ODSC - Open Data Science

APRIL 20, 2023

Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions Let’s explore the elements of data integrity, and why they matter for AI/ML. Deep Learning Approaches to Sentiment Analysis, Data Integrity, and Dolly 2.0 Here’s how. Register by Friday to save 30%.

Deep Learning 52

Deep Learning Data Integration Large Language Models Data Science 52

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.

Data Ingestion 230

Data Ingestion Data Integration Data Quality LLM 230

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.

ETL 222

ETL Data Integration Data Quality Generative AI 222

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 AI 321

IBM Journey to AI blog

JUNE 29, 2023

By having real-time data at their fingertips, decision-makers can adjust their strategies, allocate resources accordingly, and capitalize on the unexpected spike in demand, ensuring customer satisfaction while maximizing revenue. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Business Intelligence 246

Business Intelligence Data Integration ETL Automation 246

Towards AI

NOVEMBER 12, 2024

From standard implementations to specialized frameworks addressing cost constraints, real-time interactions, and multi-modal data integration, these variants showcase the versatility and… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter.

NLP 99

NLP Large Language Models Data Integration AI 99

IBM Journey to AI blog

JANUARY 17, 2023

This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. The result is more useful data for decision-making, less hassle and better compliance. Data integration. Start a trial.

Data Integration 147

Data Integration Data Science Automation Metadata 147

IBM Journey to AI blog

JUNE 28, 2024

In a previous blog, we presented the three-layered model for efficient network operations. The main challenges in the context of applying generative AI across these layers are: Data layer : Generative AI initiatives are data projects at their core, with inadequate data comprehension being one of the primary complexities.

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Generative AI Automation Large Language Models AI 234

IBM Journey to AI blog

NOVEMBER 9, 2023

Created by HL7 International, FHIR helps to deliver a view of health history for patients who see multiple providers in different health plans by compiling all information into a single personal health record that integrates data from different formats.

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Data Integration Automation 220

IBM Journey to AI blog

JULY 28, 2023

As an independent software vendor (ISV), we at Primeur embed the Open Liberty Java runtime in our flagship data integration platform, DATA ONE. Primeur and DATA ONE As a smart data integration company, we at Primeur believe in simplification.

Data Integration 189

Data Integration 189

IBM Journey to AI blog

JANUARY 17, 2024

Strong encryption algorithms like AES effectively transform plaintext into ciphertext, ensuring that even if an unauthorized party gains access, they won’t be able to decrypt sensitive data without access to the authorized users’ encryption key. Data integrity Cryptography is also used to ensure the integrity of data.

Algorithm 295

Algorithm Data Integration Computer Scientist 295

AssemblyAI

JANUARY 5, 2024

Join Us On Discord AssemblyAI Integrations Check out our new  integrations  page for all the latest AssemblyAI integrations and start building with your favorite tools and services. LlamaIndex Integration : With LlamaIndex, you can easily store and index your data, and then use them with LLMs to build applications.

Large Language Models 147

Large Language Models Explainability Python Visual AI 147

IBM Journey to AI blog

SEPTEMBER 5, 2024

To maximize the value of their AI initiatives, organizations must maintain data integrity throughout its lifecycle. Managing this level of oversight requires adept handling of large volumes of data. Just as aircraft, crew and passengers are scrutinized, data governance maintains data integrity and prevents misuse or mishandling.

Metadata 189

Metadata Data Quality Auto-classification DevOps 189

IBM Journey to AI blog

APRIL 19, 2023

This work involved creating a single set of definitions and procedures for collecting and reporting financial data. The water company also needed to develop reporting for a data warehouse, financial data integration and operations.

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Data Integration Automation 264

IBM Journey to AI blog

MARCH 25, 2024

This blog and the IBM Institute for Business Value study The Revolutionary Content Supply Chain aim to answer these questions to help executives and their employees to better understand the changing landscape in content creation and embrace the power of generative AI models when it comes to optimizing their content supply chains.

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IBM Journey to AI blog

NOVEMBER 14, 2023

Innovating at scale is made possible with IBM Z modernization tools like Wazi Image Builder, Wazi Dev Spaces on OpenShift, CI/CD pipelines, z/OS Connect for APIs, zDIH for data integrations, and IBM Watson for generative AI. Get to know Wazi as a Service The post An introduction to Wazi as a Service appeared first on IBM Blog.

DevOps 321

DevOps Automation Data Integration Generative AI 321

IBM Journey to AI blog

DECEMBER 4, 2023

They must also make sure that customer data is secure and that its use is compliant with data privacy regulations. More advanced generative AI use cases With a focus on safety, data integrity and security, the industry can move forward with testing more advanced generative AI implementations.

Generative AI 222

Generative AI AI AI Automation 222

Unite.AI

AUGUST 28, 2024

This blog will explore the five challenges in implementing AI in healthcare, their solutions, and their benefits. Challenges of Using AI in Healthcare Physicians, doctors, nurses, and other healthcare providers face many challenges integrating AI into their workflows, from displacement of human labor to data quality issues.

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Data Quality Algorithm AI AI 317

IBM Journey to AI blog

NOVEMBER 14, 2023

Serve : Build cloud services for data products through automation and platform service technology so they can be operated securely at global scale. Realize: Instrument the data product services to enable adherence to risk and compliance controls with event and metrics data integrated to financial management.

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ESG Generative AI AI AI 328

IBM Journey to AI blog

AUGUST 7, 2023

Transparency throughout the data lifecycle and the ability to demonstrate data integrity and consistency are critical factors for improvement. The ledger delivers tamper evidence, enabling the detection of any modifications made to the data, even if carried out by privileged users.

