Remove Business Intelligence Remove Explainable AI Remove NLP
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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. “Foundation models make deploying AI significantly more scalable, affordable and efficient.”

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Top Data Analytics Trends Shaping 2025

Pickl AI

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025. and receiving instant, actionable insights.

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GPT-4o

Bugra Akyildiz

Explainable AI: For complex models like deep neural networks, ChatGPT could provide explanations for model predictions, identify the most influential features, and surface potential biases or fairness issues. Quary is an open-source business intelligence (BI) tool designed specifically for engineers. Sennrich et al.

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Data Science Cheat Sheet for Business Leaders

Pickl AI

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Here are some trends to watch: Democratization of Data Science: With user-friendly tools and cloud-based platforms, data science will become more accessible to businesses of all sizes.