Business Intelligence Data Integration Explainability 
IBM Journey to AI blog
OCTOBER 12, 2023
Security and privacy —When all data scientists and AI models are given access to data through a single point of entry, data integrity and security are improved. Explainable AI — Explainable AI is achieved when an organization can confidently and clearly state what data an AI model used to perform its tasks.
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.
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Defined.ai blog
AUGUST 10, 2023
The following section will explore the potential challenges of integrating AI and financial data and discuss strategies to overcome them. Overcoming Challenges in AI and Financial Data Integration As with any technological advancement, integrating AI and financial data presents its own set of challenges.
Marktechpost
MAY 12, 2024
SEON SEON is an artificial intelligence fraud protection platform that uses real-time digital, social, phone, email, IP, and device data to improve risk judgments. It is based on adjustable and explainable AI technology. They automate insights using business intelligence (BI), analytics, and low-code and pro-code applications.
IBM Journey to AI blog
OCTOBER 20, 2023
AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. Store operating platform : Scalable and secure foundation supports AI at the edge and data integration. trillion in value.
IBM Journey to AI blog
DECEMBER 16, 2022
An enterprise data catalog automates the process of contextualizing data assets by using: Business metadata to describe an asset’s content and purpose. A business glossary to explain the business terms used within a data asset.
AWS Machine Learning Blog
SEPTEMBER 6, 2023
In this post, we build a secure enterprise application using AWS Amplify that invokes an Amazon SageMaker JumpStart foundation model, Amazon SageMaker endpoints, and Amazon OpenSearch Service to explain how to create text-to-text or text-to-image and Retrieval Augmented Generation (RAG).
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