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AI in Data Governance: Enhancing Data Integrity and Security

ODSC - Open Data Science

Artificial Intelligence (AI) stands at the forefront of transforming data governance strategies, offering innovative solutions that enhance data integrity and security. In this post, let’s understand the growing role of AI in data governance, making it more dynamic, efficient, and secure.

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Predictive healthcare analytics driving smarter decisions

Dataconomy

The global predictive analytics market in healthcare, valued at $11.7 Healthcare providers now use predictive models to forecast disease outbreaks, reduce hospital readmissions, and optimize treatment plans. Major data sources for predictive analytics include EHRs, insurance claims, medical imaging, and health surveys.

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Mastering healthcare data governance with data lineage

IBM Journey to AI blog

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

Business Intelligence & AI Strategy Learn how AI is driving data-driven decision-making, predictive analytics , and automation in enterprises. Big Data Analytics & AI Strategies Discover how businesses leverage data-driven decision-making, AI automation, and predictive analytics to drive success.

AI 217
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Solving Complex Telecom Challenges with Data Governance and Location Analytics

Precisely

Here are some of the key trends and challenges facing telecommunications companies today: The growth of AI and machine learning: Telecom companies use artificial intelligence and machine learning (AI/ML) for predictive analytics and network troubleshooting. Data integration and data integrity are lacking.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.

Analytics 203
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What is data observability? 6 reasons it’s a game changer for your organization

Data Science Connect

This could include data quality checks, alerts, and notifications. Establish data governance: Establish clear data governance policies to ensure that your data is accurate, complete, and accessible. This could include data visualization tools, predictive analytics software, and more.