IBM Journey to AI blog

SEPTEMBER 2, 2024

Difficulty managing intricate data processing workflows with multiple stages and diverse data sources can complicate the whole data integration process. Difficulty managing the data lifecycle according to compliance standards and adhering to data privacy and security regulations can be another signal.

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Data Integration Data Quality AI AI 130

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.,

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Data Integration Artificial Intelligence Artificial Intelligence Deep Learning 119

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. By analyzing historical data patterns, AI can forecast potential risks and offer insights that help you preemptively adjust your strategies.

Data Integration 40

Data Integration Automation Machine Learning AI 40

Analytics Vidhya

JUNE 13, 2024

However, working with LLMs can be challenging, requiring developers to navigate complex prompting, data integration, and memory management tasks. This is where Langchain comes into play, a powerful open-source Python framework designed to […] The post A Comprehensive Guide on Langchain appeared first on Analytics Vidhya.

Large Language Models 381

Large Language Models Natural Language Processing NLP Python 381

Marktechpost

MARCH 20, 2024

Work with us here The post This AI Paper Proposes Uni-SMART: Revolutionizing Scientific Literature Analysis with Multimodal Data Integration appeared first on MarkTechPost. Don’t Forget to join our 38k+ ML SubReddit Want to get in front of 1.5 Million AI enthusiasts?

Data Integration 134

Data Integration Data Analysis AI AI 134

AI News

FEBRUARY 28, 2025

AI models, often opaque and centralised, face scrutiny over data integrity and bias issues blockchain counters with transparent, immutable records. Platforms like Ocean Protocol use blockchain to log AI training data, providing traceability without compromising ownership.

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Artificial Intelligence Artificial Intelligence AI AI 233

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Processing large amounts of raw data from various sources requires appropriate tools and solutions for effective data integration. Building an ETL pipeline using Apache […].

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ETL Data Science Data Integration 383

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon. Introduction to ETL ETL is a type of three-step data integration: Extraction, Transformation, Load are processing, used to combine data from multiple sources. It is commonly used to build Big Data.

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ETL Big Data Data Science Data Integration 382

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.

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Big Data Data Science Data Integration Machine Learning 373

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

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Data Integration AI Development AI Developer Artificial Intelligence 87

Analytics Vidhya

JUNE 24, 2024

They help in ensuring data integrity and establishing relationships between tables. It links various data points across tables to ensure smooth database operations. Introduction Keys are an important part of database management systems (DBMS) like SQL.

Data Integration 318

Data Integration 318

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.

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ETL Data Integration Business Intelligence Machine Learning 348

Analytics Vidhya

APRIL 1, 2024

This is a significant step in safeguarding the government’s data integrity. The US government has imposed a ban on the use of Microsoft’s Copilot AI on all government-issued PCs, citing alarming security apprehensions raised by the Office of Cybersecurity.

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Data Integration AI Tools AI AI 316

AI News

FEBRUARY 27, 2025

Real-time verification: Provides direct validation for every claim and data point. Enterprise data integration: Analyses a mix of public and private datasets to deliver actionable insights. Interactive visualisation engine: Automatically generates and cites graphs and charts to enhance reporting.

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AI Researcher AI Research Big Data AI 224

Analytics Vidhya

JUNE 20, 2024

Comprehending super keys facilitates the maintenance of data integrity and record uniqueness in relational databases. Introduction A significant component of a Database Management System (DBMS) that is essential to database administration and design is the super key.

Data Integration 305

Data Integration 305

Analytics Vidhya

JUNE 18, 2024

Introduction With a focus on data integrity and effective retrieval, this article offers a thorough description of primary keys in a database management system (DBMS). It covers types of primary keys, their creation and implementation, and practical applications.

Data Integration 305

Data Integration 305

Analytics Vidhya

JULY 8, 2024

Introduction Managing data transactions is an important skill to have while working with databases. It offers an array of built-in commands that can handle transactions, ensuring data integrity and consistency. Tools like Structured Query Language (SQL) help you do this efficiently.

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Data Integration 303

Analytics Vidhya

JULY 1, 2024

They ensure data integrity and efficient data retrieval in databases. Introduction Keys play a crucial role in Database Management Systems (DBMS) like SQL. Among the various types of keys, composite keys are particularly significant in complex database designs.

