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How data stores and governance impact your AI initiatives

IBM Journey to AI blog

Explainable AIExplainable AI is achieved when an organization can confidently and clearly state what data an AI model used to perform its tasks. Key to explainable AI is the ability to automatically compile information on a model to better explain its analytics decision-making.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs. ” Are foundation models trustworthy? .

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The next generation of BI: Powered by IBM Granite foundation models

IBM Journey to AI blog

IBM® Cognos® Analytics has long been recognized as the gold standard in business intelligence (BI). But what many might not know is how Cognos Analytics has seamlessly integrated artificial intelligence (AI) to revolutionize users’ BI experience.

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Beyond Consolidated Data: Why You Need AI-Powered Business Intelligence

Mlearning.ai

Modern organizations rely heavily on business intelligence (BI) tools to consolidate and analyze data. Manual analysis simply cannot keep pace with the speed of business. The Need for AI-Powered Business Intelligence To gain a competitive edge, organizations need to move beyond consolidated data and manual analysis.

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Financial Data & AI: The Future of Business Intelligence

Defined.ai blog

Explainable AI (XAI) As AI models become more complex, understanding how they arrive at decisions becomes crucial, especially in a heavily regulated sector like finance. Explainable AI aims to make AI decision-making processes transparent and understandable. Implementing robust data security measures.

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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

This business intelligence and user experience tool allows you to build interactive dashboards, models for cleaning tables, and set up alerts to notify users when your data changes. The tool is a full-stack BI platform, so analysts can write their metrics in-house, enabling the entire business to work with the data with ease.

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Top AI Tools Enhancing Fraud Detection and Financial Forecasting

Marktechpost

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.

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