Data Integration 189

Data Integration Metadata Automation 189

IBM Journey to AI blog

SEPTEMBER 23, 2024

. “It all starts with our upstream collaboration on data—connecting watsonx.data with Salesforce Data Cloud. ” Data integration fuels AI agents The partnership also plans to incorporate AI agents into Slack, Salesforce’s workplace communication platform.

Explainability 100

Explainability AI AI Data Quality 100

IBM Journey to AI blog

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

Data Platform 214

Data Platform Data Mining AI AI 214

Pickl AI

OCTOBER 6, 2024

Summary: This blog explores the key differences between ETL and ELT, detailing their processes, advantages, and disadvantages. Understanding these methods helps organizations optimize their data workflows for better decision-making. Understanding these components helps organisations optimise their data integration efforts.

ETL 52

ETL Data Quality Data Integration Big Data 52

IBM Journey to AI blog

JUNE 17, 2024

Some of the common challenges that enterprises face when protecting data are: Maintaining data integrity and privacy amid the threat of potential data breaches and data leaks. Managing IT budgets while dealing with increased cyberthreats and regulatory compliance.

Metadata 124

Metadata Data Integration AI AI 124

Pickl AI

OCTOBER 17, 2024

Summary: Hash function are essential algorithms that convert input data into fixed-size outputs. They ensure data integrity, secure password storage, and enable digital signatures. This process is essential for various applications, including data integrity and security. Hash functions are deterministic.

Data Integration 52

Data Integration Algorithm Python Data Science 52

IBM Journey to AI blog

SEPTEMBER 6, 2023

Real-time data integration As seen in platforms like IBM Planning Analytics , real-time data integrations ensures that budgets are always up to date. Since data from different sources is instantly merged and processed, delays become a thing of the past.

Data Integration 235

Data Integration Artificial Intelligence Artificial Intelligence Algorithm 235

Pickl AI

JULY 14, 2024

Summary: This blog explores the different types of keys in DBMS, including Primary, Unique, Foreign, Composite, and Super Keys. It highlights their unique functionalities and applications, emphasising their roles in maintaining data integrity and facilitating efficient data retrieval in database design and management.

Data Integration 52

Data Integration Algorithm Generative AI Data Science 52

Marktechpost

APRIL 18, 2024

Improvements over Idefics1 : Idefics2 utilizes the NaViT strategy for processing images in native resolutions, enhancing visual data integrity. Enhanced OCR capabilities through specialized data integration improve text transcription accuracy. Check out the HF Project Page and Blog.

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Data Integration AI AI Automation 134

IBM Journey to AI blog

DECEMBER 7, 2023

With IBM App Connect, business users and integration specialists can discover existing APIs through the App Connect catalog. They can reuse existing APIs in App/Data Integration projects and they can create new APIs from model-driven integration flows. It is available as a SaaS offering or on-premises.

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Data Integration Automation 229

IBM Journey to AI blog

OCTOBER 30, 2023

AWS’s secure and scalable environment ensures data integrity while providing the computational power needed for advanced analytics. Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market.

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AI AI Generative AI Algorithm 247

IBM Journey to AI blog

DECEMBER 13, 2023

For all practical purposes, the following statements are true of a good hash function: Collision resistant: If any portion of the data is modified, a different hash will be generated, ensuring data integrity. That is, given a digest, it is not possible to find the data that produces it, ensuring data security.

Algorithm 312

Algorithm Data Integration 312

Pickl AI

OCTOBER 23, 2024

Summary : ACID properties in DBMS—Atomicity, Consistency, Isolation, and Durability—are fundamental for ensuring reliable transactions and maintaining data integrity. Introduction Database Management Systems (DBMS) are crucial in storing, retrieving, and managing data efficiently.

Data Integration 52

Data Integration Deep Learning Data Quality Data Science 52

Pickl AI

OCTOBER 18, 2024

It ensures data integrity by preventing duplicate entries and can consist of one or more columns. Introduction Database Management Systems (DBMS) are essential for efficiently storing, managing, and retrieving data in relational databases. Keys are crucial in these systems to ensure data integrity and enable efficient access.

Data Integration 52

Data Integration Data Analysis Data Science Machine Learning 52

AWS Machine Learning Blog

JUNE 18, 2024

The solution addressed in this blog solves Afri-SET’s challenge and was ranked as the top 3 winning solutions. This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors.

Generative AI 124

Generative AI Data Ingestion Python LLM 124

Pickl AI

AUGUST 8, 2024

Summary: Data normalization is the process of organizing a database to minimize redundancy and dependency, enhancing data integrity and efficiency. Introduction Data normalization is a fundamental concept in database design that involves organising data to minimise redundancy and dependency.

Data Integration 52

Data Integration Data Science 52

IBM Journey to AI blog

AUGUST 23, 2023

It is supported by querying, governance and open data formats to access and share data across the hybrid cloud. A strong data foundation is critical for the success of AI implementations. Book a consultation to discuss how IBM data fabric can accelerate your AI journey Start your free trial with IBM watsonx.ai

Large Language Models 187

Large Language Models Data Discovery LLM AI 187

Pickl AI

AUGUST 30, 2024

Introduction It is a critical process in the digital landscape, enabling organisations to transfer data between systems, formats, or storage solutions. As businesses evolve, the need for efficient data management becomes paramount. Explore More: Cloud Migration: Strategy and Tools What is Data Migration?

Data Quality 52

Data Quality Data Integration Automation Machine Learning 52