

Machine Learning AI AI AI Engineer 264

Analytics Vidhya

SEPTEMBER 23, 2024

As data volumes grow and sources diversify, manual quality checks become increasingly impractical and error-prone. This is where automated data quality checks come into play, offering a scalable solution to maintain data integrity and reliability.

Data Quality 271

Data Quality Automation Data Integration Generative AI 271

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. For cross-Region copying, see Copy data from an S3 bucket to another account and Region by using the AWS CLI.

Automation 111

Automation Machine Learning ML Explainability 111

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

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 126

ETL Machine Learning Data Ingestion Big Data 126

Marktechpost

FEBRUARY 28, 2024

By bridging the gap between unimodal FMs and enabling their application across various domains without extensive retraining or data collection, this research paves the way for more holistic and interconnected analyses in the biomedical field. Check out the Paper. All credit for this research goes to the researchers of this project.

Machine Learning 101

Machine Learning AI Research AI Researcher Data Scarcity 101

AI Weekly

JUNE 27, 2024

co-founder says data centers will be less energy-intensive in the future as artificial intelligence makes computations more efficient. bloomberg.com CData scores $350M as data integration needs surge in the age of AI In the race to adopt AI and gain a competitive edge, enterprises are making substantial investments.

Generative AI 240

Generative AI Robotics Artificial Intelligence Artificial Intelligence 240

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

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 313

Data Quality Algorithm AI AI 313

Pickl AI

JULY 24, 2024

Summary: Data quality is a fundamental aspect of Machine Learning. Poor-quality data leads to biased and unreliable models, while high-quality data enables accurate predictions and insights. What is Data Quality in Machine Learning? What is Data Quality in Machine Learning?

Data Quality 52

Data Quality Machine Learning Automation Data Integration 52