Data Integration 303

Data Integration 303

Analytics Vidhya

APRIL 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. In this article, I’ll show […].

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ETL Data Science Data Integration Automation 328

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 322

Data Analysis Data Integration Big Data Artificial Intelligence 322

AI News

MARCH 9, 2025

Data privacy, data protection and data governance Adequate data protection frameworks and data governance mechanisms should be established or enhanced to ensure that the privacy and rights of individuals are maintained in line with legal guidelines around data integrity and personal data protection.

Big Data 227

Big Data Artificial Intelligence Artificial Intelligence AI 227

AI News

FEBRUARY 14, 2025

Rise of agentic AI and unified data foundations According to Dominic Wellington, Enterprise Architect at SnapLogic , Agentic AI marks a more flexible and creative era for AI in 2025. However, such systems require robust data integration because siloed information risks undermining their reliability.

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ESG Big Data Explainability AI 300

Unite.AI

FEBRUARY 6, 2025

VDURA prioritizes durability through multi-layered data protection, including erasure coding and hybrid storage architectures that balance performance and durability. This ensures that organizations can maintain data integrity while scaling their infrastructure.

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Data Platform Data Integration Metadata AI 147

IBM Journey to AI blog

JANUARY 9, 2024

This may also entail working with new data through methods like web scraping or uploading. Data governance is an ongoing process in the data lifecycle to help ensure compliance with laws and company best practices. Data integration: These tools enable companies to combine disparate data sources into one secure location.

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Data Ingestion Data Integration Data Quality LLM 222

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.

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Data Quality Automation Data Integration Generative AI 271

Unite.AI

MARCH 6, 2025

The platforms seamless data integration and automation capabilities enable insurance professionals to identify cross-selling potential, optimize carrier placements, and maximize profitability at speeds never seen before.

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Automation AI AI Artificial Intelligence 165

IBM Journey to AI blog

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. The remote execution engine is a fantastic technical development which takes data integration to the next level.

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ETL Data Integration Data Quality Generative AI 213

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.

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Computer Vision Actionable Intelligence Continuous Learning Algorithm 182

Analytics Vidhya

AUGUST 22, 2023

Introduction In today’s data-driven world, seamless data integration plays a crucial role in driving business decisions and innovation. Two prominent methodologies have emerged to facilitate this process: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT).

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ETL Data Integration 269

Unite.AI

DECEMBER 19, 2024

Palantirs expertise in data integration and AWS's secure cloud infrastructure enables Anthropic to deploy scalable AI solutions tailored to military needs. These models excel in risk assessment, decision-making, and intelligence analysis, making them highly relevant to military operations.

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AI AI Neural Network Artificial Intelligence 263

Unite.AI

OCTOBER 30, 2024

If the input data is outdated, incomplete, or biased, the results will inevitably be subpar. Unfortunately, organizations sometimes overlook this fundamental aspect, expecting AI to perform miracles despite flaws in the data. Integration challenges also pose significant obstacles.

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Automation Data Quality AI AI 189

Flipboard

FEBRUARY 12, 2025

The rapid advancement of single-cell technologies has created an urgent need for effective methods to integrate and harmonize single-cell data. scCobra effectively mitigates batch effects, minimizes over-correction, and ensures biologically meaningful data integration without assuming specific gene expression distributions.

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Data Integration Neural Network Deep Learning Machine Learning 65

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. Each piece represents a different type of data. This member-only story is on us.

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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.

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Machine Learning AI AI Natural Language Processing 124

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.

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Data Integration Business Intelligence ETL Automation 237

IBM Journey to AI blog

JUNE 27, 2024

Enterprise data is often complex, diverse and scattered across various repositories, making it difficult to integrate into gen AI solutions. This complexity is compounded by the need to ensure regulatory compliance, mitigate risk, and address skill gaps in data integration and retrieval-augmented generation (RAG) patterns.

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Generative AI Data Ingestion Large Language Models Data Discovery 305

Unite.AI

NOVEMBER 1, 2024

Poor data quality undermines the very foundation of AI systems, leading to flawed insights, increased costs, and potential ethical pitfalls. By adopting comprehensive data management strategies and fostering a culture that values data integrity, organizations can mitigate these risks.

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AI Development AI Developer Data Quality Data Science 162