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Re-evaluating data management in the generative AI age

IBM Journey to AI blog

Generative AI has altered the tech industry by introducing new data risks, such as sensitive data leakage through large language models (LLMs), and driving an increase in requirements from regulatory bodies and governments.

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Why data governance is essential for enterprise AI

IBM Journey to AI blog

This problem is still being figured out by regulators, but it could easily become a major issue for any form of generative AI that learns from artistic intellectual property. We expect this will lead into major lawsuits in the future, and that will have to be mitigated by sufficiently monitoring the IP of any data used in training.

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How to Become a Data Analyst? Step by Step Guide

Marktechpost

In order to solve particular business questions, this process usually includes developing and managing data systems, collecting and cleaning data, analyzing it statistically, and interpreting the findings. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

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Top 30 Artificial Intelligence (AI) Tools for Data Analysts

Marktechpost

IBM Watson Analytics IBM AI-driven insights are used by Watson Analytics, a cloud-based data analysis and visualization tool, to assist users in understanding their data. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.